{"id":5245,"date":"2026-02-10T16:44:49","date_gmt":"2026-02-10T07:44:49","guid":{"rendered":"https:\/\/u-lab2.my-pharm.ac.jp\/~mminfo\/wordpress\/?page_id=5245"},"modified":"2026-04-23T17:11:12","modified_gmt":"2026-04-23T08:11:12","slug":"achievements","status":"publish","type":"page","link":"https:\/\/u-lab2.my-pharm.ac.jp\/~mminfo\/achievements\/","title":{"rendered":"\u7814\u7a76\u5b9f\u7e3e"},"content":{"rendered":"\n

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2026<\/strong><\/h3>\n\n\n\n
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Disproportionality analysis and timing of Drug-InducedGuillain\u2013Barr\u00e9 Syndrome onset based on the Japanese adversedrug adverse event report database<\/strong>: Toriumi S<\/span>, Kurihara Y, Shimokawa K, Tanaka A, Sugiura Y, Araki N, Kawai O, Uesawa Y<\/span>, Pharmaceuticals<\/em>, in press (2026) Impact Factor:4.8<\/td><\/tr>
Impact of reporter type on signal detection of cancer therapy\u2013induced alopecia: A hypothesis-generating study using the FDA adverse event reporting system<\/strong><\/a>: Yajima A<\/span>, Uesawa Y<\/span>, Pharmaceuticals<\/em>, 19<\/strong>, 445 (2026) Impact Factor:4.8<\/td><\/tr>
Comparative analysis of OECD guideline data and Tox21 assays to improve reproductive and developmental toxicity prediction<\/strong><\/a>: Kwon HJ, Lee H, Lee S, Ko W, Yun SJ, Uesawa Y<\/span>, Jung J, Scientific Reports<\/em>, 16<\/strong>, 3417 (2026) Impact Factor:3.9<\/td><\/tr>
Cardiovascular adverse events associated with carfilzomib, bortezomib, and ixazomib:A Disproportionality analysis using the Japanese adverse drug event report database withanticancer agents as the reference group<\/strong>: Fujiwara M, Nagano S, Uesawa Y<\/span>, Uchida M, Muroi N, Shimizu Tb, in vivo<\/em>, in press (2026)<\/td><\/tr>
Design, Synthesis and QSAR-based antitumor signaling pathway analysis of pyrazoline- benzenesulfonamides mediated by cytostatic G1 arrest<\/strong><\/a>: Ozgun DO, Mete E, Yamali C, Kazaz C, Sakagami H, Amano S, Kurosaki K<\/span><\/span>, Uesawa Y<\/span>, Satoh K, Gul HI, Journal of Molecular Structure<\/em>, 1350<\/strong> (2026) Impact Factor:4.7<\/td><\/tr>
Disproportionality analysis of intravitreal ranibizumab, Aflibercept, and brolucizumab for cardiovascular and cerebrovascular events<\/strong><\/a>: Nosaka K, Nagano S, Fujiwara M, Yamaoka K, Uesawa Y<\/span>, Uchida M, Shimizu T, Journal of Clinical Pharmacology<\/em>, 66<\/strong>, e70094 (2026) Impact Factor:2.3<\/td><\/tr>
Statistical signal detection using spontaneous reporting databases and mechanistic complementation through AI\/QSAR-Based toxicity prediction: Proposal of an integrative framework toward evidence-based pharmaceutical practice<\/strong>: Uesawa Y<\/span>, Biological and Pharmaceutical Bulletin<\/em>, in press (2026)<\/td><\/tr>
Machine Learning\u2013based prediction of transthyretin binding activity and its application to screening food-derived compounds for ATTR amyloidosis<\/a><\/strong>: Iwashita Y<\/span>, Uesawa Y<\/span>, preprint server<\/em>, 202604.1199.v1 (2026)<\/td><\/tr>
Disproportionality analysis and timing of Drug-Induced Guillain\u2013Barr\u00e9 syndrome onset based on the Japanese adverse drug adverse event report database<\/a><\/strong>: Toriumi S<\/span>, Kurihara Y, Shimokawa K, Tanaka A, Sugiura Y, Araki N, Kawai O, Uesawa Y<\/span>, preprint server<\/em>, 202603.0277.v1 (2026)<\/td><\/tr>
Impact of reporter type on signal detection of cancer therapy\u2013induced alopecia: A hypothesis-generating study using the FDA adverse event reporting system<\/strong><\/a>: Yajima A<\/span>, Uesawa Y<\/span>, preprint server<\/em>, 202602.0929.v1 (2026)<\/td><\/tr><\/tbody><\/table><\/figure>\n<\/div><\/div>\n\n\n\n

2025<\/strong><\/h3>\n\n\n\n
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Principal component analysis of antiseizure medication-induced hostility\/aggression and factor analysis of levetiracetam using the food and drug administration adverse event reporting system<\/strong><\/a>: Hosoya R<\/span><\/span>, Kitajima K, Sogawa K, Ikegami D, Terajima T, Kato H, Funada M, Kagaya H, Uesawa Y<\/span>, Epilepsy Research<\/em>, 218<\/strong>, 107626 (2025) Impact Factor:2.0<\/td><\/tr>
Tumor-specific cytotoxicity of Pyrazole-based chalcone derivatives in human oral squamous cell carcinoma cell lines<\/strong><\/a>: Sakarya MT, Gul HI, Sakagami H, Nagai J, Uesawa Y<\/span>, Bandow K, Turkish Journal of Biology<\/em>, 49<\/strong>, 712-727 (2025)<\/td><\/tr>
A Comprehensive analysis of adverse events associated with HER2 inhibitors approved for breast cancer using the FDA adverse event report system (FAERS)<\/strong><\/a>: Yajima A<\/span>, Uesawa Y<\/span>, Pharmaceuticals<\/em>, 18<\/strong>, 1510 (2025) Impact Factor:4.8<\/td><\/tr>
Steroid-induced thrombosis: A Comprehensive analysis using the FAERS database<\/strong><\/a>: Watanabe A<\/span>, Uesawa Y<\/span>, Pharmaceuticals<\/em>, 18<\/strong>, 1463 (2025) Impact Factor:4.8<\/td><\/tr>
Adverse events of antibody-drug conjugates: Comparative analysis of agents with a common payload using the adverse event spontaneous reporting database<\/strong><\/a>: Yamaoka K, Masago S, Uchida M, Uesawa Y<\/span>, Muroi N, Shimizu T, The Oncologist<\/em>, 30<\/strong>, 1-12 (2025) Impact Factor:4.2<\/td><\/tr>
Comprehensive analysis of gastrointestinal injury induced by nonsteroidal anti-inflammatory drugs using data from FDA adverse event reporting system database<\/strong><\/a>: Kei M<\/span>, Uesawa Y<\/span>, Pharmaceuticals<\/em>, 18<\/strong>, 1204 (2025) Impact Factor:4.8<\/td><\/tr>
Exploring adverse event associations of predicted PXR agonists <\/strong><\/a>using<\/a> the FAERS database<\/strong>: Yamada S,<\/span> Uesawa Y<\/span>, International Journal of Molecular Sciences<\/em>, 26<\/strong>, 7630 (2025) Impact Factor:4.9<\/td><\/tr>
Comprehensive analysis of proteinuria and nephrotic syndrome using the Japanese adverse drug event reporting database<\/strong><\/a>: Masago S, Yamaoka K, Uchida M, Uesawa Y<\/span>, Yorifuji K, Shimizu T, in vivo<\/em>, 39<\/strong>, 2073-2084 (2025)<\/td><\/tr>
Consensus modeling strategies for predicting transthyretin binding affinity from Tox24 challenge data<\/strong><\/a>: Cirino T, Pinto L, Iwan M, Dougha A, Lu\u010di\u0107 B, Kraljevi\u0107 A, Navoyan Z, Tevosyan A, Yeghiazaryan H, Khondkaryan L, Abelyan N, Atoyan V, Babayan N, Iwashita Y<\/span>, Kimura K<\/span>, Komasaka T<\/span>, Asada M<\/span>, Jain S, Zakharov AV, Wang H, Liu W, Chupakhin V, Uesawa Y<\/span>, Chemical Research in Toxicology<\/em>, 38<\/strong>, 1061-1071 (2025) Impact Factor:3.8<\/td><\/tr>
Investigation of nicotine-induced hiccups: Effects of administration route using the FDA adverse events reporting system<\/strong><\/a>: Hosoya R<\/span>, Ishii-Nozawa R, Terajima T, Kagaya H, Uesawa Y<\/span>, Chem-Bio Informatics Journal<\/em>,  25<\/strong>, 19-27 (2025)<\/td><\/tr>
Development of a medication-related osteonecrosis of the jaw prediction model using the FDA adverse event reporting system database and machine learning<\/strong><\/a>: Toriumi S<\/span>, Shimokawa K, Yamamoto M, Uesawa Y<\/span>, Pharmaceuticals<\/em>, 18<\/strong>, 423 (2025) Impact Factor:4.8<\/td><\/tr>
Comprehensive analysis of strong opioid side effects in palliative care using the SIDER database<\/strong><\/a>: Hirai R<\/span>, Kei M<\/span>, Uesawa Y<\/span>, Journal of Clinical Medicine<\/em>, 14<\/strong>, 1410 (2025) Impact Factor:3.0<\/td><\/tr>
Disproportionality analysis of hepatotoxic and gastrointestinal adverse events associated with nintedanib using the Japanese adverse drug event report (JADER) database<\/a><\/strong>: Fujiwara M, Ikesue H, Yamaoka K, Uchida M, Uesawa Y<\/span>, Muroi N, Shimizu T, in vivo<\/em>, 39<\/strong>, 396-403 (2025)<\/td><\/tr>
Investigation of the total anticholinergic load of reported anticholinergic drug-related adverse events using the Japanese adverse drug event report database: a retrospective pharmacovigilance study<\/strong><\/a>: Kan Y<\/span>, Doi M, Uesawa Y<\/span>, Journal of Pharmaceutical Health Care and Sciences<\/em>, 11, <\/strong>1-8 (2025)<\/td><\/tr>
A comprehensive analysis of adverse events associated with HER2 inhibitors approved for breast cancer using the fda adverse event report system (FAERS)<\/strong><\/a>: Yajima A<\/span>, Uesawa Y<\/span>, preprint server<\/em>, 202508.0516.v1 (2025)<\/td><\/tr>
Comprehensive analysis of gastrointestinal injury induced by nonsteroidal anti-inflammatory drugs using data from the FDA adverse event reporting system database<\/strong><\/a>: Kei M<\/span>, Uesawa Y<\/span>, preprint server<\/em>, 202507.1234.v1 (2025)<\/td><\/tr>
Steroid-induced thrombosis: Comprehensive analysis through use of the FAERS database<\/strong><\/a>: Watanabe A<\/span>, Uesawa Y<\/span>, preprint server<\/em>, 202507.0253.v1 (2025)<\/td><\/tr>
Exploring adverse event associations of predicted PXR agonists using the FAERS database<\/strong><\/a>: Yamada S<\/span>, Uesawa Y<\/span>, preprint server<\/em>, 202507.0150.v1 (2025)<\/td><\/tr>
Development of a Medication-Related osteonecrosis of the jaw prediction model using the FDA adverse event reporting system database and machine learning<\/strong><\/a>: Toriumi S<\/span>, Shimokawa K, Yamamoto M, Uesawa Y<\/span>, preprint server<\/em>, 202502.0246.v1 (2025)<\/td><\/tr>
Comprehensive analysis of strong opioid side effects in palliative care using the SIDER database<\/strong><\/a>: Hirai R<\/span>, Kei M<\/span>, Uesawa Y<\/span>, preprint server<\/em>, 202501.0708.v1 (2025)<\/td><\/tr>
\u96a3\u63a5\u3059\u308b3 \u5927\u5b66\u3092\u62e0\u70b9\u306b\u3057\u305f\u7d30\u80de\u8001\u5316\u7814\u7a76\u306e\u63a8\u9032<\/strong>\uff1a\u5742\u4e0a\u3000\u5b8f\u3001\u9b5a\u7530\u3000\u614e\u3001\u5929\u91ce\u3000\u6ecb\u3001\u7530\u6cbc\u9756\u4e00\u3001\u6a2a\u702c\u654f\u5fd7\u3001\u5927\u9ad8\u7950\u8056\u3001\u4e95\u6fa4\u771f\u5e0c\u3001\u9b3c\u982d\u614e\u53f8\u3001\u677e\u7530\u73b2\u65bc\u5948\u3001\u5c0f\u6797\u771f\u5f66\u3001\u7530\u6751\u66a2\u7ae0\u3001\u9032\u85e4\u5f69\u82b1\u3001\u5927\u5ca1\u8cb4\u53f2\u3001\u6c5f\u7530\u7fa9\u548c\u3001\u9577\u6ca2\u60a0\u5b50\u3001\u65e5\u6bd4\u91ce\u3000\u9756\u3001\u4e2d\u5d8c\u3000\u88d5\u3001\ufa11\u5c71\u6d69\u53f8\u3001\u6d45\u898b\u7460\u7483\u3001\u5cf6\u6751\u7460\u3005\u82b1\u3001\u585a\u539f\u98db\u592e\u3001\u5742\u6771\u5065\u4e8c\u90ce\u3001\u53cb\u6751\u660e\u4eba\u3001\u5c0f\u7530\u614e\u592a\u90ce\u3001\u5b89\u90e8\u96c5\u4e16\u3001\u732a\u4fe3\u3000\u6075\u3001\u897f\u91ce\u5c1a\u543e\u3001\u9808\u6c38\u514b\u4f73\u3001\u9234\u6728\u9f8d\u4e00\u90ce\u3001\u4e2d\u8c37\u7965\u6075\u3001\u9ad8\u5c3e\u6d69\u4e00\u3001\u6749\u7530\u7fa9\u662d\u3001\u82e5\u6797\u82f1\u55e3\u3001\u53cb\u6751\u7f8e\u6839\u5b50\u3001\u9577\u539f\u793c\u5b97\u3001\u98ef\u5cf6\u6d0b\u4ecb\u3001\u4f50\u91ce\u5143\u5f66\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u6749\u672c\u660c\u5f18\u3001\u5c0f\u5ddd\u7531\u9999\u91cc\u3001\u5ef6\u6fa4\u5fe0\u771f\u3001\u4e0a\u7530\u5927\u8f14\u3001\u4e2d\u8c37\u5100\u4e00\u90ce\u3001\u767d\u7027\u7fa9\u660e\u3001\u6cb3\u702c\u96c5\u7f8e\u3001ACRA AM\u3001New Food Industry<\/em>\u300167<\/strong>\u3001143-151 (2025)<\/td><\/tr>
\u9069\u5207\u306a\u4e0d\u5747\u8861\u5206\u6790\u5831\u544a\u306e\u305f\u3081\u306eREADUS-PV\u30ac\u30a4\u30c9\u30e9\u30a4\u30f3\u306e\u6d3b\u7528\u3078\u306e\u671f\u5f85<\/strong>\uff1a\u91ce\u53e3\u7fa9\u7d18\u3001\u83c5\u3000\u88d5\u4eae<\/span>\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u533b\u85ac\u54c1\u5b89\u5168\u6027\u5b66\u300111<\/strong>\u3001123-128 (2025)<\/td><\/tr><\/tbody><\/table><\/figure>\n<\/div><\/div>\n\n\n\n

2024<\/strong><\/h3>\n\n\n\n
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Does ortho-substitution enhance cytotoxic potencies in a series of 3,5-bis(benzylidene)-4-piperidones?<\/strong><\/a>: Karki SS, Das U, Balzarini J, Clercq ED, Sakagami H, Uesawa Y<\/span>, Roayapalley PK, Dimmock JR, Medicines<\/em>, 11<\/strong>, 19 (2024)<\/td><\/tr>
Evaluation of \u03b2-Blocker-Induced bradyarrhythmia using an analysis of the Japanese adverse drug event report database<\/strong><\/a>: Motoishi H, Uesawa Y<\/span>, Ishii-Nozawa R, Biological and Pharmaceutical Bulletin<\/em>, 47<\/strong>, 1668\u20131674 (2024)<\/td><\/tr>
Characterization of antineoplastic agents inducing taste and smell disorders using the FAERS database<\/strong><\/a>: Hamazaki R<\/span>, Uesawa Y<\/span>, Pharmaceuticals<\/em>, 17<\/strong>, 1116 (2024) Impact Factor:4.8<\/td><\/tr>
Comprehensive analysis of drug-induced parkinson-like events<\/strong><\/a>: Kikegawa M<\/span><\/span>, Sone H, Uesawa Y<\/span>, Pharmaceuticals<\/em>, 17<\/strong>, 1099 (2024) Impact Factor:4.8<\/td><\/tr>
Nuclear receptors and stress response pathways associated with the development of oral mucositis induced by antineoplastic agents<\/strong><\/a>: Kagaya M<\/span>, Uesawa Y<\/span>, Pharmaceuticals<\/em>, 17, 1086 (2024) Impact Factor:4.8<\/td><\/tr>
S-COPHY: A deep learning model for predicting the chemical class of compounds as cosmetics or pharmaceuticals based on single 3D molecular images<\/strong><\/a>: Hisaki T, Yoshida K, Nukaga T, Iwanaga S, Mori M, Uesawa Y<\/span>, Sekine S, Tamura A, Computational Toxicology<\/em>, 30<\/strong>, 100311 (2024) Impact Factor:2.9<\/td><\/tr>
The association between molecular initiating events and drug-induced hiccups<\/strong><\/a>: Hosoya R<\/span>, Ishii-Nozawa R, Terajima T, Kagaya H, Uesawa Y<\/span>, Pharmaceuticals<\/em>, 17<\/strong>, 379 (2024) Impact Factor:4.8<\/td><\/tr>
Progress in predicting ames test outcomes from chemical structures: An in-depth re-evaluation of models from the 1st and 2nd Ames\/QSAR international challenge projects<\/strong><\/a>: Uesawa Y<\/span>, International Journal of Molecular Sciences<\/em>, 25<\/strong>, 1373 (2024) Impact Factor:4.9<\/td><\/tr>
Opioid-related respiratory depression in non-cancer patients, as reported in the Japanese adverse drug event report database<\/strong><\/a>: Sugawara H, Uchida M, Suzuki S, Suga Y, Uesawa Y<\/span>, Nakagawa T, Takase H, Journal of Nippon Medical School<\/em>, 90<\/strong>, 439-448 (2023)<\/td><\/tr>
Disproportionality analysis of stomatitis associated with anticancer drugs using Japanese adverse drug event reporting database<\/strong><\/a>: Hosonaka K, Yamaoka K, Ikeda N, Uchida M, Uesawa Y<\/span>, Takahashi K, Shimizu T, Oncology<\/em> , 102<\/strong>, 810-817 (2024) Impact Factor:2.3<\/td><\/tr>
Synthesis and biological evaluation of 2-azolylmethylene-3-(2H)-benzofuranone derivatives as potent monoamine oxidases inhibitors<\/strong><\/a>: Takao K, Kubota Y, Kurosaki K<\/span>, Kamauchi H, Uesawa Y<\/span>, Sugita Y, Chem Pharm Bull<\/em>, 72<\/strong>, 109-120 (2024)<\/td><\/tr>
Characterization of antineoplastic agents inducing taste and smell disorders using the FAERS database<\/strong><\/a>: Hamazaki R<\/span>, Uesawa Y<\/span>, preprint server<\/em>, 202407.0726.v1 (2024)<\/td><\/tr>
Nuclear receptors and stress response pathways associated with the development of oral mucositis induced by antineoplastic agents<\/strong><\/a>: Kagaya M<\/span>, Uesawa Y<\/span>, preprint server<\/em>, 202407.0696.v1 (2024)<\/td><\/tr>
Comprehensive analysis of various parkinson-like events and induced drugs<\/strong><\/a>: Kikegawa M<\/span><\/span>, Sone H, Uesawa Y<\/span>, preprint server<\/em>, 202406.0258.v1 (2024)<\/td><\/tr>
Association between Molecular Initiating Events (MIEs) in drug-induced hiccups<\/strong><\/a>: Hosoya R<\/span>, Ishii-Nozawa R, Terajima T, Kagaya H, Uesawa Y<\/span>, preprint server<\/em>, 202402.0808.v1 (2024)<\/td><\/tr>
Progress in predicting ames test outcomes from chemical structures: An in-depth re-evaluation of models from the 1st and 2nd Ames\/QSAR international challenge projects<\/strong><\/a>:  Uesawa Y<\/span>, preprint server<\/em>, 202401.0601.v1 (2024)<\/td><\/tr>
\u526f\u4f5c\u7528\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9\u3092\u7528\u3044\u305f\u533b\u85ac\u54c1\u306e\u5b89\u5168\u6027\u8a55\u4fa1 \u7b2c\u516d\u56de\u3000FAERS\u3092\u7528\u3044\u305f\u5473\u899a\u30fb\u55c5\u899a\u969c\u5bb3\u3092\u8a98\u767a\u3059\u308b\u6297\u304c\u3093\u85ac\u306e\u89e3\u6790\u4e8b\u4f8b<\/strong>\uff1a\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u6ff1\u5d0e\u7406\u6c99<\/span>\u3001\u533b\u85ac\u54c1\u5b89\u5168\u6027\u5b66<\/em>\u300110<\/strong>\u3001141-143(2024)<\/td><\/tr>
\u30ef\u30af\u30c1\u30f3\u6709\u5bb3\u4e8b\u8c61\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9VAERS\u3092\u7528\u3044\u3066COVID-19\u30ef\u30af\u30c1\u30f3\u63a5\u7a2e\u5f8c\u306e\u585e\u6813\u304a\u3088\u3073\u8840\u6813\u75c7\u3092\u8aad\u307f\u89e3\u304f<\/strong>\uff1a\u83c5\u3000\u88d5\u4eae<\/span>\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u533b\u85ac\u54c1\u5b89\u5168\u6027\u5b66<\/em>\u300110<\/strong>\u300149-51(2024)<\/td><\/tr>
\u8a08\u7b97\u6bd2\u6027\u5b66\u306b\u57fa\u3065\u304fin silico\u306b\u3088\u308b\u5316\u5b66\u7269\u8cea\u3001\u5316\u7ca7\u54c1\u539f\u6599\u306e\u5b89\u5168\u6027\u4e88\u6e2c<\/strong>\uff1a\u690d\u6ca2\u82b3\u5e83<\/span>\u3001COSMETIC STAGE<\/em>\u300118<\/strong>\u300119-24 (2024)<\/td><\/tr>
Efficiency of pharmaceutical toxicity prediction in computational toxicology<\/strong><\/a>: Uesawa Y<\/span>, Toxicological Research<\/em>, 40<\/strong>, 1-9(2024) <\/td><\/tr><\/tbody><\/table><\/figure>\n<\/div><\/div>\n\n\n\n

2023<\/strong><\/h3>\n\n\n\n
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Evaluation of QSAR models for predicting mutagenicity: Outcome of the second ames\/QSAR international challenge project<\/strong><\/a>: Furuhama A, Kitazawa A, Yao J, Matos dos Santos CE,  Rathman J, Yang C, Ribeiro JV,  Cross K, Myatt G, Raitano G, Benfenati E, Jeliazkova N, Saiakhov R, Chakravarti SK, Foster RS, Bossa C, Battistelli CL, Benigni R, Sawada T, Wasada H, Hashimoto T, Wu M, Barzilay R, Daga PR, Clark RD, Mestres J, Montero A, Gregori-Puigjan\u00e9 E, Petkov P, Ivanova H, Mekenyan O, Matthews S, Guan D, Spicer J, Lui R, Uesawa Y<\/span>, Kurosaki K<\/span>, Matsuzaka Y<\/span>, Sasaki S, Cronin M, Belfield SJ, Firman JW, Sp\u00eenu N, Qiu M, Keca JM, Gini G, Li T, Tong W, Hong H, Liu Z, Igarashi Y, Yamada H, Sugiyama K, Honma M, SAR and QSAR in Environmental Research<\/em>, 34<\/strong>, 983-1001 (2023) Impact Factor:2.4<\/td><\/tr>
Analysis of opioid-related adverse events in Japan using FAERS database<\/strong><\/a>: Hirai R<\/span>, Uesawa Y<\/span>, Pharmaceuticals<\/em>, 16<\/strong>, 1541 (2023) Impact Factor:4.8<\/td><\/tr>
Comprehensive study of drug-induced pruritus based on adverse drug reaction report database<\/a><\/strong>: Nakao Y<\/span>, Asada M<\/span>, Uesawa Y<\/span>, Pharmaceuticals<\/em>, 16<\/strong>, 1500 (2023) Impact Factor:4.8<\/td><\/tr>
Predictive models based on molecular images and molecular descriptors for drug screening<\/strong><\/a>: Mamada H, Takahashi M, Ogino M, Nomura Y, Uesawa Y<\/span>, ACS Omega<\/em>, 8<\/strong>, 37186\u201337195 <\/em>(2023) Impact Factor:4.3<\/td><\/tr>
Potentiation of anticancer activity of G2\/M blockers by mild hyperthermia<\/strong><\/a>: Tagawa Y, Sakagami H, Tanuma S, Amano S, Uota S, Bandow K, Tomomura M, Uesawa Y<\/span>, Takao K, Sugita Y, Yamamoto N, Sakashita H, Nakakaji R, Koizumi T, Mitsudo K, Tohnai I, Anticancer Research<\/em>, 43<\/strong>, 3429-3439 (2023) <\/td><\/tr>
A comparative study of tumor-specificity and neurotoxicity between 3-styrylchromones and anti-cancer drugs<\/strong><\/a>: Abe T, Sakagami H, Amano S, Uota S, Bandow K, Uesawa Y<\/span>, U S, Shibata H, Takemura Y, Kimura Y, Takao K, Sugita Y, Sato A, Tanuma S, Takeshima H, Medicines<\/em>, 10<\/strong>, 43 (2023)<\/td><\/tr>
Analysis of corticosteroid-induced glaucoma using the Japanese adverse drug event reporting database<\/strong><\/a>: Kawabe A<\/span>, Uesawa Y<\/span>, Pharmaceuticals<\/em>, 16<\/strong>, 948 (2023) Impact Factor:4.8<\/td><\/tr>
Adverse event profile of azacitidine: Analysis by route of administration using Japanese pharmacovigilance database<\/strong><\/a>: Yamaoka K, Fujiwara M, Uchida M, Uesawa Y<\/span>, Muroi N, Shimizu T, Oncology<\/em>, 101<\/strong>, 664-674 (2023) <\/td><\/tr>
Identifying crude drugs in kampo medicines associated with drug-induced liver injury using the Japanese adverse drug event report database: A comprehensive survey<\/strong><\/a>: Kimura K<\/span>, Kikegawa M<\/span><\/span>, Kan Y<\/span>, Uesawa Y<\/span>, Pharmaceuticals<\/em>, 16<\/strong>, 678 (2023) Impact Factor:4.8<\/td><\/tr>
Examination of risk factors and expression patterns of atypical femoral fractures using a spontaneous report database: A retrospective pharmacovigilance study<\/strong><\/a>: Toriumi S<\/span>, Mimori R, Sakamoto H, Sueki H, Yamamoto M, Uesawa Y<\/span>, Pharmaceuticals<\/em>, 16<\/strong>, 626 (2023) Impact Factor:4.8<\/td><\/tr>
Assessment of time-to-onset and outcome of lung adverse events with pomalidomide from a pharmacovigilance study<\/a>:<\/strong> Kawahara Y, Murata S, Shimizu T, Uesawa Y<\/span>, Uchida M, in vivo<\/em>, 37<\/strong>, 955-961 (2023)<\/td><\/tr>
Analysis of drug-induced liver-related adverse event trend reporting between 1997 and 2019<\/strong><\/a>: Kamimura H, Setsu T, Kimura N, Kaneko S, Kamimura K, Tsuchiya A, Uesawa Y<\/span>, Terai S, Hepatology Research<\/em>, 53<\/strong>, 556-568 (2023) Impact Factor:3.4<\/td><\/tr>
Estimating drug-induced liver injury risk by in vitro molecular initiation response and pharmacokinetic parameters for during early drug development<\/a><\/strong>: Nukaga T, Takemura A, Endo Y, Uesawa Y<\/span>, Ito K, Toxicology Research<\/em>, 12<\/strong>, 86-94 (2023) Impact Factor:2.1<\/td><\/tr>
Impact of antibiotic time-outs in multidisciplinary ICU rounds for antimicrobial stewardship program on patient survival: A controlled before-and-after study<\/strong><\/a>: Mishima Y, Nawa N, Asada M<\/span>, Nagashima M, Aiso Y, Nukui Y, Fujiwara T, Shigemitsu H, Critical care explorations<\/em>, 5<\/strong>, e0837 (2023) Impact Factor:2.7<\/td><\/tr>
The influence of the rapid increase in the number of adverse event reports for COVID-19 vaccine on the disproportionality analysis using JADER<\/strong><\/a>: Yamaoka K, Fujiwara M, Uchida M, Uesawa Y<\/span>, Shimizu T, in vivo<\/em>, 37, 345-356 (2023)<\/td><\/tr>
Impact of drugs and patient characteristics on life expectancy during the induction phase of dialysis<\/strong><\/a>: Nishikiori K<\/span>, Tanaka K, Ozawa T, Uesawa Y<\/span>, Biological and Pharmaceutical Bulletin<\/em>, 46<\/strong>, 19\u201325 (2023)<\/td><\/tr>
\u526f\u4f5c\u7528\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9\u3092\u7528\u3044\u305f\u533b\u85ac\u54c1\u306e\u5b89\u5168\u6027\u8a55\u4fa1 \u7b2c\u56db\u56de\u3000FDA\u533b\u85ac\u54c1\u526f\u4f5c\u7528\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9FAERS\u3092\u7528\u3044\u3066\u6297\u304c\u3093\u85ac\u8a98\u767a\u6027\u597d\u4e2d\u7403\u6e1b\u5c11\u75c7\u306e\u767a\u73fe\u50be\u5411\u3092\u8aad\u307f\u89e3\u304f<\/strong>\uff1a\u5965\u4e2d\u771f\u767d<\/span>\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u533b\u85ac\u54c1\u5b89\u5168\u6027\u5b66\u30019<\/strong>\u3001115-118 (2023)<\/td><\/tr>
\u526f\u4f5c\u7528\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9\u3092\u7528\u3044\u305f\u533b\u85ac\u54c1\u306e\u5b89\u5168\u6027\u8a55\u4fa1 \u7b2c\u4e09\u56de\u3000Weibull\u5206\u5e03\u304b\u3089\u975e\u5b9a\u578b\u5927\u817f\u9aa8\u9aa8\u6298\u3092\u8aad\u307f\u89e3\u304f<\/strong>\uff1a\u9ce5\u6d77\u771f\u4e5f<\/span>\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u533b\u85ac\u54c1\u5b89\u5168\u6027\u5b66\u30019<\/strong>\u300135-37 (2023)<\/td><\/tr>
Computational models that use a quantitative structure\u2013activity relationship approach based on deep learning<\/strong>: Matsuzaka Y<\/span>, Uesawa Y<\/span>, Processes<\/em>, 11<\/strong>, 1296 (2023)  Impact Factor:2.8<\/td><\/tr>
Ensemble learning, Deep learning-based and molecular descriptor-based quantitative structure\u2013activity relationships<\/strong><\/a>: Matsuzaka Y<\/span>, Uesawa Y<\/span>, Molecules<\/em>, 28<\/strong>, 2410 (2023) Impact Factor:4.2<\/td><\/tr>
Analysis of opioid-related adverse events in Japan<\/strong><\/a>: Hirai R<\/span>, Uesawa Y<\/span>, preprint server<\/em>, 202309.0119.v1 (2023)<\/td><\/tr>
Comprehensive study of drug-induced pruritus based on adverse drug reaction report database<\/a><\/strong>: Nakao Y<\/span>, Asada M<\/span>, Uesawa Y<\/span>, preprint server<\/em>, 202308.0935.v1 (2023)<\/td><\/tr>
A Comparative study of tumor-specificity and neurotoxicity between 3-styrylchromones and anticancer drugs<\/strong><\/a>: Abe T, Sakagami H, Amano S, Uota S, Bandow K, Uesawa Y<\/span>, U S, Shibata H, Takemura Y, Kimura Y, Takao K, Sugita Y, Sato A, Tanuma S, Takeshima H, preprint server<\/em>, 202306.0342.v1 (2023)<\/td><\/tr>
Analysis of corticosteroid-induced glaucoma using the Japanese Adverse Drug Event Reporting database<\/strong><\/a>: Kawabe A<\/span>, Uesawa Y<\/span>, preprint server<\/em>, 202305.2131.v1 (2023)<\/td><\/tr><\/tbody><\/table><\/figure>\n<\/div><\/div>\n\n\n\n

2022<\/strong><\/h3>\n\n\n\n
\n
Characterization of immune checkpoint inhibitor-induced myasthenia gravis using the US food and drug administration adverse event reporting system<\/strong><\/a>: Niimura T, Zamami Y, Miyata K, Mikami T, Asada M<\/span>, Fukushima K, Yoshino M, Mitsuboshi S, Okada N, Hamano H, Sakurada T, Matsuoka-Ando R, Aizawa F, Yagi K, Goda M, Chuma M, Koyama T, Izawa-Ishizawa Y, Yanagawa H, Fujino H, Yamanishi Y, Ishizawa K, Journal of Clinical Pharmacology<\/em>, 63<\/strong>, 473-479 (2022) Impact Factor:2.3<\/td><\/tr>
Nuclear receptor and stress response pathways associated with antineoplastic agent-induced diarrhea<\/strong><\/a>: Okunaka M, Kano D, Uesawa Y<\/span>, International Journal of Molecular Sciences<\/em>, 23<\/strong>, 12407 (2022) Impact Factor:4.9<\/td><\/tr>
Novel unsymmetric 3,5-bis(benzylidene)-4-piperidones that display tumor-selective toxicity<\/strong><\/a>: Chhikara A, Roayapalley PK, Sakagami H, Amano S, Satoh K, Uesawa Y<\/span>, Das U, Das S, Borrego EA,  Guerena CD, Hernandez CR, Aguilera RJ, Dimmock JR, Molecules<\/em>, 27<\/strong>, 6718 (2022) Impact Factor:4.6<\/td><\/tr>
Non-recovery of vancomycin-associated nephrotoxicity is related to worsening survival outcomes: Combined retrospective analyses of two real-world databases<\/strong><\/a>: Chuma M, Hamano H, Bando T, Kondo M, Okada N, Izumi Y, Ishida S, Yoshioka T, Asada M<\/span>, Niimura T, Zamami Y, Takechi K, Goda M, Miyata K, Yagi K, Kasamo S, Izawa-Ishizawa Y, Azuma M, Yanagawa H, Tasaki Y, Ishizawa K, Basic and Clinical Pharmacology and Toxicology<\/em>, 131<\/strong>, 525-535 (2022) Impact Factor:3.3<\/td><\/tr>
Comprehensive analysis of adverse events induced by PARP inhibitors using JADER and time to onset<\/strong><\/a>: Yamaoka K, Fujiwara M, Ucihida M, Uesawa Y<\/span>, Muroi N, Shimizu T, LIFE<\/em>, 12<\/strong>, 1355 (2022) Impact Factor:3.4<\/td><\/tr>
Comprehensive analysis of everolimus-induced adverse events using the Japanese real-world database<\/strong><\/a>: Uchida M, Nakano K, Fujiwara M, Uesawa Y<\/span>, Shimizu T, Journal of Clinical Pharmacy and Therapeutics<\/em>, 47, 1173-1180 (2022) Impact Factor:2.0<\/td><\/tr>
Investigation of carbonic anhydrase inhibitory effects and cytotoxicities of pyrazole-based hybrids carrying hydrazone and zinc-binding benzenesulfonamide pharmacophores<\/a><\/strong>: Yamali C, Sakagami H, Satoh K, Bandow K, Uesawa Y<\/span>, Bua S, Angeli A, Supuran CT, Gul HI, Bioorganic Chemistry<\/em>, 127<\/strong>, 1-13 (2022) Impact Factor:4.7<\/td><\/tr>
Trends in reporting embolic and thrombotic events after COVID-19 vaccination: A retrospective, pharmacovigilance study<\/strong><\/a>: Kan Y<\/span>, Asada M<\/span>, Uesawa Y<\/span>,  PLOS ONE,<\/em> 17, e0269268 (2022) Impact Factor:2.6<\/td><\/tr>
Novel QSAR approach for a regression model of clearance that combines DeepSnap-Deep Learning and conventional machine learning<\/strong><\/a>: Mamada H, Nomura Y, Uesawa Y<\/span><\/span>, ACS Omega<\/em>, 7<\/strong>, 17055-17062 (2022) Impact Factor:4.3<\/td><\/tr>
Comprehensive analysis of ixazomib-induced adverse events using the Japanese pharmacovigilance database<\/strong><\/a>: Yamaoka K, Fujiwara M, Uchida M, Uesawa Y<\/span>, Muroi N, Shimizu T, Oncology<\/em>, 100<\/strong>, 413\u2013418 (2022) <\/td><\/tr>
Time to onset of bendamustine-associated skin damage using the spontaneous reporting system<\/strong><\/a>: Kashiwagi M, Shimizu T, Kawai R, Kawashiri T, Uesawa Y<\/span>, Uchida M, Anticancer Research<\/em>, 42<\/strong>, 2737-2741 (2022)<\/td><\/tr>
Association between statin use and daptomycin-related musculoskeletal adverse events: A mixed approach combining a meta-analysis and a disproportionality analysis<\/strong><\/a>: Chuma M, Nakamoto A, Bando T, Niimura T, Kondo Y, Hamano H, Okada N, Asada M<\/span>, Zamami Y, Takechi K, Goda M, Miyata K, Yagi K, Yoshioka T, Izawa-Ishizawa Y, Yanagawa H, Tasaki Y, Ishizawa K, Clinical Infectious Diseases<\/em>, 75<\/strong>, 1416-1422 (2022) Impact Factor:7.3<\/td><\/tr>
Development of in silico prediction models for drug-induced liver malignant tumors based on the activity of molecular initiating events: Biologically interpretable features<\/strong><\/a>: Kurosaki K<\/span>, Uesawa Y<\/span>, Journal of Toxicological Sciences<\/em>, 47<\/strong>, 89-98 (2022)<\/td><\/tr>
Comprehensive analysis of bortezomib-induced adverse events using the Japanese real-world database<\/strong><\/a>: Satoki A, Uchida M, Fujiwara M, Uesawa Y<\/span>, Shimizu T, Oncology<\/em>, 100<\/strong>, 188\u2013193 (2022)<\/td><\/tr>
Tumor-Specificity, Neurotoxicity and possible involvement of the nuclear receptor response pathway of 4,6,8-trimethyl azulene amide derivatives<\/strong><\/a>: Naitoh K, Orihara Y, Sakagami H, Miura T, Satoh K, Amano S, Bandow K, Iijima Y, Kurosaki K<\/span>, Uesawa Y<\/span>, Hashimoto M, Wakabayashi H, International Journal of Molecular Sciences<\/em>, 23<\/strong>, 2601 (2022) Impact Factor:4.9<\/td><\/tr>
A deep learning-based quantitative structure-activity relationship system construct prediction model of agonist and antagonist with high performance<\/strong><\/a>:  Matsuzaka Y, Uesawa Y<\/span>, International Journal of Molecular Sciences<\/em>, 23<\/strong>, 2141 (2022) Impact Factor:4.9<\/td><\/tr>
On blass translation for Le\u015bniewski\u2019s propositional ontology and modal logics<\/strong><\/a>: Inoue T<\/span>, Studia Logica<\/em>,  110<\/strong>, 265-289 (2022)<\/td><\/tr>
Molecular profiling of ginsenoside metabolites to identify estrogen receptor alpha activity<\/strong><\/a>: Kikegawa M<\/span><\/span>, Nakajima A, Yu J, Asai M, Uesawa Y<\/span>, Sone H, Gene<\/em>, 813<\/strong>, 146108 (2022) Impact Factor:2.4<\/td><\/tr>
Inhibition of neurotoxicity \/ Anticancer activity of bortezomib by caffeic acid and chlorogenic acid<\/strong><\/a>: Matsuda R, Sakagami H, Amano S, Iijima Y, Sano M, Uesawa Y<\/span>, Tamura N, Oishi Y, Takeshima H, Anticancer Research<\/em>, 42<\/strong>, 781-790 (2022)<\/td><\/tr>
Analysis of factors associated with hiccups using the FAERS database<\/strong><\/a>: Hosoya R<\/span>, Ishii-Nozawa R, Kurosaki K<\/span>, Uesawa Y<\/span>, Pharmaceuticals<\/em>, 15<\/strong>, 27 (2022) Impact Factor:4.8<\/td><\/tr>
Evaluation of cardiac adverse events associated with carfilzomib using a Japanese real-world database<\/strong><\/a>: Nakao S, Uchida M, Satoki A, Okamoto K, Uesawa Y<\/span>, Shimizu T, Oncology<\/em>, 100, 60\u201364 (2022)<\/td><\/tr>
Construction of a prediction model for drug removal rate in hemodialysis based on chemical structures<\/strong><\/a>: Nishikiori K<\/span>, Tanaka K, Uesawa Y<\/span>, Molecular Diversity<\/em>, 26<\/strong>, 2647\u20132657 (2022) Impact Factor:3.8<\/td><\/tr>
In silico \u6709\u5bb3\u6027\u4e88\u6e2c\u30e2\u30c7\u30eb\u306e\u69cb\u7bc9\uff1a\u4eba\u5de5\u77e5\u80fd\u306b\u57fa\u3065\u304f\u8aac\u660e\u6027\u91cd\u8996\u306e\u4e88\u6e2c\u30e2\u30c7\u30eb\u958b\u767a<\/strong><\/a>\uff1a\u690d\u6ca2\u82b3\u5e83<\/span>, CHEMISTRY & CHEMICAL INDUSTRY<\/em>, 75<\/strong>, 197-199 (2022)<\/td><\/tr>
\u526f\u4f5c\u7528\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9\u3092\u7528\u3044\u305f\u533b\u85ac\u54c1\u306e\u5b89\u5168\u6027\u8a55\u4fa1 \u7b2c\u4e8c\u56de\u3000\u533b\u85ac\u54c1\u526f\u4f5c\u7528\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9JADER\u3092\u7528\u3044\u3066\u85ac\u5264\u6027\u5403\u9006\uff08\u3057\u3083\u3063\u304f\u308a\uff09\u3092\u8aad\u307f\u89e3\u304f<\/strong>\uff1a\u7d30\u8c37\u9f8d\u4e00\u90ce<\/span>\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u533b\u85ac\u54c1\u5b89\u5168\u6027\u5b66\u3001<\/em>8<\/strong>\u3001155-157 (2022)<\/td><\/tr>
\u526f\u4f5c\u7528\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9\u3092\u7528\u3044\u305f\u533b\u85ac\u54c1\u306e\u5b89\u5168\u6027\u8a55\u4fa1 \u7b2c\u4e00\u56de \u65e5\u672c\u306e\u526f\u4f5c\u7528\u75c7\u4f8b\u3092\u7db2\u7f85\u3059\u308bPMDA\u533b\u85ac\u54c1\u526f\u4f5c\u7528\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9JADER<\/strong>\uff1a\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u533b\u85ac\u54c1\u5b89\u5168\u6027\u5b66<\/em>\u30018<\/strong>\u300157-60 (2022)<\/td><\/tr><\/tbody><\/table><\/figure>\n<\/div><\/div>\n\n\n\n

2021<\/strong><\/h3>\n\n\n\n
\n
Exploring the mechanisms underlying drug-induced fractures using the Japanese adverse drug event reporting database<\/strong><\/a>: Toriumi S<\/span>, Kobayashi A, Sueki H, Yamamoto M, Uesawa Y<\/span>, Pharmaceuticals<\/em>, 14<\/strong>, 1299 (2021)  Impact Factor:4.3<\/td><\/tr>
A sound interpretation of Le\u015bniewski\u2019s epsilon in modal logic KTB<\/strong><\/a>: Inoue T<\/span>, Bulletin of the Section of Logic<\/em> , 50<\/strong>, 455-463 (2021) <\/td><\/tr>
Study of the compatibility of oral magnesium oxide preparations sold in Japan with the ICH-Q3D guideline for elemental impurities<\/strong><\/a>: Satoh M, Motokawa K, Uesawa Y<\/span>, Ishikawa Y, Maeda H, Iida K, Tanaka H, Kosugi T, Nishizawa K, Drug Discoveries & Therapeutics, <\/em>15<\/strong>, 227-235 (2021) <\/td><\/tr>
Deep learning-based in vitro detection method for cellular impurities in human cell-processed therapeutic products<\/strong><\/a>: Matsuzaka Y<\/span>, Kusakawa S, Uesawa Y<\/span>, Sato Y, Satoh M, Applied Sciences<\/em>, 11<\/strong>, 9755 (2021) Impact Factor:2.5<\/td><\/tr>
Prediction models for agonists and antagonists of molecular initiation events for toxicity pathways using an improved deep-learning-based quantitative structure\u2013activity relationship system<\/strong><\/a>: Matsuzaka Y<\/span>, Totoki S, Handa K, Shiota T, Kurosaki K<\/span>, Uesawa Y<\/span>, Int. J. Mol. Sci.<\/em>, 22, 10821 (2021) Impact Factor:4.9<\/td><\/tr>
Prediction model of clearance by a novel quantitative structure\u2013activity relationship approach, Combination DeepSnap-Deep learning and conventional machine learning<\/strong><\/a>: Mamada H<\/span>, Nomura Y, Uesawa Y<\/span>, ACS Omega<\/em>, 6<\/strong>, 23570\u201323577 (2021) Impact Factor:3.7<\/td><\/tr>
Comprehensive analysis of chemotherapeutic agents that induce infectious neutropenia<\/a><\/strong>: Okunaka M<\/span>, Kano D, Matsui R, Kawasaki T, Uesawa Y<\/span>, Pharmaceuticals<\/em>, 14<\/strong>, 681 (2021) Impact Factor:4.3<\/td><\/tr>
Molecular initiating events associated with drug-induced liver malignant tumors: An integrated study of the FDA adverse event reporting system and toxicity predictions<\/strong><\/a>: Kurosaki K<\/span>, Uesawa Y<\/span>, Biomolecules<\/em>, 11<\/strong>, 944 (2021) Impact Factor:4.8<\/td><\/tr>
Synthesis and biological evaluation of 3-styrylchromone derivatives as selective monoamine oxidase B inhibitors<\/strong><\/a>: Takao K, Takemura Y, Nagai J<\/span>, Kamauchi H, Hoshi K, Mabashi R, Uesawa Y<\/span>, Sugita Y, Bioorganic & Medicinal Chemistry<\/em>, 42<\/strong>, 116255 (2021) Impact Factor:3.3<\/td><\/tr>
Comprehensive study on potent and selective carbonic anhydrase inhibitors: Synthesis, bioactivities and molecular modelling studies of 4-(3-(2-arylidenehydrazine-1-carbonyl)-5-(thiophen-2-yl)-1H-pyrazole-1-yl) benzenesulfonamides<\/strong><\/a>: Yamali C, Sakagami H, Uesawa Y<\/span>, Kurosaki K<\/span>, Satoh K, Masuda Y, Yokose S, Ece A, Bua S, Angeli A, Supuran CT, Gul HI, European Journal of Medicinal Chemistry<\/em>, 217<\/strong>, 113351 (2021) Impact Factor:6.0<\/td><\/tr>
Evaluation of antibiotic-induced taste and smell disorders using the FDA adverse event reporting system database<\/strong><\/a>: Kan Y<\/span>, Nagai J, Uesawa Y<\/span>, Scientific Reports<\/em>, 11<\/strong>, 9625 (2021) Impact Factor:3.8<\/td><\/tr>
Evaluation of the expression profile of irinotecan-induced diarrhea in patients with colorectal cancer<\/strong><\/a>: Okunaka M, Kano D, Matsui R, Kawasaki T, Uesawa Y<\/span>, Pharmaceuticals<\/em>, 14<\/strong>, 377 (2021) Impact Factor:4.3<\/td><\/tr>
Molecular determinants of the kinetic binding properties of antihistamines at the histamine H1 receptors<\/strong><\/a>: Akimoto H, Uesawa Y<\/span>, Hishinuma S, International Journal of Molecular Sciences<\/em>,  22<\/strong>, 2400 (2021) Impact Factor:4.9<\/td><\/tr>
Predicting blood-to-plasma concentration ratios of drugs from chemical structures and volumes of distribution in humans<\/strong><\/a>: Mamada H<\/span>, Iwamoto K, NomuraY, Uesawa Y<\/span>, Molecular Diversity<\/em>, 25<\/strong>, 1261\u20131270 (2021) Impact Factor:3.9<\/td><\/tr>
Use of 13C-NMR chemical shifts; Application of principal component analysis for categorizing structurally similar methoxyflavones and correlation analysis between chemical shifts and cytotoxicity<\/strong><\/a>: Suzuki R, Uesawa Y<\/span>, Okada Y, Horikawa T, Okabe Y, Aburada Mb Takahashi K, Kinoshita K, Chem. Pharm. Bull.,<\/em> 69<\/strong>, 199\u2013202 (2021)  (Highlighted paper selected by Editor-in-Chief\u306b\u9078\u51fa)<\/td><\/tr>
Pharmacovigilance evaluation of bendamustine-related skin disorders using the Japanese adverse drug event report database <\/strong><\/a>: Uchida M, Kawashiri T, Maegawa N, Takano A, Hosohata K, Uesawa Y<\/span>, Journal of Pharmacy and Pharmaceutical Sciences<\/em>, 24<\/strong>, 16-22 (2021) Impact Factor:2.9<\/td><\/tr>
The risk factors associated with immune checkpoint inhibitor-related pneumonitis<\/strong><\/a>: Asada M<\/span>, Mikami T, Niimura T, Zamami Y, Uesawa Y<\/span>, Chuma M, Ishizawa K, Oncology<\/em>, 99<\/strong>, 256\u2013259 (2021) Impact Factor:2.5<\/td><\/tr>
A molecular image-based novel quantitative structure-activity relationship approach, DeepSnap-Deep learning and machine learning<\/strong><\/a>: Matsuzaka Y<\/span>, Uesawa Y<\/span>, Current Issues in Molecular Biology<\/em>, 42<\/strong>, 455-472 (2021) Impact Factor:2.081<\/td><\/tr><\/tbody><\/table><\/figure>\n<\/div><\/div>\n\n\n\n

2020<\/strong><\/h3>\n\n\n\n
\n
Comprehensive study of risk factors for medication-related osteonecrosis of the jaw based on the Japanese Adverse Drug Event Report database<\/strong><\/a>: Toriumi S<\/span>, Kobayashi A, Uesawa Y<\/span>, Pharmaceuticals<\/em>, 13<\/strong>, 467 (2020) Impact Factor:4.6<\/td><\/tr>
A toxicity prediction tool for potential agonist\/antagonist activities in molecular initiating events based on chemical structures<\/strong><\/a>: Kurosaki K<\/span>, Wu R, Uesawa Y<\/span>, International Journal of Molecular Sciences<\/em>, 21<\/strong>, 7853 (2020) Impact Factor:5.6<\/td><\/tr>
Antitumor effects and Tumor-specificity of Guaiazulene-3-Carboxylate derivatives against oral squamous cell carcinoma In Vitro<\/strong><\/a>: Teratani M, Nakamura S, Sakagami H, Fujise M, Hashimoto M, Okudaira N, Bandow K, Iijima Y, Nagai J<\/span>, Uesawa Y<\/span>, Wakabayashi H, Anticancer Res<\/em>, 40<\/strong>, <\/strong>4885-4894 (2020) Impact Factor:2.0<\/td><\/tr>
Molecular image-based prediction models of nuclear receptor agonists and antagonists by DeepSnap\u2013Deep learning approach with the Tox21 10K library<\/strong><\/a>: Matsuzaka Y<\/span>, Uesawa Y<\/span>, molecules<\/em>,  25<\/strong>, 2764 (2020) Impact Factor:4.6<\/td><\/tr>
Syntheses, Glycosidase inhibitory activities, and QSAR analyses of pericosine E analogs Methoxy-Substituted at C6<\/strong><\/a>: Usami Y, Higuchi M, Mizuki K, Yamamoto M, Kanki M, Nakasone C, Sugimoto Y, Shibano M, Uesawa Y<\/span>, Nagai J<\/span>, Yoneyama H, Harusawa S, Marine Drugs<\/em>, 18<\/strong>, 221 (2020) Impact Factor:5.4<\/td><\/tr>
Prediction model of aryl -hydrocarbon receptor activity by a novel QSAR approach, DeepSnap\u2013Deep Learning<\/strong><\/a>: Matsuzaka Y<\/span>, Hosaka T, Ogaito A, Yoshinari K, Uesawa Y<\/span>, molecules<\/em>, 25<\/strong>, 1317 (2020) Impact Factor:4.6<\/td><\/tr>
DeepSnap-Deep learning approach predicts progesterone receptor antagonist activity with high performance<\/strong><\/a>: Matsuzaka Y<\/span>, Uesawa Y<\/span>, Front. Bioeng. Biotechnol<\/em>, 22<\/strong>, 485 (2020) Impact Factor:5.7<\/td><\/tr>
Further quantitative structure-cytotoxicity relationship analysis of 3-styrylchromones<\/strong><\/a>: Takao K, Hoshi K, Sakagami H, Shi H, Bandow K, Nagai J<\/span>, Uesawa Y<\/span>, Tomomura A, Tomomura M, Sugita Y, Anticancer Res<\/em>, 40<\/strong>, 87-95 (2020) Impact Factor:2.0<\/td><\/tr>
\u816b\u760d\u9078\u629e\u6027\u304c\u9ad8\u304f\u3001\u526f\u4f5c\u7528\u304c\u4f4e\u3044\u65b0\u898f\u30af\u30ed\u30e2\u30f3\u8a98\u5c0e\u4f53\u306e\u958b\u767a<\/strong>\uff1a\u5742\u4e0a\u3000\u5b8f\u3001\u6749\u7530\u7fa9\u662d\u3001\u9ad8\u5c3e\u6d69\u4e00\u3001\u6c38\u4e95\u7d14\u5b50<\/span>\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u98ef\u5cf6\u6d0b\u4ecb\u3001\u4f50\u91ce\u5143\u5f66\u3001New Food Industry<\/em>\u300162<\/strong>\u3001871-881 (2020)<\/td><\/tr>
Development of newly synthesized chromone derivatives with high tumor-specificity against human oral squamous cell carcinoma<\/strong><\/a>: Sugita Y, Takao K, Uesawa Y<\/span>, Nagai J<\/span>, Iijima Y, Sano M, Sakagami H, Medicines<\/em>, 7<\/strong>, 50 (2020)<\/td><\/tr>
\u7d4c\u6e08\u7523\u696d\u7701in silico\u6bd2\u6027\u4e88\u6e2c\u30d7\u30ed\u30b8\u30a7\u30af\u30c8AI-SHIPS\u304a\u3088\u3073\u5206\u5b50\u753b\u50cf\u3092\u7528\u3044\u305fDeepSnap\u6df1\u5c64\u5b66\u7fd2\u6cd5<\/strong>\uff1a\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u677e\u5742\u606d\u6210<\/span>\u3001\u7406\u8ad6\u5316\u5b66\u4f1a\u8a8c\u300c\u30d5\u30ed\u30f3\u30c6\u30a3\u30a2\u300d\u30012<\/strong>\u3001118-126 (2020)<\/td><\/tr>
\u7279\u96c6\uff11 \u3000\u6a5f\u68b0\u5b66\u7fd2\u3092\u6d3b\u7528\u3057\u305f\u5275\u85ac\u306e\u30b9\u30d4\u30fc\u30c9\u5316\u30fb\u52b9\u7387\u5316 \uff5e\u305d\u306e\u5177\u4f53\u4f8b\u30fb\u6700\u65b0\u6280\u8853\u300eAI\u30fb\u6a5f\u68b0\u5b66\u7fd2\u306b\u3088\u308b\u5b89\u5168\u6027\u8a55\u4fa1\u306e\u52b9\u7387\u5316\u30fb\u8fc5\u901f\u5316\u300f<\/strong><\/a>\uff1a\u690d\u6ca2\u82b3\u5e83<\/span>\u3001PHARMSTAGE\u3001<\/em>4<\/strong>\u30011-8 (2020)<\/td><\/tr>
\u5316\u5b66\u69cb\u9020\u304b\u3089\u306e\u6709\u5bb3\u6027\u767a\u73fe\u4e88\u6e2c\uff1a\u4eba\u5de5\u77e5\u80fd\u6280\u8853\u306e\u9069\u7528<\/strong><\/a>\uff1a\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u85ac\u5b66\u96d1\u8a8c\u300140<\/strong>\u3001499-505 (2020)<\/td><\/tr>
\u7814\u7a76\u4f1a\u3078\u3088\u3046\u3053\u305d\uff01\uff08\uff13\uff09\u8a08\u7b97\u6bd2\u6027\u5b66\u7814\u7a76\u4f1a-\u4eba\u985e\u306e\u5b89\u5168\u306a\u672a\u6765\u3092\u76ee\u6307\u3057\u3066<\/a>\uff1a<\/strong>\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u5316\u5b66\u30013<\/strong>\u300152-54 (2020)<\/td><\/tr><\/tbody><\/table><\/figure>\n<\/div><\/div>\n\n\n\n

2019<\/strong><\/h3>\n\n\n\n
\n
Quantitative structure\u2013cytotoxicity relationship of 2-styrylchromones<\/strong><\/a>: Uesawa Y<\/span>, Nagai J<\/span>,  Shi H, Sakagami H, Bandow K, Tomomura A, Tomomura M, Endo S, Takao K, Sugita Y, Anticancer Res<\/em>, 39<\/strong>, 6489-6498 (2019)<\/td><\/tr>
Quantitative structure-cytotoxicity relationship of 2-arylazolylchromones and 2-triazolylchromones<\/strong><\/a>: Nagai J<\/span>, Shi H, Sezaki N, Yoshida N, Bandow K, Uesawa Y<\/span>, Sakagami H, Tomomura M, Tomomura A, Takao K, Sugita Y, Anticancer Res<\/em>, 39<\/strong>, 6479-6488 (2019)<\/td><\/tr>
2-Styrylchromone derivatives as potent and selective monoamine oxidase B inhibitors<\/strong><\/a>: Takao K, Endo S, Nagai J<\/span>, Kamauchi H, Takemura Y, Uesawa Y<\/span>, Sugita Y, Bioorganic Chemistry<\/em>, 92<\/strong>, 103285 (2019)<\/td><\/tr>
Prediction model with high-performance constitutive androstane receptor (CAR) using deepsnap-deep learning approach from the tox21 10K compound library<\/strong><\/a>: Matsuzaka Y<\/span>, Uesawa Y<\/span>, International Journal of Molecular Sciences<\/em>, 20<\/strong>, 4855 (2019)<\/td><\/tr>
A nationwide survey of hospital pharmacist interventions to improve polypharmacy for patients with cancer in palliative care in Japan<\/strong><\/a>: Uchida M, Suzuki S, Sugawara H, Suga Y, Kokubun H, Uesawa Y<\/span>, Nakagawa T, Takase H, J Pharm Health Care Sci<\/em>, 5:14<\/strong>, 1-13 (2019)<\/td><\/tr>
A nationwide survey of community pharmacist contributions to polypharmacy in opioid using and non-using cancer patients in Japan<\/strong><\/a>: Suzuki S, Uchida M, Suga Y, Sugawara H, Kokubun H, Uesawa Y<\/span>, Nakagawa T, Takase H, Biol Pharm Bull<\/em>, 42<\/strong>, 1164-1171 (2019)<\/td><\/tr>
Analyses of respiratory depression associated with opioids in cancer patients based on the Japanese adverse drug event report database<\/strong><\/a>: Sugawara H, Uchida M, Suzuki S, Suga Y, Uesawa Y<\/span>, Nakagawa T, Takase H, Biol Pharm Bull<\/em>, 42<\/strong>, 1185-1191 (2019)<\/td><\/tr>
\u5403\u9006\u306b\u5bfe\u3059\u308b\u67ff\u306e\u30d8\u30bf\u714e\u306e\u6709\u52b9\u6027<\/strong><\/a>\uff1a\u7d30\u8c37\u9f8d\u4e00\u90ce<\/span>\u3001\u77f3\u5742\u7bc4\u5b50\u3001\u6c38\u6751\u967d\u4e00\u90ce\u3001\u91ce\u6fa4\uff08\u77f3\u4e95\uff09\u73b2\u5b50\u3001\u7db2\u91ce\u3000\u731b\u3001\u938c\u7530\u667a\u5e78\u3001\u65e5\u91ce\u6589\u4e00\u3001\u52a0\u8cc0\u8c37\u8087\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u764c\u3068\u5316\u5b66\u7642\u6cd5\u300146<\/strong>\u30011165-1170 (2019)<\/td><\/tr>
Quantitative structure\u2013cytotoxicity relationship of azulene amide derivatives<\/strong><\/a>: Imanari K, Hashimoto M, Wakabayash H, Okudaira N, Bandow K, Nagai J<\/span>, Tomomura M, Tomomura A, Uesawa Y<\/span>, Sakagami H, Anticancer Res<\/em>, 39<\/strong>, 3507-3518 (2019)<\/td><\/tr>
Current status of adverse events related with opioid analgesics in Japan: Assessment based on Japanese adverse drug event report database<\/strong><\/a>: Suga Y, Uchida M, Suzuki S, Sugawarad H, Torigoe K, Futamura A, Uesawa Y<\/span>, Nakagawa T, Takase H, Biol Pharm Bull<\/em>, 42<\/strong>, 801-806 (2019)<\/td><\/tr>
QSAR prediction model to search for compounds with selective cytotoxicity against oral cell cancer<\/strong><\/a>: Nagai J<\/span>, Imamura M<\/span>, Sakagami H, Uesawa Y<\/span>, Medicines<\/em>, 6<\/strong>, 45 (2019)<\/td><\/tr>
Optimization of a deep-learning method based on the classification of images generated by parameterized deep snap, a novel molecular-image-input technique for Quantitative Structure\u2013Activity Relationship (QSAR) analysis<\/strong><\/a>: Matsuzaka Y<\/span>, Uesawa Y<\/span>, Front Bioeng Biotechnol<\/em>, 7<\/strong>, 1-15 (2019)<\/td><\/tr>
\u533b\u85ac\u54c1\u5b89\u5168\u6027\u8a55\u4fa1\u306e\u305f\u3081\u306e\u809d\u6bd2\u6027\u30aa\u30f3\u30c8\u30ed\u30b8\u30fc\u69cb\u7bc9\u3068\u305d\u306e\u5fdc\u7528<\/strong><\/a>\uff1a\u5c71\u7e23\u53cb\u7d00\u3001\u4e94\u5341\u5d50\u82b3\u66a2\u3001\u4e2d\u6d25\u5247\u4e4b\u3001\u5800\u672c\u52dd\u4e45\u3001\u798f\u4e95\u4e00\u5f66\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u5c71\u7530\u3000\u5f18\u3001\u4eba\u5de5\u77e5\u80fd\u5b66\u4f1a\u8ad6\u6587\u8a8c\u300134<\/strong>\u30011-18 (2019)<\/td><\/tr>
Direct-injection electron ionization-mass spectrometry metabolomics method for analyzing blueberry leaf metabolites that inhibit adult T-cell leukemia proliferation<\/strong><\/a>: <\/em>Kai H, Uesawa Y<\/span>, Kunitake H, Morishita K, Okada Y, Matsuno K, Planta Med<\/em>, 85<\/strong>, 81-87 (2019)<\/td><\/tr>
Looking back our recent publications of the tumor-specificity of chromone derivatives<\/strong><\/a>: Sakagami H, Shi H, Nagai J<\/span>, Uesawa Y<\/span>, Takao K, Sugita Y, New Food Industry<\/em>, 61<\/strong>, 11-18 (2019)<\/td><\/tr>
Recent progress of basic studies of natural products and their dental application<\/strong><\/a>: Sakagami H, Watanabe T, Hoshino T, Suda N, Mori K, Yasui T, Yamauchi N, Kashiwagi H, Gomi T, Oizumi T, Nagai J<\/span>, Uesawa Y<\/span>, Takao K, Sugita Y, Medicines<\/em>, 6<\/strong>, 4 (2019)<\/td><\/tr><\/tbody><\/table><\/figure>\n<\/div><\/div>\n\n\n\n

2018<\/strong><\/h3>\n\n\n\n
\n
Quantitative structure-activity relationship analysis using deep learning based on a novel molecular image input technique<\/strong><\/a>: Uesawa Y<\/span>, Bioorg Med Chem Lett<\/em>, 28<\/strong>, 3400-3403 (2018)<\/td><\/tr>
Bananas decrease acetaminophen potency in in vitro assays<\/strong><\/a>: Uesawa Y<\/span>, Tsuji N, PloS One<\/em>, 13<\/strong>, e0205612 (2018)<\/td><\/tr>
Cytotoxicity, apoptosis, and QSAR studies of phenothiazine derived methoxylated chalcones as anticancer drug candidates<\/strong><\/a>: Gul HI, Yamali C, Gunesacar G, Sakagami H, Okudaira N, Uesawa Y<\/span>, Kagaya H, Med Chem Res<\/em>, 27<\/strong>, 2366-2378 (2018)<\/td><\/tr>
Quantitative structure-cytotoxicity relationship of pyrano[4,3-b]chromones<\/strong><\/a>: Nagai J<\/span>, Shi H, Kubota Y, Bandow K, Okudaira N, Uesawa Y<\/span>, Sakagami H, Tomomura M, Tomomura A, Takao K, Sugita Y, Anticancer Res<\/em>, 38<\/strong>, 4449-4457 (2018)<\/td><\/tr>
Quantitative structure-cytotoxicity relationship of 3-(N-cyclicamino)chromone derivatives<\/strong><\/a>: Shi H, Nagai J<\/span>, Sakatsume T, Bandow K, Okudaira N, Uesawa Y<\/span>, Sakagami H, Tomomura M, Tomomura A, Takao K, Sugita Y, Anticancer Res<\/em>, 38<\/strong>, 4459-4467 (2018) <\/td><\/tr>
Quantitative structure\u2013cytotoxicity relationship of 2-(N-cyclicamino)chromone derivatives<\/strong><\/a>: Shi H, Nagai J<\/span>, Sakatsume T, Bandow K, Okudaira N, Sakagami H, Tomomura M, Tomomura A, Uesawa Y<\/span>, Takao K, Sugita Y, Anticancer Res<\/em>, 38<\/strong>, 3897-3906 (2018)<\/td><\/tr>
Quantitative structure-cytotoxicity relationship of furo[2,3-b]chromones<\/strong><\/a>: Uesawa Y<\/span>, Sakagami H, Shi H, Hirose M, Takao K, Sugita Y, Anticancer Res<\/em>, 38<\/strong>, 3283-3290 (2018)<\/td><\/tr>
In vitro anti-tumor activity of azulene amide derivatives<\/strong><\/a>: Wada T, Maruyama R, Irie Y, Hashimoto M, Wakabayashi H, Okudaira N, Uesawa Y<\/span>, Kagaya H, Sakagami H, In Vivo<\/em>, 32<\/strong>, 479-486 (2018)<\/td><\/tr>
3-(E)-Styryl-2H-chromene derivatives as potent and selective monoamine oxidase B inhibitors<\/strong><\/a>: Takao K, Yahagi H, Uesawa Y<\/span>, Sugita Y, Bioorg Chem<\/em>, 77<\/strong>, 436-442 (2018)<\/td><\/tr>
Quantitative structure\u2013cytotoxicity relationship of cinnamic acid phenetyl esters<\/strong><\/a>: Uesawa Y<\/span>, Sakagami H, Okudaira N, Toda K, Takao K, Kagaya H, Sugita Y, Anticancer Res<\/em>, 38<\/strong>, 817-823 (2018)<\/td><\/tr>
Quantitative structure\u2013cytotoxicity relationship of 2-azolylchromones<\/strong><\/a>: Sakagami H, Okudaira N, Uesawa Y<\/span>, Takao K, Kagaya H, Sugita Y, Anticancer Res<\/em>, 38<\/strong>, 763-770 (2018)<\/td><\/tr>
Analysis of physicochemical properties of drugs included in anticholinergic rating scales<\/strong><\/a>: Nagai J<\/span>, Kagaya H, Uesawa Y<\/span>, Chem-Bio Informatics Journal<\/em>, 18<\/strong>, 1-9 (2018)<\/td><\/tr>
\u30c7\u30a3\u30fc\u30d7\u30e9\u30fc\u30cb\u30f3\u30b0\u306b\u5bfe\u3059\u308b\u5206\u5b50\u60c5\u5831\u306e\u65b0\u898f\u5165\u529b\u6cd5\uff1aDeep Snap<\/strong><\/a>\uff1a\u690d\u6ca2\u82b3\u5e83<\/span>\u3001CICSJ Bulletin<\/em>\u300136<\/strong>\u300151-54 (2018)<\/td><\/tr>
\u4eba\u5de5\u77e5\u80fd\u304c\u52a0\u901f\u3059\u308b\u533b\u85ac\u30fb\u5316\u5b66\u54c1\u306e\u5b89\u5168\u6027\u8a55\u4fa1<\/strong>\uff1a\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u5316\u5b66\u5de5\u696d\u300169<\/strong>\u30011-7 (2018)<\/td><\/tr>
\u75bc\u75db\u7de9\u548c\u9818\u57df\u306e\u526f\u4f5c\u7528\u4e88\u6e2c\u306b\u304a\u3051\u308b\u4eba\u5de5\u77e5\u80fd\u306e\u6d3b\u7528<\/strong><\/a>\uff1a\u690d\u6ca2\u82b3\u5e83<\/span>\u3001Pharmstage<\/em>\u300118<\/strong>\u300134-41 (2018)<\/td><\/tr>
\u75bc\u75db\u7de9\u548c\u9818\u57df\u306b\u304a\u3051\u308b\u5927\u898f\u6a21\u533b\u85ac\u54c1\u526f\u4f5c\u7528\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9\u306e\u6d3b\u7528<\/strong><\/a>\uff1a\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u5730\u57df\u30b1\u30a2\u30ea\u30f3\u30b0\u300120<\/strong>\u300194-98 (2018)<\/td><\/tr>
\u5927\u898f\u6a21\u526f\u4f5c\u7528\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9\u3092\u7528\u3044\u305f\u30aa\u30d4\u30aa\u30a4\u30c9\u306e\u526f\u4f5c\u7528\u89e3\u6790<\/strong><\/a>\uff1a\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u5730\u57df\u30b1\u30a2\u30ea\u30f3\u30b0\u300120<\/strong>\u300168-72 (2018)<\/td><\/tr>
\u5927\u898f\u6a21\u526f\u4f5c\u7528\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9\u3068\u8a08\u7b97\u6bd2\u6027\u5b66\u306b\u57fa\u3065\u304f\u526f\u4f5c\u7528\u4e88\u6e2c<\/strong><\/a>\uff1a\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u85ac\u5b66\u96d1\u8a8c\u3001138<\/strong>\u3001185-190 (2018)<\/td><\/tr><\/tbody><\/table><\/figure>\n<\/div><\/div>\n\n\n\n
\u904e\u53bb\u306e\u8ad6\u6587\u306f\u3053\u3061\u3089\uff08\u65e7\u30fb\u81e8\u5e8a\u85ac\u5264\u5b66\u7814\u7a76\u5ba4\uff09<\/span><\/i><\/div><\/a><\/div>\n\n\n\n
<\/div><\/div>\n\n\n\n

\u5b66\u4f1a\u767a\u8868<\/h2>\n\n\n\n
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2026<\/strong><\/h3>\n\n\n\n

\u30101\u3011\u56fd\u5185\u5b66\u4f1a<\/h4>\n\n\n\n
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\u4e00\u822c\u8b1b\u6f14\u30fb\u30dd\u30b9\u30bf\u30fc\u767a\u8868<\/p>\n\n\n\n

    \n
  1. \u30aa\u30d4\u30aa\u30a4\u30c9\u93ae\u75db\u85ac\u9593\u306e\u4f75\u7528\u306b\u304a\u3051\u308b\u30bb\u30ed\u30c8\u30cb\u30f3\u75c7\u5019\u7fa4\u306e\u30ea\u30b9\u30af<\/strong>\uff1a\u7530\u4e2d\u7422\u90fd\u3001\u7d30\u8c37\u9f8d\u4e00\u90ce<\/span>\u3001\u5bfa\u5cf6\u671d\u5b50\u3001\u56fd\u5206\u79c0\u4e5f\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u52a0\u8cc0\u8c37\u8087\u3001\u65e5\u672c\u85ac\u5b66\u4f1a\u7b2c146\u5e74\u30012026\/3\u3001\u5439\u7530<\/li>\n\n\n\n
  2. FAERS\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9\u3068Kolmogorov-Arnold Networks\uff08KAN\uff09\u3092\u7528\u3044\u305f\u6a2a\u7d0b\u7b4b\u878d\u89e3\u75c7\u8a98\u767a\u533b\u85ac\u54c1\u306e\u69cb\u9020\u7684\u7279\u5fb4\u306e\u89e3\u660e\u3068\u4e88\u6e2c\u30e2\u30c7\u30eb\u306e\u69cb\u7bc9<\/strong>\uff1a\u5bae\u539f\u3000\u6e09<\/span>\u3001\u671d\u7530\u745e\u7a42<\/span>\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u65e5\u672c\u85ac\u5b66\u4f1a\u7b2c146\u5e74\u30012026\/3\u3001\u5439\u7530<\/li>\n\n\n\n
  3. FAERS\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9\u306b\u57fa\u3065\u304f\u85ac\u5264\u60f9\u8d77\u6027\u3046\u3064\u75c5\u306b\u95a2\u3059\u308b\u767a\u73fe\u50be\u5411\u306e\u89e3\u6790<\/strong>\uff1a\u5927\u7027\u6953\u5b50<\/span>\u3001\u671d\u7530\u745e\u7a42<\/span>\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u65e5\u672c\u85ac\u5b66\u4f1a\u7b2c146\u5e74\u30012026\/3\u3001\u5439\u7530<\/li>\n\n\n\n
  4. Nrf2\u30a2\u30b4\u30cb\u30b9\u30c8\u4e88\u6e2c\u30e2\u30c7\u30eb\u306e\u69cb\u7bc9\u3068FAERS\u306b\u57fa\u3065\u304f\u76ae\u819a\u6709\u5bb3\u4e8b\u8c61\u89e3\u6790\u3078\u306e\u9069\u7528<\/strong>\uff1a\u6817\u6797\u4f38\u660e<\/span>\u3001\u671d\u7530\u745e\u7a42<\/span>\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u65e5\u672c\u85ac\u5b66\u4f1a\u7b2c146\u5e74\u30012026\/3\u3001\u5439\u7530<\/li>\n\n\n\n
  5. FAERS\u3092\u7528\u3044\u305f\u91cd\u75c7\u76ae\u819a\u526f\u4f5c\u7528\u306b\u95a2\u4e0e\u3059\u308b\u69cb\u9020\u7684\u7279\u5fb4\u306e\u540c\u5b9a<\/strong>\uff1a\u4f4d\u7530\u4f73\u552f\u6597<\/span>\u3001\u671d\u7530\u745e\u7a42<\/span>\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u65e5\u672c\u85ac\u5b66\u4f1a\u7b2c146\u5e74\u30012026\/3\u3001\u5439\u7530<\/li>\n\n\n\n
  6. \u6a5f\u68b0\u5b66\u7fd2\u3092\u7528\u3044\u305f\u8840\u7ba1\u6027\u6d6e\u816b\u3092\u8a98\u767a\u3059\u308b\u533b\u85ac\u54c1\u306e\u4e88\u6e2c\u30e2\u30c7\u30eb\u69cb\u7bc9<\/strong>\uff1a\u76ee\u9ed2\u82b1\u7d14<\/span>\u3001\u671d\u7530\u745e\u7a42<\/span>\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u65e5\u672c\u85ac\u5b66\u4f1a\u7b2c146\u5e74\u30012026\/3\u3001\u5439\u7530<\/li>\n\n\n\n
  7. FAERS\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9\u3092\u7528\u3044\u305f\u6297\u304c\u3093\u85ac\u306b\u3088\u308b\u81ea\u5df1\u514d\u75ab\u75be\u60a3\u8a98\u767a\u30ea\u30b9\u30af\u306e\u7db2\u7f85\u7684\u89e3\u6790<\/strong>\uff1a\u6cb3\u539f\u7531\u5948<\/span>\u3001\u671d\u7530\u745e\u7a42<\/span>\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u65e5\u672c\u85ac\u5b66\u4f1a\u7b2c146\u5e74\u30012026\/3\u3001\u5439\u7530<\/li>\n\n\n\n
  8. FAERS\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9\u3092\u7528\u3044\u305f\u5fc3\u6bd2\u6027\u3092\u8a98\u767a\u3059\u308b\u6297\u304c\u3093\u85ac\u306e\u89e3\u6790<\/strong>\uff1a\u77f3\u7530\u572d\u4f51<\/span>\u3001\u5bae\u6ca2\u4f38\u4ecb\u3001\u671d\u7530\u745e\u7a42<\/span>\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u65e5\u672c\u85ac\u5b66\u4f1a\u7b2c146\u5e74\u30012026\/3\u3001\u5439\u7530<\/li>\n\n\n\n
  9. \u653e\u7dda\u83ccStreptomyces lincolnensis\u306e\u4ee3\u8b1d\u7269\u306e\u5408\u6210\u3068\u751f\u7406\u6d3b\u6027<\/strong>\uff1a\u5bae\u91ce\u3042\u304b\u308a\u3001\u6d45\u91ce\u3000\u60a0\u3001\u7530\u53e3\u5927\u6a39\u3001\u7247\u5c71\u7f8e\u5948\u3001\u671d\u7530\u745e\u7a42<\/span>\u3001\u5c0f\u6797\u611b\u6b69\u3001\u8449\u5c71\u3000\u767b\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u5b87\u4f50\u7f8e\u5409\u82f1\u3001\u65e5\u672c\u85ac\u5b66\u4f1a\u7b2c146\u5e74\u30012026\/3\u3001\u5439\u7530<\/li>\n\n\n\n
  10. \u53d7\u5bb9\u4f53\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9\u3092\u7528\u3044\u305f\u53d7\u5bb9\u4f53\u611f\u53d7\u6027\u4e88\u6e2c\u30e2\u30c7\u30eb\u306e\u69cb\u7bc9\u3001\u304a\u3088\u3073\u526f\u4f5c\u7528\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9\u3068\u306e\u7d71\u5408\u306b\u95a2\u3059\u308b\u691c\u8a0e<\/strong>\uff1a\u6e9d\u53e3\u5b8f\u548c\u3001\u7d30\u8c37\u9f8d\u4e00\u90ce<\/span>\u3001\u5bfa\u5cf6\u671d\u5b50\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u52a0\u8cc0\u8c37\u8087\u3001\u65e5\u672c\u85ac\u5b66\u4f1a\u7b2c146\u5e74\u30012026\/3\u3001\u5439\u7530<\/li>\n\n\n\n
  11. \u6709\u5bb3\u4e8b\u8c61\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9\u3092\u7528\u3044\u305fHER2\u6297\u4f53\u3092\u7528\u3044\u305f\u6297\u4f53\u85ac\u7269\u8907\u5408\u4f53\u306e\u6709\u5bb3\u4e8b\u8c61\u30d7\u30ed\u30d5\u30a1\u30a4\u30eb\u306e\u6bd4\u8f03<\/strong>\uff1a\u7d30\u4e2d\u5b5d\u8f14\u3001\u5c71\u5ca1\u5065\u592a\u3001\u5185\u7530\u307e\u3084\u3053\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u6e05\u6c34\u3000\u5fe0\u3001\u9ad8\u6a4b\u4e00\u6804\u3001\u7b2c23\u56de\u65e5\u672c\u81e8\u5e8a\u816b\u760d\u5b66\u4f1a\u5b66\u8853\u96c6\u4f1a\u30012026\/3\u3001\u6a2a\u6d5c<\/li>\n<\/ol>\n<\/div><\/div>\n<\/div><\/div>\n\n\n\n
    \n

    2025<\/strong><\/h3>\n\n\n\n

    \u30101\u3011\u56fd\u5185\u5b66\u4f1a<\/h4>\n\n\n\n
    \n

    \u4e00\u822c\u8b1b\u6f14\u30fb\u30dd\u30b9\u30bf\u30fc\u767a\u8868<\/p>\n\n\n\n

      \n
    1. \u30af\u30ed\u30e2\u30f3\u8a98\u5c0e\u4f53\u306e\u5375\u5de3\u304c\u3093\u304a\u3088\u3073\u4e73\u304c\u3093\u7d30\u80de\u306b\u5bfe\u3059\u308b\u6297\u816b\u760d\u52b9\u679c\u3068\u30d5\u30a7\u30ed\u30c8\u30fc\u30b7\u30b9\u8a98\u5c0e\u80fd\u306e\u691c\u5b9a<\/strong>\uff1a\u5742\u4e0a\u3000\u5b8f\u3001\u5b89\u66c7\u9ebb\u5948\u3001\u7530\u6751\u548c\u5e83\u3001\u7530\u6cbc\u9756\u4e00\u3001\u5929\u91ce\u3000\u6ecb\u3001\u732a\u4fe3\u3000\u6075\u3001\u690d\u6ca2 \u82b3\u5e83<\/span>\u3001\u6749\u7530\u7fa9\u662d\u3001\u9ad8\u5c3e\u6d69\u4e00\u3001\u98ef\u5cf6\u6d0b\u4ecb\u3001\u4f50\u91ce\u5143\u5f66\u3001\u9b5a\u7530\u3000\u614e\u3001\u7b2c98\u56de\u65e5\u672c\u85ac\u7406\u5b66\u4f1a\u30012025\/3\u3001\u5343\u8449<\/li>\n\n\n\n
    2. \u795e\u7d4c\u81a0\u82bd\u816b\u6cbb\u7642\u85ac\u5019\u88dc\u306e\u63a2\u7d22\u306b\u5411\u3051\u305f\u6a5f\u68b0\u5b66\u7fd2\u306b\u3088\u308bQSAR\u4e88\u6e2c\u30e2\u30c7\u30eb\u306e\u69cb\u7bc9<\/strong>\uff1a\u4e2d\u5c3e\u5468\u5e73\u3001\u4e0a\u901a\u4f91\u6a39\u3001\u4ec1\u6728\u73e0\u512a\u3001\u99ac\u6e15\u7f8e\u96ea\u3001\u9577\u91ce\u79c0\u55e3\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u6e05\u6c34\u3000\u5fe0\u3001\u65e5\u672c\u85ac\u5b66\u4f1a\u7b2c145\u5e74\u30012025\/3\u3001\u798f\u5ca1<\/li>\n\n\n\n
    3. FDA\u6709\u5bb3\u4e8b\u8c61\u5831\u544a\u30b7\u30b9\u30c6\u30e0(FAERS)\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9\u3092\u7528\u3044\u305f\u975e\u30b9\u30c6\u30ed\u30a4\u30c9\u6027\u6297\u708e\u75c7\u85ac\u8a98\u767a\u5598\u606f\u306e\u767a\u75c7\u306b\u95a2\u9023\u3059\u308b\u751f\u5316\u5b66\u7d4c\u8def\u306e\u63a2\u7d22<\/strong>\uff1a\u4f50\u85e4\u514b\u78e8<\/span>\u3001\u6728\u6751\u606d\u8f14<\/span>\u3001\u671d\u7530\u745e\u7a42<\/span>\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u65e5\u672c\u85ac\u5b66\u4f1a\u7b2c145\u5e74\u30012025\/3\u3001\u798f\u5ca1<\/li>\n\n\n\n
    4. FAERS\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9\u3092\u7528\u3044\u305f\u30d7\u30ec\u30b0\u30ca\u30f3X\u53d7\u5bb9\u4f53\u30a2\u30b4\u30cb\u30b9\u30c8\u6d3b\u6027\u95a2\u9023\u526f\u4f5c\u7528\u306e\u89e3\u6790<\/strong>\uff1a\u5c71\u7530\u6c99\u5b63<\/span>\u3001\u6728\u6751\u606d\u8f14<\/span>\u3001\u671d\u7530\u745e\u7a42<\/span>\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u65e5\u672c\u85ac\u5b66\u4f1a\u7b2c145\u5e74\u30012025\/3\u3001\u798f\u5ca1<\/li>\n\n\n\n
    5. FAERS\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9\u3092\u7528\u3044\u305f\u81b5\u81d3\u304c\u3093\u8a98\u767a\u533b\u85ac\u54c1\u306e\u6a5f\u68b0\u5b66\u7fd2\u4e88\u6e2c\u30e2\u30c7\u30eb\u306e\u69cb\u7bc9<\/strong>\uff1a\u4f50\u3005\u6728\u611b\u8389<\/span>\u3001\u6728\u6751\u606d\u8f14<\/span>\u3001\u671d\u7530\u745e\u7a42<\/span>\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u65e5\u672c\u85ac\u5b66\u4f1a\u7b2c145\u5e74\u30012025\/3\u3001\u798f\u5ca1<\/li>\n\n\n\n
    6. FAERS\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9\u3092\u7528\u3044\u305f\u30b9\u30c6\u30ed\u30a4\u30c9\u85ac\u306e\u8840\u6813\u75c7\u8a98\u767a\u306b\u95a2\u9023\u3059\u308b\u6838\u5185\u53d7\u5bb9\u4f53\u306e\u89e3\u6790<\/strong>\uff1a\u6e21\u9089\u5f69\u5973<\/span>\u3001\u6728\u6751\u606d\u8f14<\/span>\u3001\u671d\u7530\u745e\u7a42<\/span>\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u65e5\u672c\u85ac\u5b66\u4f1a\u7b2c145\u5e74\u30012025\/3\u3001\u798f\u5ca1<\/li>\n\n\n\n
    7. FARES\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9\u3092\u7528\u3044\u305f\u85ac\u5264\u30a2\u30ec\u30eb\u30ae\u30fc\u3092\u8a98\u767a\u3059\u308bNSAIDs\u306e\u7db2\u7f85\u7684\u89e3\u6790<\/strong>\uff1a\u7247\u6850\u7f8e\u7fbd<\/span>\u3001\u6728\u6751\u606d\u8f14<\/span>\u3001\u671d\u7530\u745e\u7a42<\/span>\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u65e5\u672c\u85ac\u5b66\u4f1a\u7b2c145\u5e74\u30012025\/3\u3001\u798f\u5ca1<\/li>\n\n\n\n
    8. CFSAN\u6709\u5bb3\u4e8b\u8c61\u5831\u544a\u30b7\u30b9\u30c6\u30e0(CAERS)\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9\u3092\u7528\u3044\u305f\u76ae\u819a\u969c\u5bb3\u306b\u95a2\u9023\u3059\u308b\u5316\u7ca7\u54c1\u306e\u89e3\u6790<\/strong>\uff1a\u82b1\u6fa4\u6210\u8f1d<\/span>\u3001\u6728\u6751\u606d\u8f14<\/span>\u3001\u671d\u7530\u745e\u7a42<\/span>\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u65e5\u672c\u85ac\u5b66\u4f1a\u7b2c145\u5e74\u30012025\/3\u3001\u798f\u5ca1<\/li>\n\n\n\n
    9. FAERS\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9\u3092\u7528\u3044\u305f\u6297\u304c\u3093\u85ac\u306b\u3088\u308b\u6557\u8840\u75c7\u8a98\u767a\u30ea\u30b9\u30af\u306e\u7db2\u7f85\u7684\u89e3\u6790<\/strong>\uff1a\u767d\u6c34\u7d50\u8863<\/span>\u3001\u671d\u7530\u745e\u7a42<\/span>\u3001\u6728\u6751\u606d\u8f14<\/span>\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u65e5\u672c\u85ac\u5b66\u4f1a\u7b2c145\u5e74\u30012025\/3\u3001\u798f\u5ca1<\/li>\n\n\n\n
    10. FAERS\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9\u3092\u7528\u3044\u305f\u85ac\u5264\u6027\u81b5\u708e\u3092\u8a98\u767a\u3059\u308b\u533b\u85ac\u54c1\u306e\u89e3\u6790<\/strong>\uff1a\u5b89\u500d\u5e06\u5948\u7f8e<\/span>\u3001\u671d\u7530\u745e\u7a42<\/span>\u3001\u6728\u6751\u606d\u8f14<\/span>\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u65e5\u672c\u85ac\u5b66\u4f1a\u7b2c145\u5e74\u30012025\/3\u3001\u798f\u5ca1<\/li>\n\n\n\n
    11. FAERS\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9\u3092\u7528\u3044\u305f\u6297\u304c\u3093\u85ac\u306b\u3088\u3063\u3066\u8a98\u767a\u3055\u308c\u308b\u76ae\u819a\u708e\u306b\u95a2\u9023\u3059\u308b\u751f\u5316\u5b66\u7684\u8981\u56e0\u306e\u89e3\u6790<\/strong>\uff1a\u5d8b\u91ce\u7d50\u6708<\/span>\u3001\u6728\u6751\u606d\u8f14<\/span>\u3001\u671d\u7530\u745e\u7a42<\/span>\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u65e5\u672c\u85ac\u5b66\u4f1a\u7b2c145\u5e74\u30012025\/3\u3001\u798f\u5ca1<\/li>\n\n\n\n
    12. FAERS\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9\u3092\u7528\u3044\u305f\u9020\u8840\u969c\u5bb3\u3092\u8a98\u767a\u3059\u308b\u539f\u56e0\u533b\u85ac\u54c1\u306e\u89e3\u6790<\/strong>\uff1a\u52a0\u85e4\u512a\u4e5f<\/span>\u3001\u671d\u7530\u745e\u7a42<\/span>\u3001\u6728\u6751\u606d\u8f14<\/span>\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u65e5\u672c\u85ac\u5b66\u4f1a\u7b2c145\u5e74\u30012025\/3\u3001\u798f\u5ca1<\/li>\n\n\n\n
    13. FAERS\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9\u306b\u57fa\u3065\u304f\u6297\u304c\u3093\u85ac\u306b\u8a98\u767a\u3055\u308c\u308b\u8d64\u8840\u7403\u6e1b\u5c11\u75c7\u306b\u95a2\u9023\u3059\u308b\u751f\u5316\u5b66\u7684\u8981\u56e0\u306e\u89e3\u6790<\/strong>\uff1a\u4e0b\u5ddd\u3000\u831c<\/span>\u3001\u6728\u6751\u606d\u8f14<\/span>\u3001\u671d\u7530\u745e\u7a42<\/span>\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u65e5\u672c\u85ac\u5b66\u4f1a\u7b2c145\u5e74\u30012025\/3\u3001\u798f\u5ca1<\/li>\n\n\n\n
    14. FAERS\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9\u3092\u7528\u3044\u305f\u5fc3\u81d3\u4f1d\u5c0e\u969c\u5bb3\u306e\u767a\u75c7\u306b\u95a2\u308f\u308b\u533b\u85ac\u54c1\u306e\u89e3\u6790<\/strong>\uff1a\u5c71\u672c\u9054\u9999\u5b50<\/span>\u3001\u671d\u7530\u745e\u7a42<\/span>\u3001\u6728\u6751\u606d\u8f14<\/span>\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u65e5\u672c\u85ac\u5b66\u4f1a\u7b2c145\u5e74\u30012025\/3\u3001\u798f\u5ca1<\/li>\n\n\n\n
    15. \u7d30\u83cc\u6027\u9ac4\u819c\u708e\u6cbb\u7642\u85ac\u306e\u9078\u5b9a\u3092\u6307\u5411\u3057\u305f\u8133\u7d44\u7e54\uff0f\u8840\u4e2d\u85ac\u7269\u6fc3\u5ea6\u6bd4\u4e88\u6e2c\u30e2\u30c7\u30eb\u306e\u69cb\u7bc9<\/strong>\uff1a\u5927\u6749\u5353\u4e5f<\/span>\u3001\u5ca9\u4e0b\u60a0\u99ac<\/span>\u3001\u5ca1\u7530\u8ce2\u4e8c<\/span>\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u65e5\u672c\u85ac\u5b66\u4f1a\u7b2c145\u5e74\u30012025\/3\u3001\u798f\u5ca1<\/li>\n\n\n\n
    16. \u30d2\u30c8\u795e\u7d4c\u81a0\u82bd\u816b\u7d30\u80de\u306b\u5bfe\u3059\u308b\u6a5f\u68b0\u5b66\u7fd2\u6d3b\u6027\u4e88\u6e2c\u30e2\u30c7\u30eb\u3092\u7528\u3044\u305fin house\u5316\u5408\u7269\u306e\u6d3b\u6027\u5206\u985e<\/strong>\uff1a\u4e2d\u5c3e\u5468\u5e73\u3001\u4e0a\u901a\u4f91\u6a39\u3001\u5b89\u7530\u8056\u83dc\u3001\u99ac\u6e15\u7f8e\u96ea\u3001\u9577\u91ce\u79c0\u55e3\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u6e05\u6c34\u3000\u5fe0\u3001\u65e5\u672c\u85ac\u5b66\u4f1a\u7b2c145\u5e74\u30012025\/3\u3001\u798f\u5ca1<\/li>\n\n\n\n
    17. \u6a5f\u68b0\u5b66\u7fd2\u306b\u3088\u308b\u9aa8\u8089\u816b\u6cbb\u7642\u85ac\u5019\u88dc\u5316\u5408\u7269\u306e\u63a2\u7d22<\/strong>\uff1a\u4e2d\u5c3e\u5468\u5e73\u3001\u77e2\u5cf6\u68a8\u91cc\u6709\u3001\u4e0a\u901a\u4f91\u6a39\u3001\u99ac\u6df5\u7f8e\u96ea\u3001\u9577\u91ce\u79c0\u55e3\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u6e05\u6c34\u3000\u5fe0\u3001\u65e5\u672c\u85ac\u5b66\u4f1a\u7b2c145\u5e74\u30012025\/3\u3001\u798f\u5ca1<\/li>\n\n\n\n
    18. FDA\u6709\u5bb3\u4e8b\u8c61\u5831\u544a\u30b7\u30b9\u30c6\u30e0\uff08FAERS\uff09\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9\u3092\u7528\u3044\u305f\u75d9\u6523\u3092\u8a98\u767a\u3059\u308b\u6297\u611f\u67d3\u85ac\u306e\u7db2\u7f85\u7684\u89e3\u6790<\/strong>\uff1a\u6a0b\u53e3\u6dbc\u9999\u3001\u5ca1\u7530\u8ce2\u4e8c<\/span>\u3001\u6e21\u8fba\u3000\u57fa\u3001\u4e80\u5366\u5ddd\u771f\u7f8e\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u65e5\u672c\u85ac\u5b66\u4f1a\u7b2c145\u5e74\u30012025\/3\u3001\u798f\u5ca1<\/li>\n\n\n\n
    19. \u533b\u85ac\u54c1\u526f\u4f5c\u7528\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9\u3092\u7528\u3044\u305f\u6297\u30b3\u30ea\u30f3\u85ac\u95a2\u9023\u6709\u5bb3\u4e8b\u8c61\u5831\u544a\u4f8b\u306b\u304a\u3051\u308b\u7dcf\u6297\u30b3\u30ea\u30f3\u85ac\u8ca0\u8377\u306e\u8abf\u67fb<\/strong>\uff1a\u83c5\u3000\u88d5\u4eae<\/span>\u3001\u571f\u4e95\u771f\u559c\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u65e5\u672c\u85ac\u5b66\u4f1a\u7b2c145\u5e74\u30012025\/3\u3001\u798f\u5ca1<\/li>\n\n\n\n
    20. \u5927\u898f\u6a21\u526f\u4f5c\u7528\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9\uff08JADER\uff09\u3092\u7528\u3044\u305f\u30aa\u30d4\u30aa\u30a4\u30c9\u93ae\u75db\u85ac\u304a\u3088\u3073\u30c1\u30ed\u30b7\u30f3\u30ad\u30ca\u30fc\u30bc\u963b\u5bb3\u85ac\u306e\u4f75\u7528\u306b\u4f34\u3046\u4fbf\u79d8<\/strong>\uff1a\u83c5\u3000\u88d5\u4eae<\/span>\u3001\u9bc9\u6cbc\u5353\u771f\u3001\u56fd\u5206\u79c0\u4e5f\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u7b2c18\u56de\u65e5\u672c\u7de9\u548c\u533b\u7642\u85ac\u5b66\u4f1a\u5e74\u4f1a\u30012025\/6\u3001\u5343\u8449<\/li>\n\n\n\n
    21. FDA \u6709\u5bb3\u4e8b\u8c61\u5831\u544a\u30b7\u30b9\u30c6\u30e0(FAERS)\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9\u3092\u7528\u3044\u305f\u975e\u30b9\u30c6\u30ed\u30a4\u30c9\u6027\u6297\u708e\u75c7\u85ac\u306b\u3088\u308a\u8a98\u767a\u3055\u308c\u308b\u6d88\u5316\u7ba1\u969c\u5bb3\u306b\u95a2\u3059\u308b\u7db2\u7f85\u7684\u89e3\u6790<\/strong>\uff1a\u6176\u3000\u5143\u7b95<\/span>\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u7b2c18\u56de\u65e5\u672c\u7de9\u548c\u533b\u7642\u85ac\u5b66\u4f1a\u5e74\u4f1a\u30012025\/6\u3001\u5343\u8449<\/li>\n\n\n\n
    22. FAERS \u3092\u7528\u3044\u305f\u30aa\u30d4\u30aa\u30a4\u30c9-\u30aa\u30d4\u30aa\u30a4\u30c9\u9593\u304a\u3088\u3073\u30aa\u30d4\u30aa\u30a4\u30c9-\u30c1\u30ed\u30b7\u30f3\u30ad\u30ca\u30fc\u30bc\u963b\u5bb3\u85ac\u9593\u306e\u85ac\u7269\u76f8\u4e92\u4f5c\u7528\u306b\u95a2\u3059\u308b\u63a2\u7d22\u7684\u5206\u6790<\/strong>\uff1a\u7d30\u8c37\u9f8d\u4e00\u90ce<\/span>\u3001\u5bfa\u5cf6\u671d\u5b50\u3001\u56fd\u5206\u79c0\u4e5f\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u52a0\u8cc0\u8c37\u8087\u3001\u7b2c18\u56de\u65e5\u672c\u7de9\u548c\u533b\u7642\u85ac\u5b66\u4f1a\u5e74\u4f1a\u30012025\/6\u3001\u5343\u8449<\/li>\n\n\n\n
    23. \u85ac\u5264\u6027\u30d1\u30fc\u30ad\u30f3\u30bd\u30cb\u30ba\u30e0\u767a\u75c7\u671f\u9593\u306b\u95a2\u4e0e\u3059\u308b\u56e0\u5b50\u306e\u63a2\u7d22<\/strong>\uff1a\u5409\u7530\u771f\u5200\u3001\u5927\u5c71\u51dc\u590f<\/span>\u3001\u8d64\u6ca2\u3000\u5b66\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u7b2c9\u56de \u65e5\u672c\u81e8\u5e8a\u85ac\u7406\u5b66\u4f1a \u95a2\u6771\u30fb\u7532\u4fe1\u8d8a\u5730\u65b9\u4f1a\u30012025\/6\u3001\u6e05\u702c<\/li>\n\n\n\n
    24. \u85ac\u5264\u6027\u30d1\u30fc\u30ad\u30f3\u30bd\u30cb\u30ba\u30e0\u306e\u91cd\u7be4\u5316\u306b\u95a2\u9023\u3059\u308b\u56e0\u5b50\u306e\u63a2\u7d22\uff1aJADER \u3092\u7528\u3044\u305f\u6a5f\u68b0\u5b66\u7fd2\u306b\u3088\u308b\u89e3\u6790<\/strong>\uff1a\u5927\u5c71\u51dc\u590f<\/span>\u3001\u5409\u7530\u771f\u5200\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u7b2c9\u56de \u65e5\u672c\u81e8\u5e8a\u85ac\u7406\u5b66\u4f1a \u95a2\u6771\u30fb\u7532\u4fe1\u8d8a\u5730\u65b9\u4f1a\u30012025\/6\u3001\u6e05\u702c<\/li>\n\n\n\n
    25. \u751f\u85ac\u30cb\u30f3\u30b8\u30f3\u4ee3\u8b1d\u7269\u306e ER\u03b1\u30a2\u30b4\u30cb\u30b9\u30c8\u6d3b\u6027\u8a55\u4fa1\u3068\u795e\u7d4c\u4fdd\u8b77\u3078\u306e\u5fdc\u7528<\/strong>\uff1a\u4e80\u5366\u5ddd\u771f\u7f8e<\/span>\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u66fd\u6839\u79c0\u5b50\u3001\u7b2c9\u56de \u65e5\u672c\u81e8\u5e8a\u85ac\u7406\u5b66\u4f1a \u95a2\u6771\u30fb\u7532\u4fe1\u8d8a\u5730\u65b9\u4f1a\u30012025\/6\u3001\u6e05\u702c<\/li>\n\n\n\n
    26. \u533b\u85ac\u54c1\u526f\u4f5c\u7528\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9\u3092\u7528\u3044\u305f\u6297\u30b3\u30ea\u30f3\u85ac\u95a2\u9023\u6709\u5bb3\u4e8b\u8c61\u5831\u544a\u4f8b\u306b\u304a\u3051\u308b\u7dcf\u6297\u30b3\u30ea\u30f3\u85ac\u8ca0\u8377\u306e\u8abf\u67fb<\/strong>\uff1a\u83c5\u3000\u88d5\u4eae<\/span>\u3001\u571f\u4e95\u771f\u559c\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u7b2c9\u56de\u65e5\u672c\u8001\u5e74\u85ac\u5b66\u4f1a\u5b66\u8853\u5927\u4f1a\u30012025\/6\u3001\u5343\u8449<\/li>\n\n\n\n
    27. FAERS\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9\u3092\u7528\u3044\u305f\u6297\u611f\u67d3\u85ac\u306b\u3088\u308b\u75d9\u6523\u8a98\u767a\u30ea\u30b9\u30af\u306e\u7db2\u7f85\u7684\u89e3\u6790<\/strong>\uff1a\u5ca1\u7530\u8ce2\u4e8c<\/span>\u3001\u6a0b\u53e3\u6dbc\u9999\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u7b2c28\u56de\u65e5\u672c\u5730\u57df\u85ac\u5c40\u85ac\u5b66\u4f1a\u5e74\u4f1a\u30012025\/7\u3001\u679a\u65b9<\/li>\n\n\n\n
    28. \u533b\u85ac\u54c1\u526f\u4f5c\u7528\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9\u53ca\u3073\u8a3a\u7642\u9332\u3092\u7528\u3044\u305fBMI\u306b\u3088\u308bEnfortumab Vedotin\u306e\u526f\u4f5c\u7528\u767a\u73fe\u50be\u5411\u8abf\u67fb<\/strong>\uff1a\u6176\u3000\u5143\u7b95<\/span>\u3001\u4f50\u85e4\u6c50\u8389\u3001\u591a\u7530\u8061\u5b50\u3001\u8f5f\u3000\u54b2\u83dc\u3001\u7af9\u8d8a\u53cb\u7d00\u3001\u5c71\u8cc0\u4eae\u7950\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u4f0a\u6771\u4fca\u96c5\u3001\u7b2c11\u56de\u65e5\u672c\u533b\u85ac\u54c1\u5b89\u5168\u6027\u5b66\u4f1a\u5b66\u8853\u5927\u4f1a\u30012025\/8\u3001\u540d\u53e4\u5c4b<\/li>\n\n\n\n
    29. \u85ac\u5264\u6027\u30ae\u30e9\u30f3\u30fb\u30d0\u30ec\u30fc\u75c7\u5019\u7fa4\uff1a\u65e5\u672c\u6709\u5bb3\u4e8b\u8c61\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9\uff08JADER\uff09\u306b\u57fa\u3065\u304f\u767a\u75c7\u6642\u671f\u306e\u691c\u8a0e<\/strong>\uff1a\u9ce5\u6d77\u771f\u4e5f<\/span>\u3001\u5927\u5834\u9ebb\u5e06\u3001\u95a2\u3000\u7f8e\u7fbd\u3001\u9db4\u5ca1\u6cbb\u6717\u3001\u9577\u5c71\u3081\u3050\u307f\u3001\u67f3\u6fa4\u3042\u304d\u7a42\u3001\u9152\u4e95\u4f91\u5e0c\u3001\u5c71\u53e3\u88d5\u5b50\u3001\u5ca1\u7530\u7f8e\u6674\u3001\u6817\u539f\u967d\u4ecb\u3001\u4e0b\u5ddd\u4ea8\u660e\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u7b2c11\u56de\u65e5\u672c\u533b\u85ac\u54c1\u5b89\u5168\u6027\u5b66\u4f1a\u5b66\u8853\u5927\u4f1a\u30012025\/8\u3001\u540d\u53e4\u5c4b<\/li>\n\n\n\n
    30. \u6a5f\u68b0\u5b66\u7fd2\u3092\u7528\u3044\u305f\u30b4\u30ca\u30c9\u30c8\u30ed\u30d4\u30f3\u653e\u51fa\u30db\u30eb\u30e2\u30f3\u53d7\u5bb9\u4f53\u306e\u30a2\u30b4\u30cb\u30b9\u30c8\u6d3b\u6027\u4e88\u6e2c<\/strong>\uff1a\u4e09\u5009\u3000\u552f<\/span>\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u7b2c53\u56de\u69cb\u9020\u6d3b\u6027\u76f8\u95a2\u30b7\u30f3\u30dd\u30b8\u30a6\u30e0\u30012025\/9\u3001\u5927\u962a<\/li>\n\n\n\n
    31. \u6a5f\u68b0\u5b66\u7fd2\u3092\u7528\u3044\u305f\u6d6e\u52d5\u6027\u3081\u307e\u3044\u3092\u8a98\u767a\u3059\u308b\u6297\u304c\u3093\u85ac\u306e\u69cb\u9020\u6d3b\u6027\u76f8\u95a2\u89e3\u6790<\/strong>\uff1a\u4f4d\u7530\u4f73\u552f\u6597<\/span>\u3001\u5ca9\u4e0b\u60a0\u99ac<\/span>\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u7b2c53\u56de\u69cb\u9020\u6d3b\u6027\u76f8\u95a2\u30b7\u30f3\u30dd\u30b8\u30a6\u30e0\u30012025\/9\u3001\u5927\u962a<\/li>\n\n\n\n
    32. \u653e\u7dda\u83cc Streptomyces lincolnensis \u304c\u7523\u751f\u3059\u308b\u30ab\u30eb\u30d0\u7cd6\u578b\u5929\u7136\u7269 lincitol A\u3001B \u306e\u30ad\u30e9\u30eb\u5408\u6210<\/strong>\uff1a\u6d45\u91ce\u3000\u60a0\u3001\u8c37\u5ddd\u5353\u4f38\u3001\u6c38\u4e95\u967d\u5e06\u3001\u82e5\u68ee\u7f8e\u8def\u3001\u5bae\u91ce\u3042\u304b\u308a\u3001\u7530\u53e3\u5927\u6a39\u3001\u671d\u7530\u745e\u7a42<\/span>\u3001\u8449\u5c71\u3000\u767b\u3001\u7c73\u5c71\u5f18\u6a39\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u5b87\u4f50\u7f8e\u5409\u82f1\u3001\u7b2c67\u56de\u5929\u7136\u6709\u6a5f\u5316\u5408\u7269\u8a0e\u8ad6\u4f1a\u30012025\/9\u3001\u4ed9\u53f0<\/li>\n\n\n\n
    33. \u526f\u4f5c\u7528\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9JADER\u306b\u57fa\u3065\u304f\u85ac\u5264\u95a2\u9023\u984e\u9aa8\u58ca\u6b7b\u306e\u767a\u75c7\u72b6\u6cc1\u3068\u5f53\u9662\u306e\u73fe\u72b6<\/strong>\uff1a\u9ce5\u6d77\u771f\u4e5f<\/span>\u3001\u5927\u5834\u9ebb\u5e06\u3001\u95a2\u3000\u7f8e\u7fbd\u3001\u9db4\u5ca1\u6cbb\u6717\u3001\u9577\u5c71\u3081\u3050\u307f\u3001\u67f3\u6fa4\u3042\u304d\u7a42\u3001\u9152\u4e95\u4f91\u5e0c\u3001\u5c71\u53e3\u88d5\u5b50\u3001\u5ca1\u7530\u7f8e\u6674\u3001\u6817\u539f\u967d\u4ecb\u3001\u4e0b\u5ddd\u4ea8\u660e\u3001\u7530\u4e2d\u963f\u5229\u4eba\u3001\u8352\u6728\u898f\u4ec1\u3001\u6cb3\u5408\u3000\u6cbb\u3001\u6749\u6d66\u516b\u5341\u751f\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u7b2c79\u56de\u56fd\u7acb\u75c5\u9662\u7dcf\u5408\u533b\u5b66\u4f1a\u30012025\/11\u3001\u91d1\u6ca2<\/li>\n\n\n\n
    34. \u591a\u767a\u6027\u786c\u5316\u75c7\u306b\u304a\u3051\u308b\u30a6\u30eb\u30bd\u30c7\u30aa\u30ad\u30b7\u30b3\u30fc\u30eb\u9178\u306e\u6cbb\u7642\u52b9\u679c\u306b\u5bfe\u3059\u308b\u80c6\u6c41\u9178\u53d7\u5bb9\u4f53 TGR5\u306e\u95a2\u4e0e<\/strong>\uff1a\u897f\u6a4b\u5f69\u9999\u3001\u8597\u7530\u60a0\u5e73\u3001\u8c37\u7530\u5968\u592a\u3001\u76f8\u6fa4\u98a8\u82b1 \u3001\u516b\u6728\u5065\u592a\u65b0\u6751\u8cb4\u535a\u3001\u671d\u7530\u745e\u7a42<\/span>\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u5408\u7530\u5149\u5bdb\u3001\u77f3\u6fa4\u6709\u7d00\u3001\u5800\u5ddd\u4f0a\u548c\u3001\u5ddd\u7530\u3000\u6566\u3001\u77f3\u6fa4\u5553\u4ecb\u3001\u7b2c64\u56de \u65e5\u672c\u85ac\u5b66\u4f1a\u30fb\u65e5\u672c\u85ac\u5264\u5e2b\u4f1a\u30fb\u65e5\u672c\u75c5\u9662\u85ac\u5264\u5e2b\u4f1a \u4e2d\u56fd\u56db\u56fd\u652f\u90e8\u5b66\u8853\u5927\u4f1a\u30012025\/11\u3001\u5fb3\u5cf6<\/li>\n\n\n\n
    35. \u80c6\u6c41\u9178-\u80c6\u6c41\u9178\u53d7\u5bb9\u4f53\u304c\u591a\u767a\u6027\u786c\u5316\u75c7\u306b\u304a\u3051\u308b\u795e\u7d4c\u75c7\u72b6\u6539\u5584\u3092\u62c5\u3046<\/strong>\uff1a\u76f8\u6fa4\u98a8\u82b1\u3001\u671d\u7530\u745e\u7a42\u3001\u897f\u6a4b\u5f69\u9999\u3001\u8597\u7530\u60a0\u5e73\u3001\u8c37\u7530\u5968\u592a\u3001\u5c0f\u8feb\u82f1\u5c0a\u3001\u898b\u795e\u5c0a\u4fee\u3001\u516b\u6728\u5065\u592a\u3001\u65b0\u6751\u8cb4\u535a\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u5408\u7530\u5149\u5bdb\u3001\u5ddd\u7530\u3000\u656c\u3001\u77f3\u6fa4\u6709\u7d00\u3001\u77f3\u6fa4\u5553\u4ecb\u3001\u7b2c35\u56de\u65e5\u672c\u533b\u7642\u85ac\u5b66\u4f1a\u5e74\u4f1a\u30012025\/11\u3001\u795e\u6238<\/li>\n\n\n\n
    36. \u30cb\u30b3\u30c1\u30f3\u8a98\u767a\u6027\u3057\u3083\u3063\u304f\u308a\u306b\u95a2\u3059\u308b\u7814\u7a76\uff1aFAERS \u3092\u7528\u3044\u305f\u6295\u4e0e\u7d4c\u8def\u5225\u89e3\u6790<\/strong>\uff1a\u7d30\u8c37\u9f8d\u4e00\u90ce<\/span>\u3001\u91ce\u6fa4\uff08\u77f3\u4e95\uff09\u73b2\u5b50\u3001\u5bfa\u5cf6\u671d\u5b50\u3001\u52a0\u8cc0\u8c37\u8087\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u7b2c35\u56de\u65e5\u672c\u533b\u7642\u85ac\u5b66\u4f1a\u5e74\u4f1a\u30012025\/11\u3001\u795e\u6238<\/li>\n<\/ol>\n<\/div><\/div>\n\n\n\n
      <\/div><\/div>\n\n\n\n

      \u30102\u3011\u56fd\u969b\u5b66\u4f1a<\/h4>\n\n\n\n
      \n

      \u4e00\u822c\u8b1b\u6f14\u30fb\u30dd\u30b9\u30bf\u30fc\u767a\u8868<\/p>\n\n\n\n

        \n
      1. Analysis of antineoplastic agent\u2013induced stomatitis using an adverse event database and machine learning<\/strong>: Uesawa Y<\/span>, Kagaya M<\/span>, THE 24th ASIAN CONFERENCE ON CLINICAL PHARMACY, 2025\/7, Indonesia<\/li>\n\n\n\n
      2. Analysis of the antitumor effects of vitamin K on breast cancer based on the FDA Adverse Event Reporting System<\/strong>: Miyazawa Y, Uesawa Y<\/span>, THE 24th ASIAN CONFERENCE ON CLINICAL PHARMACY, 2025\/7, Indonesia<\/li>\n<\/ol>\n<\/div><\/div>\n<\/div><\/div>\n\n\n\n
        \n

        2024<\/strong><\/h3>\n\n\n\n

        \u30101\u3011\u56fd\u5185\u5b66\u4f1a<\/h4>\n\n\n\n
        \n

        \u4e00\u822c\u8b1b\u6f14\u30fb\u30dd\u30b9\u30bf\u30fc\u767a\u8868<\/p>\n\n\n\n

          \n
        1. \u533b\u85ac\u54c1\u526f\u4f5c\u7528\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9JADER\u3092\u7528\u3044\u305f\u75d9\u6523\u3092\u8a98\u767a\u3059\u308b\u6297\u83cc\u85ac\u306e\u89e3\u6790<\/strong>\uff1a\u6e21\u8fba\u3000\u57fa\u3001\u5ca1\u7530\u8ce2\u4e8c\u3001\u5ca9\u4e0b\u96c5\u9686\u3001\u5c0f\u6797\u6d0b\u4ecb\u3001\u5409\u9580\u3000\u5d07\u3001\u5ca1\u3000\u7f8e\u4f73\u5b50\u3001\u5343\u8449\u5eb7\u53f8\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u65e5\u672c\u85ac\u5b66\u4f1a\u7b2c144\u5e74\u4f1a\u30012024\/3\u3001\u6a2a\u6d5c<\/li>\n\n\n\n
        2. \u526f\u4f5c\u7528\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9FAERS\u3092\u7528\u3044\u305f\u7dd1\u5185\u969c\u3092\u8a98\u767a\u3059\u308b\u30b9\u30c6\u30ed\u30a4\u30c9\u533b\u85ac\u54c1\u306e\u7db2\u7f85\u7684\u89e3\u6790<\/strong>\uff1a\u6cb3\u9089\u7dbe\u4e43<\/span>\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u65e5\u672c\u85ac\u5b66\u4f1a\u7b2c144\u5e74\u4f1a\u30012024\/3\u3001\u6a2a\u6d5c<\/li>\n\n\n\n
        3. FDA\u6709\u5bb3\u4e8b\u8c61\u5831\u544a\u30b7\u30b9\u30c6\u30e0\uff08FAERS\uff09\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9\u3092\u7528\u3044\u305f\u5473\u899a\u304a\u3088\u3073\u55c5\u899a\u969c\u5bb3\u3092\u8a98\u767a\u3059\u308b\u6297\u60aa\u6027\u816b\u760d\u85ac\u306b\u95a2\u3059\u308b\u89e3\u6790<\/strong>\uff1a\u6ff1\u5d0e\u7406\u6c99<\/span>\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u65e5\u672c\u85ac\u5b66\u4f1a\u7b2c144\u5e74\u4f1a\u30012024\/3\u3001\u6a2a\u6d5c<\/li>\n\n\n\n
        4. FAERS\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9\u3092\u7528\u3044\u305f\u6a5f\u68b0\u5b66\u7fd2\u306b\u57fa\u3065\u304fQSAR\u4e88\u6e2c\u306b\u3088\u308b\u30d5\u30a1\u30eb\u30cd\u30bd\u30a4\u30c9X\u53d7\u5bb9\u4f53\u30a2\u30f3\u30bf\u30b4\u30cb\u30b9\u30c8\u6d3b\u6027\u95a2\u9023\u526f\u4f5c\u7528\u306e\u89e3\u6790<\/strong>\uff1a\u76f8\u6fa4\u771f\u7a42<\/span>\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u65e5\u672c\u85ac\u5b66\u4f1a\u7b2c144\u5e74\u4f1a\u30012024\/3\u3001\u6a2a\u6d5c<\/li>\n\n\n\n
        5. FDA\u6709\u5bb3\u4e8b\u8c61\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9\uff08FAERS\uff09\u3092\u7528\u3044\u305f\u30a2\u30ca\u30d5\u30a3\u30e9\u30ad\u30b7\u30fc\u53cd\u5fdc\u8a98\u767a\u533b\u85ac\u54c1\u306e\u6a5f\u68b0\u5b66\u7fd2\u4e88\u6e2c\u30e2\u30c7\u30eb\u306e\u69cb\u7bc9<\/strong>\uff1a\u5c0f\u6fa4\u4e00\u83dc<\/span>\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u65e5\u672c\u85ac\u5b66\u4f1a\u7b2c144\u5e74\u4f1a\u30012024\/3\u3001\u6a2a\u6d5c<\/li>\n\n\n\n
        6. FDA\u6709\u5bb3\u4e8b\u8c61\u5831\u544a\u30b7\u30b9\u30c6\u30e0\uff08FAERS\uff09\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9\u3092\u7528\u3044\u305f\u98df\u6b32\u95a2\u9023\u526f\u4f5c\u7528\u306e\u7db2\u7f85\u7684\u89e3\u6790<\/strong>\uff1a\u6e0b\u8c37\u5e78\u79c0<\/span>\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u65e5\u672c\u85ac\u5b66\u4f1a\u7b2c144\u5e74\u4f1a\u30012024\/3\u3001\u6a2a\u6d5c<\/li>\n\n\n\n
        7. FDA\u6709\u5bb3\u4e8b\u8c61\u81ea\u767a\u5831\u544a\u30b7\u30b9\u30c6\u30e0\uff08FAERS\uff09\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9\u3092\u7528\u3044\u305f\u6297\u60aa\u6027\u816b\u760d\u85ac\u306e\u53e3\u5185\u708e\u767a\u75c7\u306b\u95a2\u9023\u3059\u308b\u751f\u5316\u5b66\u7684\u8981\u56e0\u306e\u89e3\u6790<\/strong>\uff1a\u52a0\u8cc0\u8c37\u840c\u4e43<\/span>\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u65e5\u672c\u85ac\u5b66\u4f1a\u7b2c144\u5e74\u4f1a\u30012024\/3\u3001\u6a2a\u6d5c<\/li>\n\n\n\n
        8. \u526f\u4f5c\u7528\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9FAERS\u3092\u7528\u3044\u305f\u85ac\u5264\u60f9\u8d77\u6027\u3046\u3064\u75c5\u306e\u7db2\u7f85\u7684\u89e3\u6790\u306b\u57fa\u3065\u304f\u8a98\u767a\u85ac\u7269\u4e88\u6e2c\u30e2\u30c7\u30eb\u306e\u69cb\u7bc9<\/strong>\uff1a\u6728\u6751\u745e\u6a39<\/span>\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u65e5\u672c\u85ac\u5b66\u4f1a\u7b2c144\u5e74\u4f1a\u30012024\/3\u3001\u6a2a\u6d5c<\/li>\n\n\n\n
        9. FDA\u6709\u5bb3\u4e8b\u8c61\u81ea\u767a\u5831\u544a\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9(FAERS)\u306b\u57fa\u3065\u304f\u4e73\u304c\u3093\u306b\u5bfe\u3059\u308bVitaminK2\u306e\u6297\u816b\u760d\u52b9\u679c\u306b\u95a2\u3059\u308b\u89e3\u6790<\/strong>\uff1a\u5bae\u6ca2\u4f38\u4ecb\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u65e5\u672c\u85ac\u5b66\u4f1a\u7b2c144\u5e74\u4f1a\u30012024\/3\u3001\u6a2a\u6d5c<\/li>\n\n\n\n
        10. \u526f\u4f5c\u7528\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9\u89e3\u6790\u30d7\u30ed\u30bb\u30b9\u306b\u304a\u3051\u308bChatGPT\u306e\u6d3b\u7528<\/strong>\uff1a\u99d2\u5742\u53cb\u54c9<\/span>\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u65e5\u672c\u85ac\u5b66\u4f1a\u7b2c144\u5e74\u4f1a\u30012024\/3\u3001\u6a2a\u6d5c<\/li>\n\n\n\n
        11. \u5206\u5b50\u753b\u50cf\u8a8d\u8b58\u3068\u5206\u5b50\u8a18\u8ff0\u5b50\u306e\u30a2\u30f3\u30b5\u30f3\u30d6\u30eb\u306b\u3088\u308bAmes\u4e88\u6e2c\u30e2\u30c7\u30eb\u306e\u69cb\u7bc9\u3068\u8a55\u4fa1<\/strong>\uff1a\u5ca9\u4e0b\u60a0\u99ac<\/span>\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u65e5\u672c\u85ac\u5b66\u4f1a\u7b2c144\u5e74\u4f1a\u30012024\/3\u3001\u6a2a\u6d5c<\/li>\n\n\n\n
        12. FDA\u6709\u5bb3\u4e8b\u8c61\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9FAERS\u3092\u7528\u3044\u305f\u5316\u5b66\u69cb\u9020\u306b\u57fa\u3065\u304f\u4e88\u6e2c\u5909\u7570\u539f\u6027\u3068\u95a2\u9023\u526f\u4f5c\u7528\u306e\u89e3\u6790<\/strong>\uff1a\u5b8d\u6238\u822a\u6a39<\/span>\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u65e5\u672c\u85ac\u5b66\u4f1a\u7b2c144\u5e74\u4f1a\u30012024\/3\u3001\u6a2a\u6d5c<\/li>\n\n\n\n
        13. \u6f22\u65b9\u88fd\u5264\u542b\u6709\u751f\u85ac\u306b\u57fa\u3065\u304f\u85ac\u5264\u6027\u809d\u969c\u5bb3\u304a\u3088\u3073\u85ac\u5264\u6027\u9593\u8cea\u6027\u80ba\u75be\u60a3\u306e\u767a\u75c7\u50be\u5411\u306e\u691c\u8a0e\uff1a\u526f\u4f5c\u7528\u81ea\u767a\u5831\u544a\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9JADER\u3092\u7528\u3044\u305f\u7db2\u7f85\u7684\u89e3\u6790<\/strong>\uff1a\u6728\u6751\u606d\u8f14<\/span>\u3001\u4e80\u5366\u5ddd\u771f\u7f8e<\/span>\u3001\u83c5\u3000\u88d5\u4eae<\/span>\u3001\u690d\u6ca2 \u82b3\u5e83<\/span>\u3001\u65e5\u672c\u85ac\u5b66\u4f1a\u7b2c144\u5e74\u4f1a\u30012024\/3\u3001\u6a2a\u6d5c<\/li>\n\n\n\n
        14. FDA\u6709\u5bb3\u4e8b\u8c61\u5831\u544a\u30b7\u30b9\u30c6\u30e0\uff08FAERS\uff09\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9\u306b\u57fa\u3065\u304f\u6c17\u80f8\u8a98\u767a\u306b\u95a2\u9023\u3059\u308b\u6297\u60aa\u6027\u816b\u760d\u85ac\u306e\u7db2\u7f85\u7684\u89e3\u6790<\/strong>\uff1a\u6728\u5185\u3000\u8ad2<\/span>\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u65e5\u672c\u85ac\u5b66\u4f1a\u7b2c144\u5e74\u4f1a\u30012024\/3\u3001\u6a2a\u6d5c<\/li>\n\n\n\n
        15. \u6297\u60aa\u6027\u816b\u760d\u85ac\u306b\u95a2\u9023\u3057\u305f\u6d99\u5668\u969c\u5bb3\u306e\u5b89\u5168\u6027\u60c5\u5831\u306e\u63a2\u7d22\uff1a\u533b\u85ac\u54c1\u526f\u4f5c\u7528\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9\u3092\u7528\u3044\u305f\u4e0d\u5747\u8861\u5206\u6790<\/strong>\uff1a\u83c5\u3000\u88d5\u4eae<\/span>\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u65e5\u672c\u85ac\u5b66\u4f1a\u7b2c144\u5e74\u4f1a\u30012024\/3\u3001\u6a2a\u6d5c<\/li>\n\n\n\n
        16. \u5c0f\u5150\u533b\u7642\u60c5\u5831\u53ce\u96c6\u30b7\u30b9\u30c6\u30e0\u3092\u7528\u3044\u305f\u5c0f\u5150\u79d1\u9818\u57df\u306b\u304a\u3051\u308b\u6297\u83cc\u85ac\u306e\u6cbb\u7642\u85ac\u7269\u30e2\u30cb\u30bf\u30ea\u30f3\u30b0\u306b\u95a2\u3059\u308b\u5b9f\u614b\u8abf\u67fb<\/strong>\uff1a\u5ca1\u7530\u8ce2\u4e8c\u3001\u4e2d\u91ce\u5b5d\u4ecb\u3001\u51fa\u53e3\u5c1a\u5b50\u3001\u4e09\u4e95\u8aa0\u4e8c\u3001\u4e2d\u570b\u6b63\u7965\u3001\u5e84\u53f8\u5065\u4ecb\u3001\u5c0f\u6797\u4fe1\u4e8c\u3001\u5c0f\u6797\u6d0b\u4ecb\u3001\u5409\u9580\u3000\u5d07\u3001\u5ca1\u3000\u7f8e\u4f73\u5b50\u3001\u5343\u8449\u5eb7\u53f8\u3001\u671d\u7530\u745e\u7a42<\/span>\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u65e5\u672c\u85ac\u5b66\u4f1a\u7b2c144\u5e74\u4f1a\u30012024\/3\u3001\u6a2a\u6d5c<\/li>\n\n\n\n
        17. DART-MS\u30e1\u30bf\u30dc\u30ed\u30df\u30af\u30b9\u3092\u7528\u3044\u305f\u30c0\u30a4\u30aa\u30a6\u306e\u85ac\u7406\u6d3b\u6027\u306e\u4e88\u6e2c\u30e2\u30c7\u30eb<\/strong>\uff1a\u7532\u6590\u4e45\u535a\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u68ee\u4e0b\u548c\u5e83\u3001\u65e5\u672c\u85ac\u5b66\u4f1a\u7b2c144\u5e74\u4f1a\u30012024\/3\u3001\u6a2a\u6d5c<\/li>\n\n\n\n
        18. \u85ac\u5264\u6027\u5403\u9006\uff08\u3057\u3083\u3063\u304f\u308a\uff09\u3068\u95a2\u9023\u3059\u308b\u6838\u5185\u53d7\u5bb9\u4f53\u306e\u691c\u8a0e<\/strong>\uff1a\u7d30\u8c37\u9f8d\u4e00\u90ce<\/span>\u3001\u5bfa\u5cf6\u671d\u5b50\u3001\u91ce\u6fa4\uff08\u77f3\u4e95\uff09\u73b2\u5b50\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u52a0\u8cc0\u8c37\u8087\u3001\u7b2c17\u56de\u65e5\u672c\u7de9\u548c\u533b\u7642\u85ac\u5b66\u4f1a\u5e74\u4f1a\u30012024\/5\u3001\u6771\u4eac<\/li>\n\n\n\n
        19. \u7b4b\u96fb\u56f3\u691c\u77e5\u578b\u7b4b\u5f1b\u7de9\u30e2\u30cb\u30bf\u30fc\u3067\u6e2c\u5b9a\u3055\u308c\u305fTOF(train of four)\u30ab\u30a6\u30f3\u30c8\u5b9f\u6e2c\u5024\u3068PK\/PD\u30e2\u30c7\u30eb\u306b\u3088\u308a\u4e88\u6e2c\u3055\u308c\u305f\u30ed\u30af\u30ed\u30cb\u30a6\u30e0\u52b9\u679c\u90e8\u4f4d\u6fc3\u5ea6\u306e\u95a2\u4fc2\u306e\u691c\u8a0e:\u5f8c\u65b9\u8996\u7684\u7814\u7a76<\/strong>\uff1a\u91d1\u68ee\u3000\u7738\u3001\u671d\u7530\u745e\u7a42<\/span>\u3001\u8fd1\u85e4\u4f38\u4e16\u3001\u4ed9\u982d\u4f73\u8d77\u3001\u5185\u7530\u7be4\u6cbb\u90ce\u3001\u65e5\u672c\u9ebb\u9154\u79d1\u5b66\u4f1a\u7b2c71\u56de\u5b66\u8853\u96c6\u4f1a\u30012024\/6\u3001\u795e\u6238<\/li>\n\n\n\n
        20. \u7acb\u4f53\u5206\u5b50\u69cb\u9020\u306b\u57fa\u3065\u304f\u753b\u50cf\u8a8d\u8b58\u6cd5\u3068\u5206\u5b50\u8a18\u8ff0\u6cd5\u306e\u7d44\u307f\u5408\u308f\u305b\u306b\u3088\u308b\u9ad8\u6027\u80fd Ames \u4e88\u6e2c\u30e2\u30c7\u30eb\u306e\u69cb\u7bc9\u3068\u8a55\u4fa1<\/strong>\uff1a\u5ca9\u4e0b\u60a0\u99ac<\/span>\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u7b2c51\u56de\u65e5\u672c\u6bd2\u6027\u5b66\u4f1a\u5b66\u8853\u5e74\u4f1a \u30012024\/7\u3001\u798f\u5ca1<\/li>\n\n\n\n
        21. \u500b\u5225\u75c7\u4f8b\u5b89\u5168\u6027\u5831\u544a\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9VigiBase \u306b\u57fa\u3065\u304f\u533b\u85ac\u54c1\u306e\u767a\u751f\u6bd2\u6027\u306b\u95a2\u3059\u308b\u7db2\u7f85\u7684\u63a8\u5b9a<\/strong>\uff1a\u99d2\u5742\u53cb\u54c9<\/span>\u3001\u6728\u6751\u606d\u8f14<\/span>\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u7b2c51\u56de\u65e5\u672c\u6bd2\u6027\u5b66\u4f1a\u5b66\u8853\u5e74\u4f1a \u30012024\/7\u3001\u798f\u5ca1<\/li>\n\n\n\n
        22. \u6709\u5bb3\u4e8b\u8c61\u81ea\u767a\u5831\u544a\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9\uff08JADER\uff09\u3092\u7528\u3044\u305f\u5e2f\u72b6\u75b1\u75b9\u8a98\u767a\u533b\u85ac\u54c1\u306e\u691c\u8a3c<\/strong>\uff1a\u5b97\u4f50\u535a\u5b50<\/span>\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u5c0f\u6749\u4e09\u5f25\u5b50\u3001\u4f50\u6a4b\u5e78\u5b50\u3001\u533b\u7642\u85ac\u5b66\u30d5\u30a9\u30fc\u30e9\u30e02024\u30012024\/7\u3001\u718a\u672c<\/li>\n\n\n\n
        23. \u5927\u898f\u6a21\u526f\u4f5c\u7528\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9\u3092\u7528\u3044\u305f\u6297\u60aa\u6027\u816b\u760d\u85ac\u304c\u8a98\u767a\u3059\u308b\u5473\u899a\u30fb\u55c5\u899a\u969c\u5bb3\u306b\u95a2\u3059\u308b\u7db2\u7f85\u7684\u89e3\u6790<\/strong>\uff1a\u6ff1\u5d0e\u7406\u6c99<\/span>\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u7b2c10\u56de\u65e5\u672c\u533b\u85ac\u54c1\u5b89\u5168\u6027\u5b66\u4f1a\u5b66\u8853\u5927\u4f1a\u30012024\/7\u3001\u65b0\u6f5f<\/li>\n\n\n\n
        24. FDA \u6709\u5bb3\u4e8b\u8c61\u5831\u544a\u30b7\u30b9\u30c6\u30e0\uff08FAERS\uff09\u3092\u7528\u3044\u305f\u6297\u60aa\u6027\u816b\u760d\u85ac\u8a98\u767a\u6027\u53e3\u5185\u708e\u306e\u89e3\u6790<\/strong>\uff1a\u52a0\u8cc0\u8c37\u840c\u4e43<\/span>\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u7b2c10\u56de\u65e5\u672c\u533b\u85ac\u54c1\u5b89\u5168\u6027\u5b66\u4f1a\u5b66\u8853\u5927\u4f1a\u30012024\/7\u3001\u65b0\u6f5f<\/li>\n\n\n\n
        25. \u6709\u5bb3\u4e8b\u8c61\u81ea\u767a\u5831\u544a\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9\uff08JADER\uff09\u3092\u7528\u3044\u305f\u30af\u30ea\u30d7\u30c8\u30b3\u30c3\u30ab\u30b9\u75c7\u8a98\u767a\u533b\u85ac\u54c1\u306e\u63a8\u5b9a<\/strong>\uff1a\u5b97\u4f50\u535a\u5b50<\/span>\u3001\u5c0f\u6749\u4e09\u5f25\u5b50\u3001\u4f50\u6a4b\u5e78\u5b50\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u65e5\u672c\u75c5\u9662\u85ac\u5264\u5e2b\u4f1a\u95a2\u6771\u30d6\u30ed\u30c3\u30af\u7b2c54\u56de\u5b66\u8853\u5927\u4f1a\u30012024\/8\u3001\u3055\u3044\u305f\u307e<\/li>\n\n\n\n
        26. \u526f\u4f5c\u7528\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9VigiBase\u3092\u7528\u3044\u305f\u598a\u5a20\u671f\u306e\u670d\u7528\u306b\u3088\u308a\u80ce\u5150\u306b\u5f71\u97ff\u3092\u4e0e\u3048\u308b\u533b\u85ac\u54c1\u306e\u63a8\u5b9a<\/strong>\uff1a\u99d2\u5742\u53cb\u54c9<\/span>\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u6728\u6751\u606d\u8f14<\/span>\u3001\u7b2c25\u56de\u5fdc\u7528\u85ac\u7406\u30b7\u30f3\u30dd\u30b8\u30a6\u30e0\u30012024\/9\u3001\u6e05\u702c<\/li>\n\n\n\n
        27. \u5206\u5b50\u753b\u50cf\u8a8d\u8b58\u6cd5\u3068\u5206\u5b50\u8a18\u8ff0\u5b50\u6cd5\u306e\u7d44\u307f\u5408\u308f\u305b\u306b\u3088\u308b\u9ad8\u6027\u80fdAmes\u4e88\u6e2c\u30e2\u30c7\u30eb\u306e\u69cb\u7bc9\u3068\u8a55\u4fa1<\/strong>\uff1a\u5ca9\u4e0b\u60a0\u99ac<\/span>\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u7b2c25\u56de\u5fdc\u7528\u85ac\u7406\u30b7\u30f3\u30dd\u30b8\u30a6\u30e0\u30012024\/9\u3001\u6e05\u702c<\/li>\n\n\n\n
        28. \u6bd2\u6027\u4e88\u6e2c\u30e2\u30c7\u30eb\u3092\u7528\u3044\u305f\u526f\u4f5c\u7528\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9FAERS\u306b\u57fa\u3065\u304f\u5909\u7570\u539f\u6027\u95a2\u9023\u526f\u4f5c\u7528\u306e\u89e3\u6790<\/strong>\uff1a\u5b8d\u6238\u822a\u6a39<\/span>\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u7b2c25\u56de\u5fdc\u7528\u85ac\u7406\u30b7\u30f3\u30dd\u30b8\u30a6\u30e0\u30012024\/9\u3001\u6e05\u702c<\/li>\n\n\n\n
        29. \u91d1\u5c5e\u4e0d\u7d14\u7269\u542b\u6709\u91cf\u3092\u6307\u6a19\u306b\u3057\u305f\u9178\u5316\u30de\u30b0\u30cd\u30b7\u30a6\u30e0\u88fd\u5264\u306e\u54c1\u8cea\u306b\u95a2\u3059\u308b\u691c\u8a0e<\/strong>\uff1a\u6751\u4e0a\u8056\u5948\u3001\u9577\u6ff1\u65e5\u5411\u3001\u5c71\u7530\u4e9c\u6d77\u3001\u539f\u3000\u4f73\u82d7\u3001\u98ef\u5cf6\u5065\u5927\u90ce\u3001\u6cc9\u3000\u82b1\u83dc\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u7530\u4e2d\u535a\u4e4b\u3001\u5c0f\u6749\u9686\u7965\u3001\u4f50\u85e4\u5149\u5229\u3001\u7b2c25\u56de\u5fdc\u7528\u85ac\u7406\u30b7\u30f3\u30dd\u30b8\u30a6\u30e0\u30012024\/9\u3001\u6e05\u702c<\/li>\n\n\n\n
        30. FDA\u526f\u4f5c\u7528\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9\u306b\u57fa\u3065\u304f\u85ac\u5264\u95a2\u9023\u984e\u9aa8\u58ca\u6b7b\u306e\u7279\u5fb4\u3068\u5f53\u9662\u3067\u7d4c\u9a13\u3057\u305f\u80ba\u764c\u306e9\u4f8b<\/strong>\uff1a\u9ce5\u6d77\u771f\u4e5f<\/span>\u3001\u5927\u5834\u9ebb\u5e06\u3001\u95a2\u3000\u7f8e\u7fbd\u3001\u9db4\u5ca1\u6cbb\u6717\u3001\u9577\u5c71\u3081\u3050\u307f\u3001\u9152\u4e95\u4f91\u5e0c\u3001\u5c71\u53e3\u88d5\u5b50\u3001\u5ca1\u7530\u7f8e\u6674\u3001\u4e09\u68ee\u7adc\u53f8\u3001\u4e0b\u5ddd\u4ea8\u660e\u3001\u7530\u4e2d\u963f\u5229\u4eba\u3001\u8352\u6728\u898f\u4ec1\u3001\u6749\u6d66\u516b\u5341\u751f\u3001\u6cb3\u5408\u3000\u6cbb\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u7b2c78\u56de\u56fd\u7acb\u75c5\u9662\u7dcf\u5408\u533b\u5b66\u4f1a\u30012024\/10\u3001\u5927\u962a<\/li>\n\n\n\n
        31. Report on participation in the Tox24 challenge:Construction of a high-accuracy QSAR predictive model for transthyretin activity<\/strong>: Iwashita Y<\/span>, Asada M<\/span>, Kimura K<\/span>, Komasaka T<\/span>, Shishido K<\/span>, Uesawa Y<\/span>, CBI\u5b66\u4f1a2024\u5e74\u5927\u4f1a, 2024\/10, \u8239\u5800<\/li>\n\n\n\n
        32. \u65e5\u672c\u306e\u6709\u5bb3\u4e8b\u8c61\u5831\u544a\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9\u3092\u7528\u3044\u305f\u86cb\u767d\u5c3f\u3068\u30cd\u30d5\u30ed\u30fc\u30bc\u75c7\u5019\u7fa4\u306e\u767a\u75c7\u306b\u95a2\u9023\u3059\u308b\u533b\u85ac\u54c1\u306e\u4e0d\u5747\u8861\u5206\u6790<\/strong>\uff1a\u771f\u7802\u3000\u8056\u3001\u5c71\u5ca1\u5065\u592a\u3001\u5185\u7530\u307e\u3084\u3053\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u6e05\u6c34\u3000\u5fe0\u3001\u4f9d\u85e4\u5065\u4e4b\u4ecb\u3001\u7b2c34\u56de\u65e5\u672c\u533b\u7642\u85ac\u5b66\u4f1a\u5e74\u4f1a\u30012024\/11\u3001\u5e55\u5f35<\/li>\n\n\n\n
        33. \u6709\u5bb3\u4e8b\u8c61\u5831\u544a\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9\uff08JADER\uff09\u3092\u7528\u3044\u305f\u6297\u304c\u3093\u85ac\u306b\u3088\u308b\u53e3\u5185\u708e\u306e\u4e0d\u5747\u8861\u5206\u6790<\/strong>\uff1a\u7d30\u4e2d\u5b5d\u8f14\u3001\u5c71\u5ca1\u5065\u592a\u3001\u6c60\u7530\u5948\u592e\u6075\u3001\u5185\u7530\u307e\u3084\u3053\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u6e05\u6c34\u3000\u5fe0\u3001\u9ad8\u6a4b\u4e00\u6804\u3001\u7b2c34\u56de\u65e5\u672c\u533b\u7642\u85ac\u5b66\u4f1a\u5e74\u4f1a\u30012024\/11\u3001\u5e55\u5f35<\/li>\n\n\n\n
        34. \u526f\u4f5c\u7528\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9FAERS\u3092\u7528\u3044\u305f\u85ac\u5264\u95a2\u9023\u984e\u9aa8\u58ca\u6b7b\u306e\u4e88\u6e2c\u306e\u305f\u3081\u306ein silico\u89e3\u6790<\/strong>\uff1a\u9ce5\u6d77\u771f\u4e5f<\/span>\u3001\u5927\u5834\u9ebb\u5e06\u3001\u95a2\u3000\u7f8e\u7fbd\u3001\u9db4\u5ca1\u6cbb\u6717\u3001\u9577\u5c71\u3081\u3050\u307f\u3001\u9152\u4e95\u4f91\u5b63\u3001\u5c71\u53e3\u88d5\u5b50\u3001\u5ca1\u7530\u7f8e\u6674\u3001\u4e09\u68ee\u7adc\u53f8\u3001\u4e0b\u5ddd\u4ea8\u660e\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u7b2c34\u56de\u65e5\u672c\u533b\u7642\u85ac\u5b66\u4f1a\u5e74\u4f1a\u30012024\/11\u3001\u5e55\u5f35<\/li>\n\n\n\n
        35. \u30c8\u30e9\u30f3\u30b9\u30b5\u30a4\u30ec\u30c1\u30f3\u6d3b\u6027\u4e88\u6e2c\u30b3\u30f3\u30da\u30c6\u30a3\u30b7\u30e7\u30f3\u300cTox24 Challenge\u300d\u306e\u53c2\u52a0\u5831\u544a<\/strong>\uff1a\u5ca9\u4e0b\u60a0\u99ac<\/span>\u3001\u6728\u6751\u606d\u8f14<\/span>\u3001\u99d2\u5742\u53cb\u54c9<\/span>\u3001\u5b8d\u6238\u822a\u6a39<\/span>\u3001\u671d\u7530\u745e\u7a42<\/span>\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u7b2c52\u56de\u69cb\u9020\u6d3b\u6027\u76f8\u95a2\u30b7\u30f3\u30dd\u30b8\u30a6\u30e0\u30012024\/12\u3001\u5ddd\u5d0e<\/li>\n\n\n\n
        36. \u526f\u4f5c\u7528\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9\u304b\u3089\u526f\u4f5c\u7528\u30e1\u30ab\u30cb\u30ba\u30e0\u306e\u63a8\u5b9a\u3078<\/strong>\uff1a\u7d30\u8c37\u9f8d\u4e00\u90ce<\/span>\u3001\u7de9\u548c\u533b\u7642\u85ac\u5b66\u4f1a2024\u5e74\u5ea6\u7b2c2\u56de\u81e8\u5e8a\u7814\u7a76\u30bb\u30df\u30ca\u30fc\uff08Web\u958b\u50ac\uff09\u30012024\/12<\/li>\n<\/ol>\n<\/div><\/div>\n\n\n\n
          <\/div><\/div>\n\n\n\n

          \u30102\u3011\u56fd\u969b\u5b66\u4f1a<\/h4>\n\n\n\n
          \n

          \u4e00\u822c\u8b1b\u6f14\u30fb\u30dd\u30b9\u30bf\u30fc\u767a\u8868<\/p>\n\n\n\n

            \n
          1. Construction of prediction models for clearance by combining molecular images and molecular descriptors<\/strong>: Mamada H, Ueaswa Y<\/span>, 24th EuroQSAR, 2024\/9, Spain<\/li>\n<\/ol>\n<\/div><\/div>\n<\/div><\/div>\n\n\n\n
            \n

            2023<\/strong><\/h3>\n\n\n\n

            \u30101\u3011\u56fd\u5185\u5b66\u4f1a<\/h4>\n\n\n\n
            \n

            \u4e00\u822c\u8b1b\u6f14\u30fb\u30dd\u30b9\u30bf\u30fc\u767a\u8868<\/p>\n\n\n\n

              \n
            1. \u65e5\u672c\u306e\u6709\u5bb3\u4e8b\u8c61\u81ea\u767a\u5831\u544a\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9\uff08JADER\uff09\u3092\u7528\u3044\u305fCDK4\/6\u963b\u5bb3\u5264\uff08\u30d1\u30eb\u30dc\u30b7\u30af\u30ea\u30d6\u30fb\u30a2\u30d9\u30de\u30b7\u30af\u30ea\u30d6\uff09\u306e\u95a2\u4e0e\u304c\u7591\u308f\u308c\u308b\u6709\u5bb3\u4e8b\u8c61\u306e\u89e3\u6790<\/strong>\uff1a\u85e4\u539f\u6b63\u898f\u3001\u6c60\u672b\u88d5\u660e\u3001\u5185\u7530\u307e\u3084\u3053\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u6e05\u6c34\u3000\u5fe0\u3001\u5ba4\u4e95\u5ef6\u4e4b\u3001\u7b2c12\u56de \u65e5\u672c\u85ac\u5264\u5e2b\u30ec\u30b8\u30c7\u30f3\u30c8\u30d5\u30a9\u30fc\u30e9\u30e0\u30012023\/3\u3001\u5439\u7530<\/li>\n\n\n\n
            2. \u5869\u7d20\u4ee5\u5916\u306e\u30cf\u30ed\u30b2\u30f3\u3092\u542b\u3080\u30da\u30ea\u30b3\u30b7\u30f3E\u985e\u7e01\u4f53\u306e\u5408\u6210\u3078\u306e\u8a66\u307f<\/strong>\uff1a\u5bae\u672c\u4eac\u9999\u3001\u65b0\u5b50\u7d17\u77e2\u3001\u91ce\u6751\u6709\u4f50\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u8449\u5c71\u3000\u767b\u3001\u7c73\u5c71\u5f18\u6a39\u3001\u5b87\u4f50\u7f8e\u5409\u82f1\u3001\u65e5\u672c\u85ac\u5b66\u4f1a\u7b2c143\u5e74\u4f1a\u30012023\/3\u3001\u672d\u5e4c<\/li>\n\n\n\n
            3. \u533b\u85ac\u54c1\u526f\u4f5c\u7528\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9\u3092\u7528\u3044\u305f\u7d4c\u53e3\u533b\u85ac\u54c1\u306b\u3088\u308b\u6025\u6027\u814e\u969c\u5bb3\u306e\u5b89\u5168\u6027\u60c5\u5831\u306e\u63a2\u7d22<\/strong>\uff1a\u83c5\u3000\u88d5\u4eae<\/span>\u3001\u8239\u6728\u7766\u672b\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u65e5\u672c\u85ac\u5b66\u4f1a\u7b2c143\u5e74\u4f1a\u30012023\/3\u3001\u672d\u5e4c<\/li>\n\n\n\n
            4. \u6a5f\u68b0\u5b66\u7fd2\u3092\u7528\u3044\u305fQSAR\u4e88\u6e2c\u30e2\u30c7\u30eb\u306b\u57fa\u3065\u304f\u53e3\u8154\u6241\u5e73\u4e0a\u76ae\u764c\u7531\u6765\u7d30\u80de\u306b\u5bfe\u3059\u308b\u9078\u629e\u7684\u6bd2\u6027\u306b\u95a2\u9023\u3059\u308b\u5316\u5b66\u69cb\u9020\u306e\u63a2\u7d22<\/strong>\uff1a\u4f0a\u85e4\u5e83\u8cb4<\/span>\u3001\u5de5\u85e4\u672a\u7a7a<\/span>\u3001\u9ed2\ufa11\u5b8f\u592a<\/span>\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u5742\u4e0a\u3000\u5b8f\u3001\u65e5\u672c\u85ac\u5b66\u4f1a\u7b2c143\u5e74\u4f1a\u30012023\/3\u3001\u672d\u5e4c<\/li>\n\n\n\n
            5. \u6709\u5bb3\u4e8b\u8c61\u81ea\u767a\u5831\u544a\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9FAERS\u3092\u7528\u3044\u305f\u30a2\u30ca\u30d5\u30a3\u30e9\u30ad\u30b7\u30fc\u3092\u8a98\u767a\u3059\u308b\u6297\u83cc\u85ac\u306e\u89e3\u6790<\/strong>\uff1a\u5c0f\u68ee\u5343\u98af<\/span>\u3001\u671d\u7530\u745e\u7a42<\/span>\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u65e5\u672c\u85ac\u5b66\u4f1a\u7b2c143\u5e74\u4f1a\u30012023\/3\u3001\u672d\u5e4c<\/li>\n\n\n\n
            6. \u6709\u5bb3\u4e8b\u8c61\u81ea\u767a\u5831\u544a\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9\u3092\u7528\u3044\u305f\u610f\u8b58\u969c\u5bb3\u8a98\u767a\u50be\u5411\u3092\u6709\u3059\u308b\u533b\u85ac\u54c1\u306e\u89e3\u6790<\/strong>\uff1a\u9ad9\u6a4b\u4f51\u5948<\/span>\u3001\u671d\u7530\u745e\u7a42<\/span>\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u65e5\u672c\u85ac\u5b66\u4f1a\u7b2c143\u5e74\u4f1a\u30012023\/3\u3001\u672d\u5e4c<\/li>\n\n\n\n
            7. \u69cb\u6210\u7684\u30a2\u30f3\u30c9\u30ed\u30b9\u30bf\u30f3\u53d7\u5bb9\u4f53\uff08CAR\uff09\u30a2\u30b4\u30cb\u30b9\u30c8\u6d3b\u6027\u306b\u95a2\u9023\u3059\u308b\u526f\u4f5c\u7528\u306e\u7db2\u7f85\u7684\u691c\u8a0e<\/strong>\uff1a\u5ddd\u4e0a\u3000\u6d77<\/span>\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u65e5\u672c\u85ac\u5b66\u4f1a\u7b2c143\u5e74\u4f1a\u30012023\/3\u3001\u672d\u5e4c<\/li>\n\n\n\n
            8. \u526f\u4f5c\u7528\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9FAERS\u306b\u57fa\u3065\u304f\u85ac\u5264\u8a98\u767a\u6027\u80ba\u304c\u3093\u306b\u95a2\u3059\u308b\u767a\u75c7\u8981\u56e0\u306e\u89e3\u6790<\/strong>\uff1a\u8c4a\u7530\u76f4\u8f1d<\/span>\u3001\u9ed2\ufa11\u5b8f\u592a<\/span>\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u65e5\u672c\u85ac\u5b66\u4f1a\u7b2c143\u5e74\u4f1a\u30012023\/3\u3001\u672d\u5e4c<\/li>\n\n\n\n
            9. \u30af\u30ed\u30e2\u30f3\u9aa8\u683c\u3092\u6709\u3059\u308b\u533b\u85ac\u54c1\u306e\u526f\u4f5c\u7528\u8efd\u6e1b\u52b9\u679c\u306e\u7db2\u7f85\u7684\u89e3\u6790\u3000\uff5e\u30c9\u30e9\u30c3\u30b0\u30ea\u30dd\u30b8\u30b7\u30e7\u30cb\u30f3\u30b0\u3092\u5fd7\u5411\u3057\u305f\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9\u7814\u7a76\uff5e<\/strong>\uff1a\u5409\u91ce\u7434\u97f3<\/span>\u3001\u671d\u7530\u745e\u7a42<\/span>\u3001\u5742\u4e0a\u3000\u5b8f\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u65e5\u672c\u85ac\u5b66\u4f1a\u7b2c143\u5e74\u4f1a\u30012023\/3\u3001\u672d\u5e4c<\/li>\n\n\n\n
            10. \u5316\u5b66\u69cb\u9020\u60c5\u5831\u3092\u7528\u3044\u305f\u30d2\u30c8\u53e3\u8154\u6241\u5e73\u4e0a\u76ae\u764c\u7531\u6765\u7d30\u80de\u306b\u5bfe\u3059\u308b\u816b\u760d\u9078\u629e\u6027\u306b\u5bc4\u4e0e\u3059\u308b\u751f\u5316\u5b66\u7684\u8981\u56e0\u306e\u89e3\u6790<\/strong>\uff1a\u5de5\u85e4\u672a\u7a7a<\/span>\u3001\u4f0a\u85e4\u5e83\u8cb4<\/span>\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u5742\u4e0a\u3000\u5b8f\u3001\u65e5\u672c\u85ac\u5b66\u4f1a\u7b2c143\u5e74\u4f1a\u30012023\/3\u3001\u672d\u5e4c<\/li>\n\n\n\n
            11. \u526f\u4f5c\u7528\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9\u3068\u5316\u5b66\u69cb\u9020\u60c5\u5831\u3092\u7528\u3044\u305f\u91cd\u75c7\u76ae\u819a\u526f\u4f5c\u7528\u306e\u767a\u75c7\u6291\u5236\u306b\u5bc4\u4e0e\u3059\u308b\u751f\u5316\u5b66\u7684\u8981\u56e0\u306e\u89e3\u6790<\/strong>\uff1a\u5229\u6839\u5ddd\u7406\u7d17<\/span>\u3001\u671d\u7530\u745e\u7a42<\/span>\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u65e5\u672c\u85ac\u5b66\u4f1a\u7b2c143\u5e74\u4f1a\u30012023\/3\u3001\u672d\u5e4c<\/li>\n\n\n\n
            12. \u30ef\u30af\u30c1\u30f3\u6709\u5bb3\u4e8b\u8c61\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9\u3092\u7528\u3044\u305f\u30d2\u30c8\u30d1\u30d4\u30ed\u30fc\u30de\u30a6\u30a4\u30eb\u30b9\u30ef\u30af\u30c1\u30f3\u306e\u526f\u53cd\u5fdc\u89e3\u6790<\/strong>\uff1a\u5927\u585a\u83dc\u3005\u7f8e<\/span>\u3001\u671d\u7530\u745e\u7a42<\/span>\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u65e5\u672c\u85ac\u5b66\u4f1a\u7b2c143\u5e74\u4f1a\u30012023\/3\u3001\u672d\u5e4c<\/li>\n\n\n\n
            13. \u526f\u4f5c\u7528\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9\u3092\u7528\u3044\u305f\u85ac\u5264\u6027\u767d\u5185\u969c\u306e\u767a\u75c7\u8981\u56e0\u306e\u89e3\u6790<\/strong>\uff1a\u91ce\u53e3\u5948\u685c<\/span>\u3001\u671d\u7530\u745e\u7a42<\/span>\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u65e5\u672c\u85ac\u5b66\u4f1a\u7b2c143\u5e74\u4f1a\u30012023\/3\u3001\u672d\u5e4c<\/li>\n\n\n\n
            14. \u63bb\u75d2\u75c7\u8a98\u767a\u85ac\u306e\u5316\u5b66\u69cb\u9020\u7684\u7279\u5fb4\u306b\u57fa\u3065\u304f\u6a5f\u68b0\u5b66\u7fd2\u4e88\u6e2c\u30e2\u30c7\u30eb\u306e\u69cb\u7bc9\u3068\u8a55\u4fa1<\/strong>\uff1a\u4e2d\u5c3e\u767e\u5408\u5b50<\/span>\u3001\u9ed2\ufa11\u5b8f\u592a<\/span>\u3001\u671d\u7530\u745e\u7a42<\/span>\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u65e5\u672c\u85ac\u5b66\u4f1a\u7b2c143\u5e74\u4f1a\u30012023\/3\u3001\u672d\u5e4c<\/li>\n\n\n\n
            15. \u6709\u5bb3\u4e8b\u8c61\u81ea\u767a\u5831\u544a\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9\u3092\u7528\u3044\u305f\u85ac\u7269\u8a98\u767a\u6027\u80ba\u52d5\u8108\u6027\u80ba\u9ad8\u8840\u5727\u75c7\u306e\u767a\u75c7\u8981\u56e0\u306e\u63a2\u7d22<\/strong>\uff1a\u5948\u826f\u7a42\u91ce\u9999<\/span>\u3001\u671d\u7530\u745e\u7a42<\/span>\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u65e5\u672c\u85ac\u5b66\u4f1a\u7b2c143\u5e74\u4f1a\u30012023\/3\u3001\u672d\u5e4c<\/li>\n\n\n\n
            16. \u533b\u85ac\u54c1\u6709\u5bb3\u4e8b\u8c61\u81ea\u767a\u5831\u544a\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9FAERS\u3092\u7528\u3044\u305f\u30ad\u30b5\u30f3\u30c1\u30f3\u9aa8\u683c\u3092\u6709\u3059\u308b\u533b\u85ac\u54c1\u306b\u304a\u3051\u308b\u526f\u4f5c\u7528\u767a\u73fe\u50be\u5411\u306e\u89e3\u6790<\/strong>\uff1a\u5c0f\u5ddd\u771f\u55e3<\/span>\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u65e5\u672c\u85ac\u5b66\u4f1a\u7b2c143\u5e74\u4f1a\u30012023\/3\u3001\u672d\u5e4c<\/li>\n\n\n\n
            17. \u533b\u85ac\u54c1\u526f\u4f5c\u7528\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9JADER\u3092\u7528\u3044\u305f\u7dd1\u5185\u969c\u3092\u8a98\u767a\u3059\u308b\u533b\u85ac\u54c1\u306e\u89e3\u6790<\/strong>\uff1a\u6cb3\u9089\u7dbe\u4e43<\/span>\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u65e5\u672c\u85ac\u5b66\u4f1a\u7b2c143\u5e74\u4f1a\u30012023\/3\u3001\u672d\u5e4c<\/li>\n\n\n\n
            18. \u5927\u898f\u6a21\u6709\u5bb3\u4e8b\u8c61\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9(FAERS)\u3092\u7528\u3044\u305f\u4e0b\u90e8\u6d88\u5316\u7ba1\u969c\u5bb3\u3092\u8a98\u767a\u3059\u308bNSAIDs\u306e\u89e3\u6790<\/strong>\uff1a\u6307\u7530\u83dc\u3005\u5b50<\/span>\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u65e5\u672c\u85ac\u5b66\u4f1a\u7b2c143\u5e74\u4f1a\u30012023\/3\u3001\u672d\u5e4c<\/li>\n\n\n\n
            19. \u5927\u898f\u6a21\u6709\u5bb3\u4e8b\u8c61\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9FAERS\u3092\u7528\u3044\u305f\u591a\u767a\u6027\u786c\u5316\u75c7\u3092\u6291\u5236\u3059\u308b\u30b9\u30c6\u30ed\u30a4\u30c9\u95a2\u9023\u533b\u85ac\u54c1\u306e\u63a2\u7d22<\/strong>\uff1a\u57dc\u672c\u96bc\u52a9<\/span>\u3001\u671d\u7530\u745e\u7a42<\/span>\u3001\u898b\u795e\u5c0a\u4fee\u3001\u5408\u7530\u5149\u5bdb\u3001\u8597\u7530\u60a0\u5e73\u3001\u9ad8\u6a4b\u5fd7\u9580\u3001\u76f8\u6fa4\u98a8\u82b1\u3001\u65b0\u6751\u8cb4\u535a\u3001\u5ea7\u9593\u5473\u7fa9\u4eba\u3001\u4e2d\u99ac\u771f\u5e78\u3001\u77f3\u6fa4\u5553\u4ecb\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u65e5\u672c\u85ac\u5b66\u4f1a\u7b2c143\u5e74\u4f1a\u30012023\/3\u3001\u672d\u5e4c<\/li>\n\n\n\n
            20. \u7c73\u56fd\u30ef\u30af\u30c1\u30f3\u6709\u5bb3\u4e8b\u8c61\u5831\u544a\u30b7\u30b9\u30c6\u30e0(VAERS)\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9\u3092\u7528\u3044\u305fCOVID-19\u30ef\u30af\u30c1\u30f3\u306e\u526f\u53cd\u5fdc\u767a\u73fe\u50be\u5411\u306e\u89e3\u6790<\/strong>\uff1a\u5c3e\u5f62\u85cd\u7f8e<\/span>\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u65e5\u672c\u85ac\u5b66\u4f1a\u7b2c143\u5e74\u4f1a\u30012023\/3\u3001\u672d\u5e4c<\/li>\n\n\n\n
            21. \u533b\u85ac\u54c1\u526f\u4f5c\u7528\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9\u3092\u7528\u3044\u305f\u30b9\u30c6\u30ed\u30a4\u30c9\u306e\u809d\u969c\u5bb3\u306b\u53ca\u307c\u3059\u5f71\u97ff\u306b\u95a2\u3059\u308b\u751f\u5316\u5b66\u7684\u8981\u56e0\u306e\u89e3\u6790<\/strong>\uff1a\u5cf6\u5ddd\u88d5\u7fbd<\/span>\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u65e5\u672c\u85ac\u5b66\u4f1a\u7b2c143\u5e74\u4f1a\u30012023\/3\u3001\u672d\u5e4c<\/li>\n\n\n\n
            22. \u5927\u898f\u6a21\u6709\u5bb3\u4e8b\u8c61\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9FAERS\u3092\u7528\u3044\u305f\u85ac\u5264\u6027\u6d6e\u816b\u3092\u8a98\u767a\u3059\u308b\u6297\u304c\u3093\u5264\u306e\u89e3\u6790<\/strong>\uff1a\u6edd\u6fa4\u4f73\u8f1d<\/span>\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u65e5\u672c\u85ac\u5b66\u4f1a\u7b2c143\u5e74\u4f1a\u30012023\/3\u3001\u672d\u5e4c<\/li>\n\n\n\n
            23. \u65e5\u672c\u306e\u533b\u85ac\u54c1\u6709\u5bb3\u4e8b\u8c61\u81ea\u767a\u5831\u544a\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9JADER\u3092\u7528\u3044\u305f\u30b9\u30c6\u30ed\u30a4\u30c9\u5916\u7528\u5264\u306e\u526f\u4f5c\u7528\u306e\u767a\u73fe\u50be\u5411\u306e\u89e3\u6790<\/strong>\uff1a\u6b66\u4e95\u6c99\u6a39<\/span>\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u65e5\u672c\u85ac\u5b66\u4f1a\u7b2c143\u5e74\u4f1a\u30012023\/3\u3001\u672d\u5e4c<\/li>\n\n\n\n
            24. \u6709\u5bb3\u4e8b\u8c61\u81ea\u767a\u5831\u544a\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9FAERS\u3092\u7528\u3044\u305f\u533b\u85ac\u54c1\u306e\u85ac\u5264\u6027\u7761\u7720\u969c\u5bb3\u767a\u73fe\u50be\u5411\u306e\u89e3\u6790<\/strong>\uff1a\u539f\u7530\u76f4\u5b63<\/span>\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u65e5\u672c\u85ac\u5b66\u4f1a\u7b2c143\u5e74\u4f1a\u30012023\/3\u3001\u672d\u5e4c<\/li>\n\n\n\n
            25. \u5927\u898f\u6a21\u6709\u5bb3\u4e8b\u8c61\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9FAERS\u3092\u7528\u3044\u305f\u5fc3\u623f\u4e2d\u9694\u6b20\u640d\u75c7\u3092\u6709\u3059\u308b\u4e73\u5150\u306b\u304a\u3051\u308b\u526f\u4f5c\u7528\u767a\u75c7\u50be\u5411\u306e\u89e3\u6790<\/strong>\uff1a\u897f\u8c37\u4e43\u5f69<\/span>\u3001\u77f3\u5ddd\u6d0b\u4e00\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u65e5\u672c\u85ac\u5b66\u4f1a\u7b2c143\u5e74\u4f1a\u30012023\/3\u3001\u672d\u5e4c<\/li>\n\n\n\n
            26. \u53d7\u5bb9\u4f53\u7d50\u5408\u89aa\u548c\u6027\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9BidingDB\u3068\u533b\u85ac\u54c1\u6709\u5bb3\u4e8b\u8c61\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9\u306e\u7d71\u5408\u306b\u95a2\u3059\u308b\u691c\u8a0e<\/strong>\uff1a\u7d30\u8c37\u9f8d\u4e00\u90ce<\/span>\u3001\u91ce\u6fa4\uff08\u77f3\u4e95\uff09\u73b2\u5b50\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u7b2c16\u56de\u7de9\u548c\u533b\u7642\u85ac\u5b66\u4f1a\u5e74\u4f1a\u30012023\/5\u3001\u795e\u6238<\/li>\n\n\n\n
            27. \u526f\u4f5c\u7528\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9\u3092\u7528\u3044\u305f\u7dd1\u5185\u969c\u3092\u8a98\u767a\u3059\u308b\u30b9\u30c6\u30ed\u30a4\u30c9\u306e\u7db2\u7f85\u7684\u89e3\u67904<\/strong>\uff1a\u6cb3\u9089\u7dbe\u4e43<\/span>\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u7b2c6\u56de\u30d5\u30ec\u30c3\u30b7\u30e3\u30fc\u30ba\u30fb\u30ab\u30f3\u30d5\u30a1\u30e9\u30f3\u30b9\u30012023\/6\u3001\u4eac\u7530\u8fba<\/li>\n\n\n\n
            28. \u526f\u4f5c\u7528\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9\u304a\u3088\u3073\u6a5f\u68b0\u5b66\u7fd2\u3092\u7528\u3044\u305f\u63bb\u75d2\u75c7\u8a98\u767a\u85ac\u306b\u304a\u3051\u308b\u69cb\u9020\u7684\u7279\u5fb4\u306e\u89e3\u6790<\/strong>\uff1a\u4e2d\u5c3e\u767e\u5408\u5b50<\/span>\u3001\u9ed2\ufa11\u5b8f\u592a\u3001\u671d\u7530\u745e\u7a42<\/span>\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u7b2c6\u56de\u30d5\u30ec\u30c3\u30b7\u30e3\u30fc\u30ba\u30fb\u30ab\u30f3\u30d5\u30a1\u30e9\u30f3\u30b9\u30012023\/6\u3001\u4eac\u7530\u8fba<\/li>\n\n\n\n
            29. \u30c7\u30a3\u30fc\u30d7\u30e9\u30fc\u30cb\u30f3\u30b0\u3092\u5229\u7528\u3057\u305f\u8853\u4e2d\u306e\u7d4c\u6642\u7684\u306a\u7b4b\u5f1b\u7de9\u6df1\u5ea6\u4e88\u6e2c\u6cd5\u306e\u958b\u767a<\/strong>\uff1a\u671d\u7530\u745e\u7a42<\/span>\u3001\u9577\u8c37\u5ddd\u5d69\u77e9\u3001\u795e\u5c71\u3000\u572d\u3001\u91d1\u68ee\u3000\u7738\u3001\u5c71\u672c\u5bdb\u4eba\u3001\u5185\u7530\u7be4\u6cbb\u90ce\u3001\u65e5\u672c\u9ebb\u9154\u79d1\u5b66\u4f1a\u7b2c70\u56de\u5b66\u8853\u96c6\u30012023\/6\u3001\u795e\u6238<\/li>\n\n\n\n
            30. JADER\u306b\u57fa\u3065\u304f\u975e\u5b9a\u578b\u5927\u817f\u9aa8\u9aa8\u6298\u306e\u5371\u967a\u56e0\u5b50\u3068\u767a\u73fe\u30d1\u30bf\u30fc\u30f3\u306e\u691c\u8a0e<\/strong>\uff1a\u9ce5\u6d77\u771f\u4e5f<\/span>\u3001\u5927\u5834\u9ebb\u5e06\u3001\u9db4\u5ca1\u6cbb\u6717\u3001\u8107\u7530\u5343\u5b9f\u3001\u9152\u4e95\u4f91\u5e0c\u3001\u5c71\u53e3\u88d5\u5b50\u3001\u5ca1\u7530\u7f8e\u6674\u3001\u4e09\u68ee\u7adc\u53f8\u3001\u5742\u672c\u6cbb\u5f66\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u7b2c9\u56de\u65e5\u672c\u533b\u85ac\u54c1\u5b89\u5168\u6027\u5b66\u4f1a\u5b66\u8853\u5927\u4f1a\u30012023\/7\u3001\u6e05\u702c<\/li>\n\n\n\n
            31. \u526f\u4f5c\u7528\u81ea\u767a\u5831\u544a\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9JADER\u3092\u7528\u3044\u305f\u85ac\u5264\u6027\u809d\u969c\u5bb3\u306b\u95a2\u308f\u308b\u6f22\u65b9\u88fd\u5264\u542b\u6709\u751f\u85ac\u306e\u7db2\u7f85\u7684\u8abf\u67fb<\/strong>\uff1a\u6728\u6751\u606d\u8f14<\/span>\u3001\u4e80\u5366\u5ddd\u771f\u7f8e<\/span>\u3001\u83c5\u3000\u88d5\u4eae<\/span>\u3001\u85ac\u4e38\u5b9f\u685c\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u7b2c9\u56de\u65e5\u672c\u533b\u85ac\u54c1\u5b89\u5168\u6027\u5b66\u4f1a\u5b66\u8853\u5927\u4f1a\u30012023\/7\u3001\u6e05\u702c<\/li>\n\n\n\n
            32. \u6297\u304c\u3093\u85ac\u8a98\u767a\u6027\u4e0b\u75e2\u306b\u95a2\u9023\u3059\u308b\u6838\u5185\u53d7\u5bb9\u4f53\u304a\u3088\u3073\u30b9\u30c8\u30ec\u30b9\u5fdc\u7b54\u7d4c\u8def\u306e\u691c\u8a0e<\/strong>\uff1a\u5965\u4e2d\u771f\u767d<\/span>\u3001\u52a0\u7d0d\u5927\u8f14\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u7b2c9\u56de\u65e5\u672c\u533b\u85ac\u54c1\u5b89\u5168\u6027\u5b66\u4f1a\u5b66\u8853\u5927\u4f1a\u30012023\/7\u3001\u6e05\u702c<\/li>\n\n\n\n
            33. \u6709\u5bb3\u4e8b\u8c61\u81ea\u767a\u5831\u544a\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9FAERS\u306b\u57fa\u3065\u304f\u30d7\u30ed\u30c8\u30f3\u30dd\u30f3\u30d7\u963b\u5bb3\u5264\u306e\u85ac\u5264\u9078\u629e\u306b\u95a2\u3059\u308b\u691c\u8a0e<\/strong>\uff1a\u5ca9\u4e0b\u60a0\u99ac<\/span>\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u7b2c9\u56de\u65e5\u672c\u533b\u85ac\u54c1\u5b89\u5168\u6027\u5b66\u4f1a\u5b66\u8853\u5927\u4f1a\u30012023\/7\u3001\u6e05\u702c<\/li>\n\n\n\n
            34. \u53d7\u5bb9\u4f53\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9BindingDB \u306b\u304a\u3051\u308b\u6709\u7528\u6027\u306e\u691c\u8a0e<\/strong>\uff1a\u7d30\u8c37\u9f8d\u4e00\u90ce<\/span>\u3001\u5bfa\u5cf6\u671d\u5b50\u3001\u91ce\u6fa4\uff08\u77f3\u4e95\uff09\u73b2\u5b50\u3001\u52a0\u8cc0\u8c37\u8087\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u7b2c9\u56de\u65e5\u672c\u533b\u85ac\u54c1\u5b89\u5168\u6027\u5b66\u4f1a\u5b66\u8853\u5927\u4f1a\u30012023\/7\u3001\u6e05\u702c<\/li>\n\n\n\n
            35. \u85ac\u5264\u6027\u8131\u6bdb\u75c7\u306b\u5bfe\u3059\u308b\u6297\u60aa\u6027\u816b\u760d\u85ac\u53ca\u3073\u4f75\u7528\u85ac\u306e\u5f71\u97ff\u306b\u95a2\u3059\u308b\u526f\u4f5c\u7528\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9\u89e3\u6790<\/strong>\uff1a\u99d2\u5742\u53cb\u54c9<\/span>\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u7b2c9\u56de\u65e5\u672c\u533b\u85ac\u54c1\u5b89\u5168\u6027\u5b66\u4f1a\u5b66\u8853\u5927\u4f1a\u30012023\/7\u3001\u6e05\u702c<\/li>\n\n\n\n
            36. \u30bb\u30ec\u30b3\u30ad\u30b7\u30d6\u306e\u526f\u4f5c\u7528\u56de\u907f\u5bfe\u7b56\u306b\u304a\u3051\u308b\u5927\u898f\u6a21\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9\u53ef\u8996\u5316\u624b\u6cd5\uff08Volcano Plot\uff09\u306e\u6d3b\u7528<\/strong>\uff1a\u5bae\u6ca2\u4f38\u4ecb\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u7b2c9\u56de\u65e5\u672c\u533b\u85ac\u54c1\u5b89\u5168\u6027\u5b66\u4f1a\u5b66\u8853\u5927\u4f1a\u30012023\/7\u3001\u6e05\u702c<\/li>\n\n\n\n
            37. \u30aa\u30d4\u30aa\u30a4\u30c9\u306b\u8d77\u56e0\u3059\u308b\u85ac\u5264\u6027\u8b6b\u5984\u306e\u767a\u73fe\u50be\u5411\u306b\u95a2\u3059\u308b\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9\u89e3\u6790<\/strong>\uff1a\u5e73\u4e95\u68a8\u7d17\u5b50<\/span>\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u7b2c9\u56de\u65e5\u672c\u533b\u85ac\u54c1\u5b89\u5168\u6027\u5b66\u4f1a\u5b66\u8853\u5927\u4f1a\u30012023\/7\u3001\u6e05\u702c<\/li>\n\n\n\n
            38. \u30c6\u30aa\u30d5\u30a3\u30ea\u30f3\u8133\u75c7\u306e\u767a\u75c7\u5e74\u9f62\u306b\u95a2\u3059\u308b\u526f\u4f5c\u7528\u5831\u544a\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9\u89e3\u6790<\/strong>\uff1a\u5b8d\u6238\u822a\u6a39<\/span>\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u7b2c9\u56de\u65e5\u672c\u533b\u85ac\u54c1\u5b89\u5168\u6027\u5b66\u4f1a\u5b66\u8853\u5927\u4f1a\u30012023\/7\u3001\u6e05\u702c<\/li>\n\n\n\n
            39. \u5b9f\u9a13\u7684\u591a\u767a\u6027\u786c\u5316\u75c7\u30e2\u30c7\u30eb\u30de\u30a6\u30b9\u306b\u5bfe\u3059\u308b\u30a6\u30eb\u30bd\u30c7\u30aa\u30ad\u30b7\u30b3\u30fc\u30eb\u9178\u306e\u6cbb\u7642\u52b9\u679c\u306e\u691c\u8a0e<\/strong>\uff1a\u53cb\u8fd1\u4e03\u6d77\u3001\u76f8\u6fa4\u98a8\u82b1\u3001\u8597\u7530\u60a0\u5e73\u3001\u897f\u6a4b\u5f69\u9999\u3001\u5bae\u5185\u594f\u7a42\u3001\u5408\u7530\u5149\u5bdb\u3001\u516b\u6728\u5065\u592a\u3001\u65b0\u6751\u8cb4\u535a\u3001\u77f3\u6fa4\u6709\u7d00\u3001\u671d\u7530\u745e\u7a42<\/span>\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u77f3\u6fa4\u5553\u4ecb\u3001\u6b21\u4e16\u4ee3\u3092\u62c5\u3046\u82e5\u624b\u306e\u305f\u3081\u306e\u5275\u85ac\u30fb\u533b\u7642\u85ac\u7406\u30b7\u30f3\u30dd\u30b8\u30a6\u30e02023\u30012023\/8\u3001\u5fb3\u5cf6<\/li>\n\n\n\n
            40. \u56fd\u5185\u306e\u533b\u85ac\u54c1\u6709\u5bb3\u4e8b\u8c61\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9\u3092\u7528\u3044\u305f\u03b2blocker \u3068\u5f90\u8108\u3068\u306e\u95a2\u9023\u6027\u306e\u691c\u8a0e<\/strong>\uff1a\u672c\u77f3\u5bdb\u884c\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u6728\u6751\u76f4\u4e5f\u3001\u91ce\u6fa4\uff08\u77f3\u4e95\uff09\u73b2\u5b50\u3001\u65e5\u672c\u75c5\u9662\u85ac\u5264\u5e2b\u4f1a\u95a2\u6771\u30d6\u30ed\u30c3\u30af\u7b2c53\u56de\u5b66\u8853\u5927\u4f1a\u30012023\/8\u3001\u65b0\u6f5f<\/li>\n\n\n\n
            41. DART-MS\u30e1\u30bf\u30dc\u30ed\u30df\u30af\u30b9\u3092\u7528\u3044\u305f\u30c0\u30a4\u30aa\u30a6\u306e\u7a2e\u306e\u9451\u5225<\/strong>\uff1a\u7532\u6590\u4e45\u535a\u3001\u67f4\u7530\u771e\u5b50\u3001\u541b\u585a\u3000\u54b2\u3001\u52a0\u8012\u60a0\u4eba\u3001\u5c71\u672c\u7f8e\u685c\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u65e5\u672c\u751f\u85ac\u5b66\u4f1a\u7b2c69\u56de\u5e74\u4f1a\u30012023\/9\u3001\u4ed9\u53f0<\/li>\n\n\n\n
            42. \u7a2e\u3005\u30d1\u30fc\u30ad\u30f3\u30bd\u30f3\u69d8\u75c7\u72b6\u3068\u8a98\u767a\u533b\u85ac\u54c1\u306b\u95a2\u3059\u308b\u7db2\u7f85\u7684\u89e3\u6790<\/strong>\uff1a\u4e80\u5366\u5ddd\u771f\u7f8e<\/span>\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u7b2c67\u56de\u65e5\u672c\u85ac\u5b66\u4f1a\u95a2\u6771\u652f\u90e8\u5927\u4f1a\u30012023\/9\u3001\u6e05\u702c<\/li>\n\n\n\n
            43. \u526f\u4f5c\u7528\u81ea\u767a\u5831\u544a\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9JADER\u3092\u7528\u3044\u305f\u85ac\u5264\u6027\u9593\u8cea\u6027\u80ba\u75be\u60a3\u306b\u95a2\u308f\u308b\u6f22\u65b9\u88fd\u5264\u542b\u6709\u751f\u85ac\u306e\u7db2\u7f85\u7684\u8abf\u67fb<\/strong>\uff1a\u6728\u6751\u606d\u8f14<\/span>\u3001\u4e80\u5366\u5ddd\u771f\u7f8e<\/span>\u3001\u83c5\u3000\u88d5\u4eae<\/span>\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u7b2c67\u56de\u65e5\u672c\u85ac\u5b66\u4f1a\u95a2\u6771\u652f\u90e8\u5927\u4f1a\u30012023\/9\u3001\u6e05\u702c<\/li>\n\n\n\n
            44. 3-Styrylchromone\u8a98\u5c0e\u4f53\u306e\u816b\u760d\u9078\u629e\u6027\u306b\u5bc4\u4e0e\u3059\u308b\u30a8\u30b9\u30c8\u30ed\u30b2\u30f3\u95a2\u9023\u53d7\u5bb9\u4f53\u306b\u5bfe\u3059\u308b\u30c9\u30c3\u30ad\u30f3\u30b0\u30b7\u30df\u30e5\u30ec\u30fc\u30b7\u30e7\u30f3<\/strong>\uff1a\u5ddd\u702c\u9f8d\u592a\u90ce<\/span>\u3001\u5742\u4e0a\u3000\u5b8f\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u7b2c67\u56de\u65e5\u672c\u85ac\u5b66\u4f1a\u95a2\u6771\u652f\u90e8\u5927\u4f1a\u30012023\/9\u3001\u6e05\u702c<\/li>\n\n\n\n
            45. \u526f\u4f5c\u7528\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9\u306b\u304a\u3051\u308b\u81ea\u899a\u75c7\u72b6\u95a2\u9023\u526f\u4f5c\u7528\u8a9e\u3092\u7528\u3044\u305f\u60a3\u8005\u81ea\u5df1\u30e2\u30cb\u30bf\u30ea\u30f3\u30b0\u306b\u95a2\u3059\u308b\u691c\u8a0e<\/strong>\uff1a\u5bae\u6ca2\u4f38\u4ecb\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u7b2c67\u56de\u65e5\u672c\u85ac\u5b66\u4f1a\u95a2\u6771\u652f\u90e8\u5927\u4f1a\u30012023\/9\u3001\u6e05\u702c<\/li>\n\n\n\n
            46. \u5171\u57f9\u990a\u7d30\u80de\u3092\u7528\u3044\u305f\u7570\u5e38\u7d30\u80de\u306e\u9ad8\u611f\u5ea6\u691c\u51fa\u65b9\u6cd5\u306b\u95a2\u3059\u308b\u691c\u8a0e<\/strong>\uff1a\u4f50\u85e4\u5149\u5229\u3001\u8349\u5ddd\u68ee\u58eb\u3001\u4f50\u85e4\u967d\u6cbb\u3001\u677e\u5742\u606d\u6210<\/span>\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u7b2c24\u56de\u5fdc\u7528\u85ac\u7406\u30b7\u30f3\u30dd\u30b8\u30a6\u30e0\u30012023\/9\u3001\u6a2a\u6d5c<\/li>\n\n\n\n
            47. \u533b\u85ac\u54c1\u526f\u4f5c\u7528\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9\u3092\u7528\u3044\u305f\u30d9\u30f3\u30c0\u30e0\u30b9\u30c1\u30f3\u95a2\u9023\u306e\u76ae\u819a\u969c\u5bb3\u306b\u95a2\u3059\u308b\u8a55\u4fa1<\/strong>\uff1a\u5185\u7530\u307e\u3084\u3053\u3001\u5ddd\u5c3b\u96c4\u5927\u3001\u524d\u5ddd\u5948\u7f8e\u3001\u9ad8\u91ce\u3000\u78a7\u3001\u7d30\u7551\u572d\u5b50\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u7b2c85\u56de\u65e5\u672c\u8840\u6db2\u5b66\u4f1a\u5b66\u8853\u96c6\u4f1a\u30012023\/10\u3001\u6771\u4eac<\/li>\n\n\n\n
            48. In silico\u30d1\u30b9\u30a6\u30a7\u30a4\u89e3\u6790\u306b\u3088\u308a\u63a8\u5b9a\u3055\u308c\u305f3-\u30b9\u30c1\u30ea\u30eb\u30af\u30ed\u30e2\u30f3\u8a98\u5c0e\u4f53\u306e\u816b\u760d\u9078\u629e\u6027\u3068\u30a8\u30b9\u30c8\u30ed\u30b2\u30f3\u95a2\u9023\u53d7\u5bb9\u4f53\u306e\u963b\u5bb3\u306e\u76f8\u95a2<\/strong>\uff1a\u5742\u4e0a\u3000\u5b8f\u3001\u7530\u6cbc\u9756\u4e00\u3001\u5929\u91ce\u3000\u6ecb\u3001\u9b5a\u7530\u3000\u614e\u3001\u732a\u4fe3\u3000\u6075\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u9ad8\u5c3e\u6d69\u4e00\u3001\u6749\u7530\u7fa9\u662d\u3001\u7b2c149\u56de\u65e5\u672c\u85ac\u7406\u5b66\u4f1a\u95a2\u6771\u90e8\u4f1a\u30012023\/10\u3001\u6771\u4eac<\/li>\n\n\n\n
            49. \u5927\u898f\u6a21\u526f\u4f5c\u7528\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9\u3092\u7528\u3044\u305f\u6297\u304c\u3093\u85ac\u8a98\u767a\u6027\u4e0d\u6574\u8108\u306e\u767a\u73fe\u50be\u5411\u306b\u95a2\u3059\u308b\u7814\u7a76<\/strong>\uff1a\u6e21\u90e8\u771f\u7531\u3001\u5965\u4e2d\u771f\u767d<\/span>\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u52a0\u7d0d\u5927\u8f14\u3001\u5ddd\u6f84\u8ce2\u53f8\u3001\u6e0b\u8c37\u60a0\u771f\u3001\u5ddd\ufa11\u654f\u514b\u3001\u7b2c33\u56de\u65e5\u672c\u533b\u7642\u85ac\u5b66\u4f1a\u5e74\u4f1a\u30012023\/11\u3001\u4ed9\u53f0<\/li>\n\n\n\n
            50. \u85ac\u5264\u8a98\u767a\u6027\u5403\u9006\u3068\u30c9\u30d1\u30df\u30f3D2\u53d7\u5bb9\u4f53\u306e\u95a2\u4fc2<\/strong>\uff1a\u7d30\u8c37\u9f8d\u4e00\u90ce<\/span>\u3001\u5bfa\u5cf6\u671d\u5b50\u3001\u91ce\u6fa4\uff08\u77f3\u4e95\uff09\u73b2\u5b50\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u52a0\u8cc0\u8c37\u8087\u3001\u7b2c33\u56de\u65e5\u672c\u533b\u7642\u85ac\u5b66\u4f1a\u5e74\u4f1a\u30012023\/11\u3001\u4ed9\u53f0<\/li>\n\n\n\n
            51. \u5927\u898f\u6a21\u526f\u4f5c\u7528\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9\u3092\u7528\u3044\u305f\u6297\u304c\u3093\u85ac\u8a98\u767a\u6027\u4e0b\u75e2\u306e\u767a\u73fe\u306b\u95a2\u4e0e\u3059\u308b\u6838\u5185\u53d7\u5bb9\u4f53\u30fb\u30b9\u30c8\u30ec\u30b9\u5fdc\u7b54\u7d4c\u8def\u306e\u4e88\u6e2c<\/strong>\uff1a\u5965\u4e2d\u771f\u767d<\/span>\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u52a0\u7d0d\u5927\u8f14\u3001\u5ddd\ufa11\u654f\u514b\u3001\u7b2c33\u56de\u65e5\u672c\u533b\u7642\u85ac\u5b66\u4f1a\u5e74\u4f1a\u30012023\/11\u3001\u4ed9\u53f0<\/li>\n<\/ol>\n<\/div><\/div>\n\n\n\n
              <\/div><\/div>\n\n\n\n

              \u30102\u3011\u56fd\u969b\u5b66\u4f1a<\/h4>\n\n\n\n
              \n

              \u4e00\u822c\u8b1b\u6f14\u30fb\u30dd\u30b9\u30bf\u30fc\u767a\u8868<\/p>\n\n\n\n

                \n
              1. Development of DeepSnap, a novel in silico technology for predicting toxicity from chemical structures<\/strong>: Ueaswa Y<\/span>, Matsuzaka Y<\/span>, 25th International Symposium on Molecular Medicine, 2023\/3,  Chile<\/li>\n\n\n\n
              2. Tumor-specificity and neurotoxicity of pyrazole derivatives with sulfonamide moiety<\/strong>: Ozgun DO, Gul HI, Mete E, Kazaz C, Sakagami H, Amano S, Satoh K, Kurosaki K, Uesawa Y<\/span>, International Multidisciplinary Symposium on Drug Research and Development (DRD 2023), 2023\/5, Tukey<\/li>\n<\/ol>\n<\/div><\/div>\n<\/div><\/div>\n\n\n\n
                \n

                2022<\/strong><\/h3>\n\n\n\n

                \u30101\u3011\u56fd\u5185\u5b66\u4f1a<\/h4>\n\n\n\n
                \n

                \u4e00\u822c\u8b1b\u6f14\u30fb\u30dd\u30b9\u30bf\u30fc\u767a\u8868<\/p>\n\n\n\n

                  \n
                1. \u533b\u7642\u30d3\u30c3\u30af\u30c7\u30fc\u3092\u6d3b\u7528\u3057\u305f\u514d\u75ab\u30c1\u30a7\u30c3\u30af\u30dd\u30a4\u30f3\u30c8\u963b\u5bb3\u5264\u95a2\u9023\u80ba\u708e\u306e\u30ea\u30b9\u30af\u56e0\u5b50\u306b\u95a2\u3059\u308b\u691c\u8a0e<\/strong>\uff1a\u671d\u7530\u745e\u7a42<\/span>\u3001\u898b\u795e\u5c0a\u4fee\u3001\u65b0\u6751\u8cb4\u535a\u3001\u5ea7\u9593\u5473\u7fa9\u4eba\u3001\u4e2d\u99ac\u771f\u5e78\u3001\u5408\u7530\u5149\u5bdb\u3001\u77f3\u6fa4\u5553\u4ecb\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u65e5\u672c\u85ac\u5b66\u4f1a\u7b2c142\u5e74\u4f1a\uff08Web\u958b\u50ac\uff09\u30012022\/3<\/li>\n\n\n\n
                2. \u6709\u5bb3\u4e8b\u8c61\u81ea\u767a\u5831\u544a\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9FAERS\u3092\u7528\u3044\u305f\u85ac\u5264\u6027\u767d\u5185\u969c\u3092\u8a98\u767a\u3059\u308b\u533b\u85ac\u54c1\u306e\u89e3\u6790<\/strong>\uff1a\u91ce\u53e3\u5948\u685c<\/span>\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u65e5\u672c\u85ac\u5b66\u4f1a\u7b2c142\u5e74\u4f1a\uff08Web\u958b\u50ac\uff09\u30012022\/3<\/li>\n\n\n\n
                3. \u526f\u4f5c\u7528\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9\u3092\u7528\u3044\u305f\u85ac\u5264\u6027\u63bb\u75d2\u75c7\u3092\u8a98\u767a\u3059\u308b\u539f\u56e0\u533b\u85ac\u54c1\u306e\u89e3\u6790<\/strong>\uff1a\u4e2d\u5c3e\u767e\u5408\u5b50<\/span>\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u65e5\u672c\u85ac\u5b66\u4f1a\u7b2c142\u5e74\u4f1a\uff08Web\u958b\u50ac\uff09\u30012022\/3<\/li>\n\n\n\n
                4. \u5927\u898f\u6a21\u6709\u5bb3\u4e8b\u8c61\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9FAERS\u3092\u7528\u3044\u305f\u85ac\u7269\u8a98\u767a\u6027\u80ba\u52d5\u8108\u6027\u80ba\u9ad8\u8840\u5727\u75c7\u306e\u767a\u75c7\u6a5f\u5e8f\u306e\u89e3\u6790<\/strong>\uff1a\u5948\u826f\u7a42\u91ce\u9999<\/span>\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u65e5\u672c\u85ac\u5b66\u4f1a\u7b2c142\u5e74\u4f1a\uff08Web\u958b\u50ac\uff09\u30012022\/3<\/li>\n\n\n\n
                5. \u526f\u4f5c\u7528\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9\u3068\u6a5f\u68b0\u5b66\u7fd2\u3092\u6d3b\u7528\u3057\u305f\u85ac\u5264\u6027\u809d\u304c\u3093\u306e\u767a\u75c7\u8981\u56e0\u306e\u89e3\u6790<\/strong>\uff1a\u9ed2\ufa11\u5b8f\u592a<\/span>\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u65e5\u672c\u85ac\u5b66\u4f1a\u7b2c142\u5e74\u4f1a\uff08Web\u958b\u50ac\uff09\u30012022\/3<\/li>\n\n\n\n
                6. \u526f\u4f5c\u7528\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9\u3092\u7528\u3044\u305f\u85ac\u5264\u8a98\u767a\u6027\u8a8d\u77e5\u6a5f\u80fd\u969c\u5bb3\u306e\u8981\u56e0\u89e3\u6790<\/strong>\uff1a\u6625\u539f\u771f\u8863<\/span>\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u65e5\u672c\u85ac\u5b66\u4f1a\u7b2c142\u5e74\u4f1a\uff08Web\u958b\u50ac\uff09\u30012022\/3<\/li>\n\n\n\n
                7. \u533b\u85ac\u54c1\u526f\u4f5c\u7528\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9\u3092\u7528\u3044\u305f\u85ac\u5264\u6027\u9593\u8cea\u6027\u80ba\u75be\u60a3\u306e\u767a\u75c7\u6642\u671f\u3068\u5316\u5b66\u69cb\u9020\u7684\u7279\u5fb4\u306e\u89e3\u6790<\/strong>\uff1a\u6c38\u7530\u5065\u4eba<\/span>\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u65e5\u672c\u85ac\u5b66\u4f1a\u7b2c142\u5e74\u4f1a\uff08Web\u958b\u50ac\uff09\u30012022\/3<\/li>\n\n\n\n
                8. \u533b\u85ac\u54c1\u526f\u4f5c\u7528\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9\u3092\u7528\u3044\u305f\u4e0a\u5ba4\u6027\u983b\u8108\u6027\u4e0d\u6574\u8108\u3092\u8a98\u767a\u3059\u308b\u533b\u85ac\u54c1\u306e\u5316\u5b66\u69cb\u9020\u7684\u7279\u5fb4\u306e\u89e3\u6790<\/strong>\uff1a\u8302\u6728\u535a\u8cb4<\/span>\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u65e5\u672c\u85ac\u5b66\u4f1a\u7b2c142\u5e74\u4f1a\uff08Web\u958b\u50ac\uff09\u30012022\/3<\/li>\n\n\n\n
                9. \u533b\u85ac\u54c1\u526f\u4f5c\u7528\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9JADER\u306b\u57fa\u3065\u304f\u6297\u30a4\u30f3\u30d5\u30eb\u30a8\u30f3\u30b6\u30a6\u30a4\u30eb\u30b9\u85ac\u3068\u7cbe\u795e\u969c\u5bb3\u306e\u95a2\u9023\u6027<\/strong>\uff1a\u9ad9\u91ce\u91cc\u54b2<\/span>\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u65e5\u672c\u85ac\u5b66\u4f1a\u7b2c142\u5e74\u4f1a\uff08Web\u958b\u50ac\uff09\u30012022\/3<\/li>\n\n\n\n
                10. \u5927\u898f\u6a21\u526f\u4f5c\u7528\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9\u306b\u304a\u3051\u308b\u5149\u7dda\u904e\u654f\u75c7\u3092\u8a98\u767a\u3059\u308b\u533b\u85ac\u54c1\u306e\u7279\u5fb4\u89e3\u6790<\/strong>\uff1a\u9ad8\u91ce\u5fd7\u4fdd<\/span>\u3001\u690d\u6ca2 \u82b3\u5e83<\/span>\u3001\u65e5\u672c\u85ac\u5b66\u4f1a\u7b2c142\u5e74\u4f1a\uff08Web\u958b\u50ac\uff09\u30012022\/3<\/li>\n\n\n\n
                11. \u5927\u898f\u6a21\u526f\u4f5c\u7528\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9\u3092\u7528\u3044\u305f\u6297\u30d2\u30b9\u30bf\u30df\u30f3\u85ac\u306b\u304a\u3051\u308b\u85ac\u7269\u6027\u809d\u969c\u5bb3\u306e\u767a\u73fe\u7d4c\u8def\u306e\u63a2\u7d22<\/strong>\uff1a\u9808\u85e4\u9f8d\u4e4b\u4ecb<\/span>\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u65e5\u672c\u85ac\u5b66\u4f1a\u7b2c142\u5e74\u4f1a\uff08Web\u958b\u50ac\uff09\u30012022\/3<\/li>\n\n\n\n
                12. \u5927\u898f\u6a21\u526f\u4f5c\u7528\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9\u306b\u57fa\u3065\u304f\u30d9\u30f3\u30be\u30b8\u30a2\u30bc\u30d4\u30f3\u7cfb\u85ac\u7269\u306e\u85ac\u7269\u4f9d\u5b58\u75c7\u8a98\u767a\u50be\u5411\u306e\u89e3\u6790<\/strong>\uff1a\u5bcc\u6ca2\u68a8\u83ef\u5b50<\/span>\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u65e5\u672c\u85ac\u5b66\u4f1a\u7b2c142\u5e74\u4f1a\uff08Web\u958b\u50ac\uff09\u30012022\/3<\/li>\n\n\n\n
                13. \u526f\u4f5c\u7528\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9\u3092\u7528\u3044\u305f\u4f4e\u8840\u7cd6\u3092\u8a98\u767a\u3059\u308b\u533b\u85ac\u54c1\u306b\u304a\u3051\u308b\u7269\u7406\u5316\u5b66\u7684\u8981\u56e0\u306e\u89e3\u6790<\/strong>\uff1a\u68da\u6fa4\u4e00\u5e06<\/span>\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u65e5\u672c\u85ac\u5b66\u4f1a\u7b2c142\u5e74\u4f1a\uff08Web\u958b\u50ac\uff09\u30012022\/3<\/li>\n\n\n\n
                14. \u5316\u5b66\u69cb\u9020\u60c5\u5831\u3092\u7528\u3044\u305f\u85ac\u5264\u6027\u814e\u969c\u5bb3\u3092\u60f9\u8d77\u3059\u308b\u533b\u85ac\u54c1\u306e\u8b58\u5225\u30e2\u30c7\u30eb\u306e\u69cb\u7bc9<\/strong>\uff1a\u9808\u6c38\u96c4\u8cb4<\/span>\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u65e5\u672c\u85ac\u5b66\u4f1a\u7b2c142\u5e74\u4f1a\uff08Web\u958b\u50ac\uff09\u30012022\/3<\/li>\n\n\n\n
                15. \u526f\u4f5c\u7528\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9\u3092\u7528\u3044\u305f\u5206\u5b50\u6a19\u7684\u85ac\u306b\u304a\u3051\u308b\u76ae\u819a\u969c\u5bb3\u306e\u89e3\u6790<\/strong>\uff1a\u5d50\u3000\u5eb7\u4e00\u6717<\/span>\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u65e5\u672c\u85ac\u5b66\u4f1a\u7b2c142\u5e74\u4f1a\uff08Web\u958b\u50ac\uff09\u30012022\/3<\/li>\n\n\n\n
                16. \u526f\u4f5c\u7528\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9\u3092\u7528\u3044\u305f\u85ac\u5264\u6027\u610f\u8b58\u969c\u5bb3\u306e\u767a\u75c7\u306b\u95a2\u9023\u3059\u308b\u751f\u5316\u5b66\u7684\u7d4c\u8def\u306e\u63a2\u7d22<\/strong>\uff1a\u4e8c\u30ce\u5bae\u9032<\/span>\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u65e5\u672c\u85ac\u5b66\u4f1a\u7b2c142\u5e74\u4f1a\uff08Web\u958b\u50ac\uff09\u30012022\/3<\/li>\n\n\n\n
                17. \u526f\u4f5c\u7528\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9\u3092\u7528\u3044\u305f\u6d88\u5316\u5668\u75c7\u72b6\u306e\u5831\u544a\u306b\u57fa\u3065\u304fNSAIDs\u306e\u5206\u985e<\/strong>\uff1a\u7530\u539f\u5c1a\u6643<\/span>\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u65e5\u672c\u85ac\u5b66\u4f1a\u7b2c142\u5e74\u4f1a\uff08Web\u958b\u50ac\uff09\u30012022\/3<\/li>\n\n\n\n
                18. \u7537\u6027\u306b\u304a\u3051\u308b\u85ac\u5264\u6027\u5403\u9006\u306e\u767a\u75c7\u3068\u95a2\u9023\u3059\u308b\u5316\u5b66\u69cb\u9020\u63a2\u7d22\u3000\uff5e\u526f\u4f5c\u7528\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9FAERS\u3092\u7528\u3044\u305f\u6a5f\u68b0\u5b66\u7fd2\u30e2\u30c7\u30eb\u69cb\u7bc9\uff5e<\/strong>\uff1a\u7d30\u8c37\u9f8d\u4e00\u90ce<\/span>\u3001\u9ed2\ufa11\u5b8f\u592a<\/span>\u3001\u91ce\u6fa4\uff08\u77f3\u4e95\uff09\u73b2\u5b50\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u7b2c15\u56de\u65e5\u672c\u7de9\u548c\u533b\u7642\u85ac\u5b66\u4f1a\u5e74\u4f1a\uff08Web\u958b\u50ac\uff09\u30012022\/5<\/li>\n\n\n\n
                19. \u6709\u5bb3\u4e8b\u8c61\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9\u304a\u3088\u3073\u6a5f\u68b0\u5b66\u7fd2\u3092\u7528\u3044\u305f\u85ac\u5264\u6027\u63bb\u75d2\u75c7\u306e\u8a98\u767a\u30e1\u30ab\u30cb\u30ba\u30e0\u306e\u89e3\u6790<\/strong>\uff1a\u4e2d\u5c3e\u767e\u5408\u5b50<\/span>\u3001\u9ed2\ufa11\u5b8f\u592a<\/span>\u3001\u671d\u7530\u745e\u7a42<\/span>\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u7b2c49\u56de\u65e5\u672c\u6bd2\u6027\u5b66\u4f1a\u5b66\u8853\u5e74\u4f1a\u30012022\/6\u3001\u672d\u5e4c<\/li>\n\n\n\n
                20. \u828d\u85ac\u306e\u85ac\u7406\u6d3b\u6027\u4e88\u6e2c\u30b7\u30b9\u30c6\u30e0\u5b9f\u73fe\u3092\u76ee\u6307\u3057\u305fNMR\u30e1\u30bf\u30dc\u30ed\u30df\u30af\u30b9\u306e\u69cb\u7bc9\uff08\u7b2c2\u5831\uff09<\/strong>\uff1a\u7532\u6590\u4e45\u535a\u3001\u6749\u7530\u5343\u6cf0\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u5b89\u85e4\u3000\u5b5d\u3001\u5c71\u672c\u6210\u90ce\u3001\u9ed2\u5ddd\u660c\u5f66\u3001\u65e5\u672c\u751f\u85ac\u5b66\u4f1a\u7b2c68\u56de\u5e74\u4f1a\u30012022\/8\u3001\u677e\u5c71<\/li>\n\n\n\n
                21. \u526f\u4f5c\u7528\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9\u3092\u7528\u3044\u305f\u91cd\u75c7\u76ae\u819a\u526f\u4f5c\u7528\u3092\u8a98\u767a\u3059\u308b\u533b\u85ac\u54c1\u306e\u7db2\u7f85\u7684\u89e3\u6790<\/strong>\uff1a\u5229\u6839\u5ddd\u7406\u7d17<\/span>\u3001\u671d\u7530\u745e\u7a42<\/span>\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u7b2c8\u56de\u65e5\u672c\u533b\u85ac\u54c1\u5b89\u5168\u6027\u5b66\u4f1a\u5b66\u8853\u5927\u4f1a\u3001\uff08Web\u958b\u50ac\uff09\u30012022\/8<\/li>\n\n\n\n
                22. \u6709\u5bb3\u4e8b\u8c61\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9\u3092\u7528\u3044\u305f\u85ac\u5264\u6027\u63bb\u75d2\u75c7\u306e\u95a2\u9023\u533b\u85ac\u54c1\u306b\u304a\u3051\u308b\u81e8\u5e8a\u6240\u898b\u5225\u306e\u89e3\u6790<\/strong>\uff1a\u4e2d\u5c3e\u767e\u5408\u5b50<\/span>\u3001\u671d\u7530\u745e\u7a42<\/span>\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u7b2c8\u56de\u65e5\u672c\u533b\u85ac\u54c1\u5b89\u5168\u6027\u5b66\u4f1a\u5b66\u8853\u5927\u4f1a\u3001\uff08Web\u958b\u50ac\uff09\u30012022\/8<\/li>\n\n\n\n
                23. JADER \u306b\u57fa\u3065\u304f\u975e\u5b9a\u578b\u5927\u817f\u9aa8\u9aa8\u6298\u306e\u5371\u967a\u56e0\u5b50\u3001\u767a\u73fe\u6642\u671f\u306e\u30d7\u30ed\u30d5\u30a1\u30a4\u30eb\u3001\u85ac\u7269\u9593\u76f8\u4e92\u4f5c\u7528\u306e\u691c\u8a0e<\/strong>\uff1a\u9ce5\u6d77\u771f\u4e5f<\/span>\u3001\u4e09\u68ee\u7adc\u53f8\u3001\u5742\u672c\u6cbb\u5f66\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u7b2c32\u56de\u65e5\u672c\u533b\u7642\u85ac\u5b66\u4f1a\u5e74\u4f1a\u30012022\/9\u3001\u524d\u6a4b<\/li>\n\n\n\n
                24. \u85ac\u5264\u8a98\u767a\u6027\u5403\u9006\u3068\u30b0\u30eb\u30b3\u30b3\u30eb\u30c1\u30b3\u30a4\u30c9\u53d7\u5bb9\u4f53\u306e\u95a2\u4fc2<\/strong>\uff1a\u7d30\u8c37\u9f8d\u4e00\u90ce<\/span>\u3001\u91ce\u6fa4\uff08\u77f3\u4e95\uff09\u73b2\u5b50\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u7b2c32\u56de\u65e5\u672c\u533b\u7642\u85ac\u5b66\u4f1a\u5e74\u4f1a\u30012022\/9\u3001\u524d\u6a4b<\/li>\n\n\n\n
                25. Comprehensive analysis of ixazomib-induced adverse events using the Japanese pharmacovigilance database<\/strong>: Yamaoka K, Fujiwara M, Uchida M, Uesawa Y<\/span>, Shimizu T, Muroi N, \u7b2c32\u56de\u65e5\u672c\u533b\u7642\u85ac\u5b66\u4f1a\u5e74\u4f1a\u30a4\u30f3\u30bf\u30fc\u30ca\u30b7\u30e7\u30ca\u30eb\u30bb\u30c3\u30b7\u30e7\u30f3, 2022\/9, \u524d\u6a4b<\/li>\n\n\n\n
                26. Evaluation of Cardiac Adverse Events Associated with Carfilzomib Using a Japanese Real-World Database<\/strong>: Nakao S, Uchida M, Satoki A, Okamoto K, Uesawa Y<\/span>, Kiyomiya K, Shimizu T, \u7b2c32\u56de\u65e5\u672c\u533b\u7642\u85ac\u5b66\u4f1a\u5e74\u4f1a\u30a4\u30f3\u30bf\u30fc\u30ca\u30b7\u30e7\u30ca\u30eb\u30bb\u30c3\u30b7\u30e7\u30f3, 2022\/9, \u524d\u6a4b<\/li>\n\n\n\n
                27. Analysis of adverse events with nintedanib using the Japanese Adverse Event Spontaneous Reporting Database<\/strong>: Fujiwara M, Uchida M, Uesawa Y<\/span>, Shimizu T, Ikesue H, Muroia N, \u7b2c32\u56de\u65e5\u672c\u533b\u7642\u85ac\u5b66\u4f1a\u5e74\u4f1a\u30a4\u30f3\u30bf\u30fc\u30ca\u30b7\u30e7\u30ca\u30eb\u30bb\u30c3\u30b7\u30e7\u30f3, 2022\/9, \u524d\u6a4b<\/li>\n\n\n\n
                28. Comprehensive analysis of the drugs that may induce severe cutaneous adverse reactions using the adverse drug event report database: <\/strong>Tonegawa R<\/span>, Uesawa Y<\/span>, CBI\u5b66\u4f1a2022\u5e74\u5927\u4f1a, 2021\/10, \u6771\u4eac<\/li>\n\n\n\n
                29. \u30d2\u30c8\u30ed\u8154\u6241\u5e73\u4e0a\u76ae\u304c\u3093\u7d30\u80de\u306b\u5bfe\u3057\u3066\u9ad8\u3044\u816b\u760d\u9078\u629e\u5236\u3092\u793a\u3059\u30af\u30ed\u30e2\u30f3\u8a98\u5c0e\u4f53\u306e\u63a2\u7d22\u3068\u526f\u4f5c\u7528\u306e\u691c\u8a0e<\/strong>\uff1a\u5742\u4e0a\u3000\u5b8f\u3001\u7530\u6cbc\u9756\u4e00\u3001\u5929\u91ce\u3000\u6ecb\u3001\u9b5a\u7530\u3000\u614e\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u9ed2\ufa11\u5b8f\u592a<\/span>\u3001\u9ad8\u5c3e\u6d69\u4e00\u3001\u6749\u7530\u7fa9\u662d\u3001\u7b2c96\u56de\u65e5\u672c\u85ac\u7406\u5b66\u4f1a\u5e74\u4f1a\u30012022\/11\u3001\u6a2a\u6d5c<\/li>\n<\/ol>\n<\/div><\/div>\n\n\n\n
                  <\/div><\/div>\n\n\n\n

                  \u30102\u3011\u56fd\u969b\u5b66\u4f1a<\/h4>\n\n\n\n
                  \n

                  \u4e00\u822c\u8b1b\u6f14\u30fb\u30dd\u30b9\u30bf\u30fc\u767a\u8868<\/p>\n\n\n\n

                    \n
                  1. QSAR analysis using deep learning based on deepsnap: A novel molecular image input system:<\/strong> Uesawa Y<\/span>, Matsuzaka Y<\/span>, 23rd EuroQSAR, 2022\/9, Germany<\/li>\n\n\n\n
                  2.  Leveraging large-scale clinical information and multiple bioactivities of drugs<\/strong>: Kurosaki K<\/span>, Uesawa Y<\/span>, 23rd EuroQSAR, 2022\/9, Germany<\/li>\n<\/ol>\n<\/div><\/div>\n<\/div><\/div>\n\n\n\n
                    \n

                    2021<\/strong><\/h3>\n\n\n\n

                    \u30101\u3011\u56fd\u5185\u5b66\u4f1a<\/h4>\n\n\n\n
                    \n

                    \u4e00\u822c\u8b1b\u6f14\u30fb\u30dd\u30b9\u30bf\u30fc\u767a\u8868<\/p>\n\n\n\n

                      \n
                    1. \u5927\u898f\u6a21\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9\u306b\u3088\u308b\u767a\u71b1\u6027\u597d\u4e2d\u7403\u6e1b\u5c11\u75c7\u306e\u89e3\u6790<\/strong>\uff1a\u5965\u4e2d\u771f\u767d<\/span>\u3001\u52a0\u7d0d\u5927\u8f14\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u7b2c10\u56de\u65e5\u672c\u85ac\u5264\u5e2b\u30ec\u30b8\u30c7\u30f3\u30c8\u30d5\u30a9\u30fc\u30e9\u30e0\uff08Web\u958b\u50ac\uff09\u30012021\/3<\/li>\n\n\n\n
                    2. \u533b\u85ac\u54c1\u526f\u4f5c\u7528\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9JADER\u3092\u7528\u3044\u305f\u6f22\u65b9\u88fd\u5264\u542b\u6709\u751f\u85ac\u306e\u89e3\u6790<\/strong>\uff1a\u85ac\u4e38\u5b9f\u685c<\/span>\u3001\u6c38\u4e95\u7d14\u5b50<\/span>\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u65e5\u672c\u85ac\u5b66\u4f1a\u7b2c141\u5e74\u4f1a\uff08Web\u958b\u50ac\uff09\u30012021\/3<\/li>\n\n\n\n
                    3. \u526f\u4f5c\u7528\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9JADER\u3092\u7528\u3044\u305f\u611f\u67d3\u75c7\u3092\u8a98\u767a\u3059\u308b\u6297\u60aa\u6027\u816b\u760d\u85ac\u306e\u5206\u985e\u8a55\u4fa1<\/strong>\uff1a\u718a\u8c37\u7f8e\u5357<\/span>\u3001\u6c38\u4e95\u7d14\u5b50<\/span>\u3001\u690d\u6ca2 \u82b3\u5e83<\/span>\u3001\u65e5\u672c\u85ac\u5b66\u4f1a\u7b2c141\u5e74\u4f1a\uff08Web\u958b\u50ac\uff09\u30012021\/3<\/li>\n\n\n\n
                    4. \u8db3\u5834\u975e\u4f9d\u5b58\u7684\u30b3\u30ed\u30cb\u30fc\u5f62\u6210\u8a66\u9a13\u306b\u304a\u3051\u308b\u7570\u5e38\u7d30\u80de\u30b3\u30ed\u30cb\u30fc\u306e\u6df1\u5c64\u5b66\u7fd2\u306b\u3088\u308b\u753b\u50cf\u8b58\u5225\u30e2\u30c7\u30eb\u306e\u8a55\u4fa1<\/strong>\uff1a\u8349\u5ddd\u68ee\u58eb\u3001\u677e\u5742\u606d\u6210<\/span>\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u4f50\u85e4\u967d\u6cbb\u3001\u4f50\u85e4\u5149\u5229\u3001\u65e5\u672c\u85ac\u5b66\u4f1a\u7b2c141\u5e74\u4f1a\uff08Web\u958b\u50ac\uff09\u30012021\/3<\/li>\n\n\n\n
                    5. \u5206\u5b50\u30b0\u30e9\u30d5\u53ca\u3073\u5316\u5b66\u69cb\u9020\u8a18\u8ff0\u5b50\u3092\u7528\u3044\u305f\u5909\u7570\u539f\u6027QSTR\u89e3\u6790<\/strong>\uff1a\u9ed2\ufa11\u5b8f\u592a<\/span>\u3001\u4f50\u3005\u6728\u4fca\u4e00\u3001\u677e\u5742\u606d\u6210<\/span>\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u65e5\u672c\u85ac\u5b66\u4f1a\u7b2c141\u5e74\u4f1a\uff08Web\u958b\u50ac\uff09\u30012021\/3<\/li>\n\n\n\n
                    6. \u5206\u5b50\u753b\u50cf\u306e\u30c7\u30a3\u30fc\u30d7\u30e9\u30fc\u30cb\u30f3\u30b0\u306b\u57fa\u3065\u304f\u30da\u30eb\u30aa\u30ad\u30b7\u30bd\u30fc\u30e0\u5897\u6b96\u56e0\u5b50\u6d3b\u6027\u5316\u53d7\u5bb9\u4f53g (PPARg)\u30a2\u30b4\u30cb\u30b9\u30c8\u30fb\u30a2\u30f3\u30bf\u30b4\u30cb\u30b9\u30c8\u6d3b\u6027\u4e88\u6e2c<\/strong>\uff1a\u677e\u5742\u606d\u6210<\/span>\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u65e5\u672c\u85ac\u5b66\u4f1a\u7b2c141\u5e74\u4f1a\uff08Web\u958b\u50ac\uff09\u30012021\/3<\/li>\n\n\n\n
                    7. \u900f\u6790\u60a3\u8005\u306e\u751f\u547d\u4e88\u5f8c\u306b\u5f71\u97ff\u3092\u53ca\u307c\u3059\u8981\u56e0\u306e\u89e3\u6790<\/strong>\uff1a\u9326\u7e54\u529f\u5ef6<\/span>\u3001\u7530\u4e2d\u5065\u592a\u90ce\u3001\u5c0f\u6ca2\u3000\u5c1a\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u65e5\u672c\u85ac\u5b66\u4f1a\u7b2c141\u5e74\u4f1a\uff08Web\u958b\u50ac\uff09\u30012021\/3<\/li>\n\n\n\n
                    8. \u526f\u4f5c\u7528\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9\u306b\u57fa\u3065\u304f\u30a4\u30ea\u30ce\u30c6\u30ab\u30f3\u306b\u3088\u308b\u4e0b\u75e2\u306e\u767a\u73fe\u50be\u5411\u306e\u89e3\u6790<\/strong>\uff1a\u5965\u4e2d\u771f\u767d<\/span>\u3001\u52a0\u7d0d\u5927\u8f14\u3001\u677e\u4e95\u793c\u5b50\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u65e5\u672c\u85ac\u5b66\u4f1a\u7b2c141\u5e74\u4f1a\uff08Web\u958b\u50ac\uff09\u30012021\/3<\/li>\n\n\n\n
                    9. \u5316\u5b66\u69cb\u9020\u3092\u7528\u3044\u305f\u809d\u4ee3\u8b1d\u5f8b\u901f\u578b\u85ac\u7269\u306e\u8b58\u5225<\/strong>\uff1a\u83c5\u3000\u88d5\u4eae<\/span>\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u65e5\u672c\u85ac\u5b66\u4f1a\u7b2c141\u5e74\u4f1a\uff08Web\u958b\u50ac\uff09\u30012021\/3<\/li>\n\n\n\n
                    10. \u5403\u9006\u3068\u95a2\u9023\u3059\u308b\u5316\u5b66\u69cb\u9020\u304a\u3088\u3073\u30b9\u30c6\u30ed\u30a4\u30c9\u53d7\u5bb9\u4f53\u306e\u63a2\u7d22\u301c\u4e16\u754c\u6700\u5927\u306e\u526f\u4f5c\u7528\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9FEARS\u306e\u89e3\u6790\u7d50\u679c\u301c<\/strong>\uff1a\u7d30\u8c37\u9f8d\u4e00\u90ce<\/span>\u3001\u91ce\u6fa4\uff08\u77f3\u4e95\uff09\u73b2\u5b50\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u7b2c14\u56de\u65e5\u672c\u7de9\u548c\u533b\u7642\u85ac\u5b66\u4f1a\u5e74\u4f1a\uff08Web\u958b\u50ac\uff09\u30012021\/5<\/li>\n\n\n\n
                    11. \u5927\u898f\u6a21\u6709\u5bb3\u4e8b\u8c61\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9FAERS\u3092\u7528\u3044\u305f\u30aa\u30d4\u30aa\u30a4\u30c9\u93ae\u75db\u85ac\u306e\u526f\u4f5c\u7528\u767a\u73fe\u50be\u5411\u306e\u89e3\u6790<\/strong>\uff1a\u5e73\u4e95\u68a8\u7d17\u5b50<\/span>\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u7b2c14\u56de\u65e5\u672c\u7de9\u548c\u533b\u7642\u85ac\u5b66\u4f1a\u5e74\u4f1a\uff08Web\u958b\u50ac\uff09\u30012021\/5<\/li>\n\n\n\n
                    12. JADER \u306b\u57fa\u3065\u304f\u85ac\u5264\u6027\u9aa8\u6298\u306e\u691c\u8a0e<\/strong>\uff1a\u9ce5\u6d77\u771f\u4e5f<\/span>\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u5c0f\u6797\u660e\u4fe1\u3001\u7b2c23\u56de\u65e5\u672c\u533b\u85ac\u54c1\u60c5\u5831\u5b66\u4f1a\u7dcf\u4f1a\u30fb\u5b66\u8853\u5927\u4f1a\uff08Web\u958b\u50ac\uff09\u30012021\/6<\/li>\n\n\n\n
                    13. \u526f\u4f5c\u7528\u81ea\u767a\u5831\u544a\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9FAERS\u3092\u7528\u3044\u305f\u5206\u5b50\u8d77\u59cb\u53cd\u5fdc\u304a\u3088\u3073\u5909\u7570\u539f\u6027\u306b\u57fa\u3065\u304f\u85ac\u5264\u6027\u809d\u81d3\u60aa\u6027\u816b\u760d\u30b7\u30b0\u30ca\u30eb\u306ein silico\u89e3\u6790<\/strong>\uff1a\u9ed2\ufa11\u5b8f\u592a<\/span>\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u7b2c48\u56de\u65e5\u672c\u6bd2\u6027\u5b66\u4f1a\u5b66\u8853\u5e74\u4f1a\uff08Web\u958b\u50ac\uff09\u30012021\/7<\/li>\n\n\n\n
                    14. \u526f\u4f5c\u7528\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9\u3092\u7528\u3044\u305f\u30d9\u30f3\u30c0\u30e0\u30b9\u30c1\u30f3\u95a2\u9023\u306e\u76ae\u819a\u969c\u5bb3\u306b\u95a2\u3059\u308b\u8a55\u4fa1<\/strong>\uff1a\u5185\u7530\u307e\u3084\u3053\u3001\u5ddd\u5c3b\u96c4\u5927\u3001\u524d\u5ddd\u5948\u7f8e\u3001\u9ad8\u91ce\u3000\u78a7\u3001\u7d30\u7551\u572d\u5b50\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u533b\u7642\u85ac\u5b66\u30d5\u30a9\u30fc\u30e9\u30e02021\uff0f\u7b2c29\u56de\u30af\u30ea\u30cb\u30ab\u30eb\u30d5\u30a1\u30fc\u30de\u30b7\u30fc\u30b7\u30f3\u30dd\u30b8\u30a6\u30e0\uff08Web\u958b\u50ac\uff09\u30012021\/7<\/li>\n\n\n\n
                    15. \u7573\u307f\u8fbc\u307f\u30cb\u30e5\u30fc\u30e9\u30eb\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u3092\u7528\u3044\u305f\u7570\u5e38\u7d30\u80de\u8b58\u5225\u306b\u95a2\u3059\u308b\u691c\u8a0e<\/strong>\uff1a\u8349\u5ddd\u68ee\u58eb\u3001\u677e\u5742\u606d\u6210\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u4f50\u85e4\u967d\u6cbb\u3001\u7b2c22\u56de\u5fdc\u7528\u85ac\u7406\u30b7\u30f3\u30dd\u30b8\u30a6\u30e0\uff08Web\u958b\u50ac\uff09\u30012021\/9<\/li>\n\n\n\n
                    16. \u30d2\u30c8\u53e3\u8154\u6241\u5e73\u4e0a\u76ae\u304c\u3093\u7d30\u80de\u306b\u5bfe\u3059\u308b\u6297\u304c\u3093\u5264\u304a\u3088\u3073\u904e\u9178\u5316\u6c34\u7d20\u3068\u30de\u30a4\u30eb\u30c9\u30cf\u30a4\u30d1\u30fc\u30b5\u30fc\u30df\u30a2\u306e\u4f75\u7528\u52b9\u679c<\/strong>\uff1a\u7530\u5ddd\u88d5\u4e5f\u3001\u5742\u4e0a\u3000\u5b8f\u3001\u5929\u91ce\u3000\u6ecb\u3001\u53cb\u6751\u7f8e\u6839\u5b50\u3001\u5742\u6771\u5065\u4e8c\u90ce\u3001\u9ad8\u5c3e\u6d69\u4e00\u3001\u6749\u7530\u7fa9\u662d\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u5c71\u672c\u4fe1\u6cbb\u3001\u5742\u4e0b\u82f1\u660e\u3001\u4e2d\u935b\u6cbb\u91cc\u5948\u3001\u5c0f\u6cc9\u654f\u4e4b\u3001\u5149\u85e4\u5065\u53f8\u3001\u85e4\u5185\u3000\u795d\u3001\u65e5\u672c\u30cf\u30a4\u30d1\u30fc\u30b5\u30fc\u30df\u30a2\u5b66\u4f1a\u7b2c38\u56de\u5927\u4f1a\uff08Web\u958b\u50ac\uff09\u30012021\/9<\/li>\n\n\n\n
                    17. FAERS\u3092\u5229\u7528\u3057\u305f\u5403\u9006\u306e\u6027\u5dee\u306b\u95a2\u3059\u308b\u63a2\u7d22\u7684\u7814\u7a76<\/strong>\uff1a\u7d30\u8c37\u9f8d\u4e00\u90ce<\/span>\u3001\u91ce\u6fa4\uff08\u77f3\u4e95\uff09\u73b2\u5b50 \u3001\u9ed2\ufa11\u5b8f\u592a<\/span>\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u7b2c31\u56de\u65e5\u672c\u533b\u7642\u85ac\u5b66\u4f1a\u5e74\u4f1a\uff08Web\u958b\u50ac\uff09\u30012021\/10<\/li>\n\n\n\n
                    18. Development of biologically interpretable prediction models for drug-induced liver malignant tumors based on the activity of molecular initiating events using FAERS: a self-reported adverse drug events database<\/strong>: Kurosaki K<\/span>, Uesawa Y<\/span>, CBI\u5b66\u4f1a2021\u5e74\u5927\u4f1a\uff08Web\u958b\u50ac\uff09, 2021\/10<\/li>\n\n\n\n
                    19. \u65b0\u898f DeepSnap-Deep Learning \u3092\u57fa\u306b\u3057\u305f\u69cb\u9020\u6d3b\u6027\u76f8\u95a2\u30b7\u30b9\u30c6\u30e0\u3092\u7528\u3044\u305f\u6bd2\u6027\u767a\u73fe\u7d4c\u8def\u306e\u5206\u5b50\u958b\u59cb\u53cd\u5fdc\u306b\u5bfe\u3059\u308b\u30a2\u30b4\u30cb\u30b9\u30c8\u304a\u3088\u3073\u30a2\u30f3\u30bf\u30b4\u30cb\u30b9\u30c8\u4e88\u6e2c\u30e2\u30c7\u30eb<\/strong>\uff1a\u677e\u5742\u606d\u6210\u3001\u5341\u6642\u3000\u4f38\u3001\u534a\u7530\u5065\u592a\u90ce\u3001\u5869\u7530\u54f2\u7fa9 \u3001\u9ed2\ufa11\u5b8f\u592a<\/span>\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u7b2c49\u56de\u69cb\u9020\u6d3b\u6027\u76f8\u95a2\u30b7\u30f3\u30dd\u30b8\u30a6\u30e0\uff08Web\u958b\u50ac\uff09\u30012021\/11<\/li>\n<\/ol>\n<\/div><\/div>\n<\/div><\/div>\n\n\n\n
                      \n

                      2020<\/strong><\/h3>\n\n\n\n

                      \u30101\u3011\u56fd\u5185\u5b66\u4f1a<\/h4>\n\n\n\n
                      \n

                      \u4e00\u822c\u8b1b\u6f14\u30fb\u30dd\u30b9\u30bf\u30fc\u767a\u8868<\/p>\n\n\n\n

                        \n
                      1. \u65b0\u898f3\uff0d\u30b9\u30c1\u30ea\u30eb\u30af\u30ed\u30e2\u30f3\u8a98\u5c0e\u4f53\u306e\u30d2\u30c8\u53e3\u8154\u6241\u5e73\u4e0a\u76ae\u764c\u7d30\u80de\u306b\u5bfe\u3059\u308b\u69cb\u9020\u2015\u9078\u629e\u6bd2\u6027\u76f8\u95a2<\/strong>\uff1a\u5742\u4e0a\u3000\u5b8f\u3001\u53f2\u3000\u6d77\u971e\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u6c38\u4e95\u7d14\u5b50<\/span>\u3001\u5742\u6771\u5065\u4e8c\u90ce\u3001\u53cb\u6751\u660e\u4eba\u3001\u53cb\u6751\u7f8e\u6839\u5b50\u3001\u661f\u304b\u304a\u308a\u3001\u9ad8\u5c3e\u6d69\u4e00\u3001\u6749\u7530\u7fa9\u662d\u3001\u7b2c93\u56de\u65e5\u672c\u85ac\u7406\u5b66\u4f1a\u5e74\u4f1a\uff08\u8a8c\u4e0a\u958b\u50ac\uff09\u30012020\/3\u3001\u795e\u5948\u5ddd<\/li>\n\n\n\n
                      2. DI-EI-MS\u30e1\u30bf\u30dc\u30ed\u30df\u30af\u30b9\u3092\u6d3b\u7528\u3057\u305f\u7c73\u9ed2\u9162\u306e\u6297\u9178\u5316\u6d3b\u6027\u4e88\u6e2c<\/strong>\uff1a\u4f50\u85e4\u3000\u5e0c\u3001\u7532\u6590\u4e45\u535a\u3001\u5409\u6e80\u3000\u9065\u3001\u4e2d\u3000\u826f\u5f18\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u53f6\u5185\u5b8f\u660e\u3001\u85e4\u4e95\u3000\u6681\u3001\u9577\u91ce\u6b63\u4fe1\u3001\u6728\u6751\u535a\u662d\u3001\u677e\u91ce\u5eb7\u4e8c\u3001\u65e5\u672c\u85ac\u5b66\u4f1a\u7b2c140\u5e74\u4f1a\uff08\u8a8c\u4e0a\u958b\u50ac\uff09\u30012020\/3\u3001\u4eac\u90fd<\/li>\n\n\n\n
                      3. 1H-NMR\u30e1\u30bf\u30dc\u30ed\u30df\u30af\u30b9\u3092\u7528\u3044\u305f\u30c0\u30a4\u30aa\u30a6\u306e\u6210\u4ebaT\u7d30\u80de\u767d\u8840\u75c5\u7d30\u80de\u5897\u6b96\u6291\u5236\u6d3b\u6027\u4e88\u6e2c\u30e2\u30c7\u30eb\u306e\u691c\u8a3c<\/strong>\uff1a\u7dd2\u65b9\u7fd4\u5b50\u3001\u771e\u7389\u512a\u91cc\u5948\u3001\u7532\u6590\u4e45\u535a\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u9234\u6728\u9f8d\u4e00\u90ce\u3001\u91ce\u5d0e\u9999\u6a39\u3001\u897f\u5c3e\u57fa\u4e4b\u3001\u68ee\u4e0b\u548c\u5e83\u3001\u5ca1\u7530\u5609\u4ec1\u3001\u6728\u6751\u535a\u662d\u3001\u677e\u91ce\u5eb7\u4e8c\u3001\u65e5\u672c\u85ac\u5b66\u4f1a\u7b2c140\u5e74\u4f1a\uff08\u8a8c\u4e0a\u958b\u50ac\uff09\u30012020\/3\u3001\u4eac\u90fd<\/li>\n\n\n\n
                      4. DI-EI-MS\u30e1\u30bf\u30dc\u30ed\u30df\u30af\u30b9\u3092\u6d3b\u7528\u3057\u305f\u30de\u30aa\u30a6\u306e\u6210\u4ebaT\u7d30\u80de\u767d\u8840\u75c5\u7d30\u80de\u5897\u6b96\u6291\u5236\u6d3b\u6027\u4e88\u6e2c\u30e2\u30c7\u30eb\u306e\u691c\u8a3c<\/strong>\uff1a\u771e\u7389\u512a\u91cc\u5948\u3001\u7dd2\u65b9\u7fd4\u5b50\u3001\u7532\u6590\u4e45\u535a\u3001\u4e2d\u3000\u826f\u5f18\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u91ce\u5d0e\u9999\u6a39\u3001\u897f\u5c3e\u57fa\u4e4b\u3001\u68ee\u4e0b\u548c\u5e83\u3001\u5ca1\u7530\u5609\u4ec1\u3001\u6728\u6751\u535a\u662d\u3001\u677e\u91ce\u5eb7\u4e8c\u3001\u65e5\u672c\u85ac\u5b66\u4f1a\u7b2c140\u5e74\u4f1a\uff08\u8a8c\u4e0a\u958b\u50ac\uff09\u30012020\/3\u3001\u4eac\u90fd<\/li>\n\n\n\n
                      5. \u5316\u5b66\u69cb\u9020\u53ca\u3073\u7a2e\u3005\u751f\u7406\u6d3b\u6027\u306b\u57fa\u3065\u304f\u809d\u304c\u3093\u8a98\u767a\u85ac\u7269\u4e88\u6e2c\u30e2\u30c7\u30eb\u3092\u7528\u3044\u305f\u767a\u75c7\u8981\u56e0\u306e\u89e3\u6790<\/strong>\uff1a\u9ed2\ufa11\u5b8f\u592a<\/span>\u3001\u4f50\u3005\u6728\u4fca\u4e00<\/span>\u3001\u677e\u5742\u606d\u6210<\/span>\u3001\u6c38\u4e95\u7d14\u5b50<\/span>\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u65e5\u672c\u85ac\u5b66\u4f1a\u7b2c140\u5e74\u4f1a\uff08\u8a8c\u4e0a\u958b\u50ac\uff09\u30012020\/3\u3001\u4eac\u90fd<\/li>\n\n\n\n
                      6. \u5927\u898f\u6a21\u526f\u4f5c\u7528\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9\u3092\u7528\u3044\u305f\u91cd\u75c7\u76ae\u819a\u526f\u4f5c\u7528\u306b\u5bfe\u3059\u308bQSAR\u4e88\u6e2c\u30e2\u30c7\u30eb\u306e\u7cbe\u5ea6\u5411\u4e0a\u306b\u95a2\u3059\u308b\u691c\u8a0e<\/strong>\uff1a\u5897\u5c71\u96c4\u5e73<\/span>\u3001\u6c38\u4e95\u7d14\u5b50<\/span>\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u65e5\u672c\u85ac\u5b66\u4f1a\u7b2c140\u5e74\u4f1a\uff08\u8a8c\u4e0a\u958b\u50ac\uff09\u30012020\/3\u3001\u4eac\u90fd<\/li>\n\n\n\n
                      7. \u8133\u795e\u7d4c\u75be\u60a3\u306b\u8d77\u56e0\u3057\u305f\u5403\u9006\u306b\u5bfe\u3059\u308b\u300c\u67ff\u306e\u30d8\u30bf\u714e\u300d\u306e\u6709\u52b9\u6027\u306e\u691c\u8a0e<\/strong>\uff1a\u4e2d\u5d8b\u307e\u3069\u304b<\/span>\u3001\u7d30\u8c37\u9f8d\u4e00\u90ce<\/span>\u3001\u65e5\u91ce\u6589\u4e00\u3001\u52a0\u8cc0\u8c37\u8087\u3001\u91ce\u6fa4\u73b2\u5b50\u3001\u6c38\u4e95\u7d14\u5b50<\/span>\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u65e5\u672c\u85ac\u5b66\u4f1a\u7b2c140\u5e74\u4f1a\uff08\u8a8c\u4e0a\u958b\u50ac\uff09\u30012020\/3\u3001\u4eac\u90fd<\/li>\n\n\n\n
                      8. \u533b\u85ac\u54c1\u526f\u4f5c\u7528\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9\u306b\u57fa\u3065\u304f\u6a2a\u7d0b\u7b4b\u878d\u89e3\u75c7\u3092\u8a98\u767a\u3059\u308b\u533b\u85ac\u54c1\u306e\u7279\u5fb4\u306e\u89e3\u6790<\/strong>\uff1a\u5bae\u672c\u6709\u5f69<\/span>\u3001\u6c38\u4e95\u7d14\u5b50<\/span>\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u65e5\u672c\u85ac\u5b66\u4f1a\u7b2c140\u5e74\u4f1a\uff08\u8a8c\u4e0a\u958b\u50ac\uff09\u30012020\/3\u3001\u4eac\u90fd<\/li>\n\n\n\n
                      9. \u526f\u4f5c\u7528\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9\u3092\u7528\u3044\u305f\u8840\u6813\u75c7\u306b\u304a\u3051\u308b\u82b3\u9999\u65cf\u70ad\u5316\u6c34\u7d20\u53d7\u5bb9\u4f53(AhR)\u306e\u89e3\u6790<\/strong>\uff1a\u6703\u7530\u7950\u559c<\/span>\u3001\u9ed2\u5d0e\u5b8f\u592a<\/span>\u3001\u5897\u5c71\u96c4\u5e73<\/span>\u3001\u6c38\u4e95\u7d14\u5b50<\/span>\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u65e5\u672c\u85ac\u5b66\u4f1a\u7b2c140\u5e74\u4f1a\uff08\u8a8c\u4e0a\u958b\u50ac\uff09\u30012020\/3\u3001\u4eac\u90fd<\/li>\n\n\n\n
                      10. \u526f\u4f5c\u7528\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9JADER\u3092\u7528\u3044\u305f\u30ec\u30c1\u30ce\u30a4\u30c9X\u53d7\u5bb9\u4f53\u6d3b\u6027\u5316\u85ac\u7269\u306e\u63a2\u7d22\u3068QSAR\u4e88\u6e2c\u30e2\u30c7\u30eb\u306e\u69cb\u7bc9<\/strong>\uff1a\u767d\u4e95\u88d5\u8cb4<\/span>\u3001\u5897\u5c71\u96c4\u5e73<\/span>\u3001\u9ed2\u5d0e\u5b8f\u592a<\/span>\u3001\u6c38\u4e95\u7d14\u5b50<\/span>\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u65e5\u672c\u85ac\u5b66\u4f1a\u7b2c140\u5e74\u4f1a\uff08\u8a8c\u4e0a\u958b\u50ac\uff09\u30012020\/3\u3001\u4eac\u90fd<\/li>\n\n\n\n
                      11. \u526f\u4f5c\u7528\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9JADER\u3092\u7528\u3044\u305f\u7532\u72b6\u817a\u6a5f\u80fd\u4ea2\u9032\u75c7\u3092\u8a98\u767a\u3059\u308b\u533b\u85ac\u54c1\u306e\u7279\u5fb4\u89e3\u6790<\/strong>\uff1a\u9577\u5cf6\u60a0\u6cf0<\/span>\u3001\u5897\u5c71\u96c4\u5e73<\/span>\u3001\u9ed2\u5d0e\u5b8f\u592a<\/span>\u3001\u6c38\u4e95\u7d14\u5b50<\/span>\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u65e5\u672c\u85ac\u5b66\u4f1a\u7b2c140\u5e74\u4f1a\uff08\u8a8c\u4e0a\u958b\u50ac\uff09\u30012020\/3\u3001\u4eac\u90fd<\/li>\n\n\n\n
                      12. \u526f\u4f5c\u7528\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9\u3092\u7528\u3044\u305f\u30a8\u30b9\u30c8\u30ed\u30b2\u30f3\u88fd\u5264\u304c\u8a98\u767a\u3059\u308b\u526f\u4f5c\u7528\u306e\u63a2\u7d22<\/strong>\uff1a\u9234\u6728\u512a\u679c<\/span>\u3001\u6c38\u4e95\u7d14\u5b50<\/span>\u3001\u9ed2\ufa11\u5b8f\u592a<\/span>\u3001\u5897\u5c71\u96c4\u5e73<\/span>\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u65e5\u672c\u85ac\u5b66\u4f1a\u7b2c140\u5e74\u4f1a\uff08\u8a8c\u4e0a\u958b\u50ac\uff09\u30012020\/3\u3001\u4eac\u90fd<\/li>\n\n\n\n
                      13. \u526f\u4f5c\u7528\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9\u306b\u304a\u3051\u308b\u982d\u75db\u3092\u8a98\u767a\u3059\u308b\u533b\u85ac\u54c1\u306e\u89e3\u6790<\/strong>\uff1a\u9234\u6728\u7f8e\u51ac<\/span>\u3001\u6c38\u4e95\u7d14\u5b50<\/span>\u3001\u9ed2\ufa11\u5b8f\u592a<\/span>\u3001\u5897\u5c71\u96c4\u5e73<\/span>\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u65e5\u672c\u85ac\u5b66\u4f1a\u7b2c140\u5e74\u4f1a\uff08\u8a8c\u4e0a\u958b\u50ac\uff09\u30012020\/3\u3001\u4eac\u90fd<\/li>\n\n\n\n
                      14. \u526f\u4f5c\u7528\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9\u3092\u7528\u3044\u305f\u30d2\u30fc\u30c8\u30b7\u30e7\u30c3\u30af\u5fdc\u7b54\u6d3b\u6027\u5316\u85ac\u7269\u306b\u3088\u308b\u76ae\u819a\u969c\u5bb3\u6291\u5236\u4f5c\u7528\u306e\u691c\u8a0e<\/strong>\uff1a\u6e21\u908a\u7d17\u91cc\u83dc<\/span>\u3001\u9ed2\ufa11\u5b8f\u592a<\/span>\u3001\u5897\u5c71\u96c4\u5e73<\/span>\u3001\u6c38\u4e95\u7d14\u5b50<\/span>\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u65e5\u672c\u85ac\u5b66\u4f1a\u7b2c140\u5e74\u4f1a\uff08\u8a8c\u4e0a\u958b\u50ac\uff09\u30012020\/3\u3001\u4eac\u90fd<\/li>\n\n\n\n
                      15. \u5927\u898f\u6a21\u526f\u4f5c\u7528\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9\u306b\u57fa\u3065\u304f\u767a\u71b1\u6027\u597d\u4e2d\u7403\u6e1b\u5c11\u75c7\u306e\u767a\u73fe\u50be\u5411\u306b\u95a2\u3059\u308b\u7814\u7a76<\/strong>\uff1a\u5965\u4e2d\u771f\u767d<\/span>\u3001\u52a0\u7d0d\u5927\u8f14\u3001\u5ddd\ufa11\u654f\u514b\u3001\u6c38\u4e95\u7d14\u5b50<\/span>\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u65e5\u672c\u85ac\u5b66\u4f1a\u7b2c140\u5e74\u4f1a\uff08\u8a8c\u4e0a\u958b\u50ac\uff09\u30012020\/3\u3001\u4eac\u90fd<\/li>\n\n\n\n
                      16. \u7c89\u672bX\u7dda\u56de\u6298\u3068\u30e9\u30de\u30f3\u5206\u5149\u6cd5\u306b\u3088\u308b\u5171\u7d50\u6676\u306e\u7d71\u8a08\u7684\u8a55\u4fa1<\/strong>\uff1a\u8352\u5c45\u7396\u5fd7\u3001\u6d25\u91ce\u76f4\u54c9\u3001\u5c0f\u5c71\u907c\u592a\u6717\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u6df1\u6c34\u5553\u6717\u3001\u65e5\u672c\u85ac\u5b66\u4f1a\u7b2c140\u5e74\u4f1a\uff08\u8a8c\u4e0a\u958b\u50ac\uff09\u30012020\/3\u3001\u4eac\u90fd<\/li>\n\n\n\n
                      17. \u526f\u4f5c\u7528\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9\u306b\u57fa\u3065\u304f\u6297\u751f\u7269\u8cea\u306b\u95a2\u9023\u3057\u305f\u5473\u899a\u7570\u5e38\u306e\u5206\u6790<\/strong>\uff1a\u83c5\u3000\u88d5\u4eae<\/span>\u3001\u6c38\u4e95\u7d14\u5b50<\/span>\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u65e5\u672c\u85ac\u5b66\u4f1a\u7b2c140\u5e74\u4f1a\uff08\u8a8c\u4e0a\u958b\u50ac\uff09\u30012020\/3\u3001\u4eac\u90fd<\/li>\n\n\n\n
                      18. \u5316\u5b66\u69cb\u9020\u3092\u7528\u3044\u305f\u8840\u6db2\u900f\u6790\u306b\u304a\u3051\u308b\u85ac\u7269\u9664\u53bb\u7387\u306e\u4e88\u6e2c<\/strong>\uff1a\u9326\u7e54\u529f\u5ef6<\/span>\u3001\u7530\u4e2d\u5065\u592a\u90ce\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u65e5\u672c\u85ac\u5b66\u4f1a\u7b2c140\u5e74\u4f1a\uff08\u8a8c\u4e0a\u958b\u50ac\uff09\u30012020\/3\u3001\u4eac\u90fd<\/li>\n\n\n\n
                      19. \u5171\u7d50\u6676\u306e\u63a2\u7d22\u30b9\u30af\u30ea\u30fc\u30cb\u30f3\u30b0\u306b\u304a\u3051\u308b\u5171\u7d50\u6676\u5f62\u6210\u8b58\u5225\u30e2\u30c7\u30eb\u306e\u691c\u8a0e<\/strong>\uff1a\u8352\u5c45\u7396\u5fd7\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u6df1\u6c34\u5553\u6717\u3001\u65e5\u672c\u85ac\u5264\u5b66\u4f1a\u7b2c35\u5e74\u4f1a\uff08\u8a8c\u4e0a\u958b\u50ac\uff09\u30012020\/5\u3001\u718a\u672c<\/li>\n\n\n\n
                      20. \u5909\u7570\u539f\u6027\u30fb\u6709\u5bb3\u6027\u767a\u73fe\u7d4c\u8def\u306b\u57fa\u3065\u304f\u809d\u304c\u3093\u8a98\u767a\u85ac\u7269\u4e88\u6e2cQSAR\u30e2\u30c7\u30eb\u306e\u69cb\u7bc9\u53ca\u3073\u7279\u5fb4\u89e3\u6790<\/strong>\uff1a\u9ed2\ufa11\u5b8f\u592a<\/span> \u3001\u5897\u5c71\u96c4\u5e73\u3001\u4f50\u3005\u6728\u4fca\u4e00<\/span>\u3001\u677e\u5742\u606d\u6210<\/span>\u3001\u6c38\u4e95\u7d14\u5b50<\/span>\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u7b2c47\u56de\u65e5\u672c\u6bd2\u6027\u5b66\u4f1a\u5b66\u8853\u5e74\u4f1a\uff08Web\u958b\u50ac\uff09\u30012020\/6<\/li>\n\n\n\n
                      21. \u5206\u5b50\u753b\u50cf\u306b\u57fa\u3065\u304f\u65b0\u898f\u6df1\u5c64\u5b66\u7fd2\u6cd5\u3092\u7528\u3044\u305f\u30d7\u30ed\u30b2\u30b9\u30c6\u30ed\u30f3\u53d7\u5bb9\u4f53\u6d3b\u6027\u5316\u7269\u8cea\u306e\u8b58\u5225\u4e88\u6e2c<\/strong>\uff1a\u677e\u5742\u606d\u6210<\/span>\u3001\u4f50\u3005\u6728\u4fca\u4e00<\/span>\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u7b2c47\u56de\u65e5\u672c\u6bd2\u6027\u5b66\u4f1a\u5b66\u8853\u5e74\u4f1a\uff08Web\u958b\u50ac\uff09\u30012020\/6<\/li>\n\n\n\n
                      22. \u533b\u85ac\u54c1\u306b\u3088\u308b\u6297\u30b3\u30ea\u30f3\u6027\u526f\u4f5c\u7528\u30b9\u30b3\u30a2\u306e\u4e88\u6e2c\u56e0\u5b50\u306e\u63a2\u7d22<\/strong>\uff1a\u6c38\u4e95\u7d14\u5b50<\/span>\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u7de9\u548c\u30fb\u652f\u6301\u30fb\u5fc3\u306e\u30b1\u30a2 \u5408\u540c\u5b66\u8853\u5927\u4f1a2020\uff08Web\u958b\u50ac\uff09\u30012020\/8<\/li>\n\n\n\n
                      23. \u30ab\u30eb\u30d0\u30de\u30bc\u30d4\u30f3\u3092\u2f64\u3044\u305f\u5171\u7d50\u6676\u5f62\u6210\u8b58\u5225\u30e2\u30c7\u30eb\u306e\u691c\u8a0e<\/strong>\uff1a\u8352\u5c45\u7396\u5fd7\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u6df1\u6c34\u5553\u6717\u3001\u7b2c64\u56de\u65e5\u672c\u85ac\u5b66\u4f1a\u95a2\u6771\u652f\u90e8\u5927\u4f1a\uff08Web\u958b\u50ac\uff09\u30012020\/9<\/li>\n\n\n\n
                      24. \u5206\u5b50\u753b\u50cf\u304b\u3089\u6bd2\u6027\u30fb\u85ac\u52b9\u3092\u4e88\u6e2c\u3059\u308b\u4eba\u5de5\u77e5\u80fd<\/strong><\/a>\uff1a\u690d\u6ca2\u82b3\u5e83<\/span>\u3001<\/em>\u30a4\u30ce\u30d9\u30fc\u30b7\u30e7\u30f3\u30b8\u30e3\u30d1\u30f32020\u5927\u5b66\u898b\u672c\u5e02Online\u30012020\/9<\/li>\n\n\n\n
                      25. \u5403\u9006\u3068\u30cb\u30b3\u30c1\u30f3\u306e\u95a2\u4fc2\uff5e\u4e16\u754c\u6700\u5927\u306e\u526f\u4f5c\u7528\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9 FEARS\u306e\u89e3\u6790\u7d50\u679c\uff5e<\/strong>\uff1a\u7d30\u8c37\u9f8d\u4e00\u90ce<\/span>\u3001\u65e5\u91ce\u6589\u4e00\u3001\u91ce\u6fa4\uff08\u77f3\u4e95\uff09\u73b2\u5b50\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u7b2c30\u56de\u65e5\u672c\u533b\u7642\u85ac\u5b66\u4f1a\u5e74\u4f1a\uff08Web\u958b\u50ac\uff09\u30012020\/10<\/li>\n\n\n\n
                      26. \u5927\u898f\u6a21\u526f\u4f5c\u7528\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9JADER\u306b\u57fa\u3065\u304f\u8133\u75c7\u8a98\u767a\u56e0\u5b50\u306e\u63a2\u7d22<\/strong>\uff1a\u702c\u5c71\u53cb\u9999\u3001\u7d30\u8c37\u9f8d\u4e00\u90ce<\/span>\u3001\u52a0\u85e4\u667a\u4e4b\u3001\u65e5\u91ce\u6589\u4e00\u3001\u7b2c30\u56de\u65e5\u672c\u533b\u7642\u85ac\u5b66\u4f1a\u5e74\u4f1a\uff08Web\u958b\u50ac\uff09\u30012020\/10<\/li>\n\n\n\n
                      27. JADER\u306b\u57fa\u3065\u304f\u85ac\u5264\u95a2\u9023\u984e\u9aa8\u58ca\u6b7b\u306e\u7db2\u7f85\u7684\u691c\u8a0e<\/strong>\uff1a\u9ce5\u6d77\u771f\u4e5f<\/span>\u3001\u5c0f\u6797\u660e\u4fe1\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u7b2c30\u56de\u65e5\u672c\u533b\u7642\u85ac\u5b66\u4f1a\u5e74\u4f1a\uff08Web\u958b\u50ac\uff09\u30012020\/10<\/li>\n\n\n\n
                      28. Evaluation of the expression profile of diarrhea induced by irinotecan using the Japanese Adverse drug event report database<\/strong>: Okunaka M<\/span>, CBI\u5b66\u4f1a2020\u5e74\u5927\u4f1a\uff08Web\u958b\u50ac\uff09, 2020\/10<\/li>\n\n\n\n
                      29. Prediction models of peroxisome proliferator-activated receptor-gamma through a deep learning-based QSAR analysis, DeepSnap<\/strong>: Matsuzaka Y<\/span>, CBI\u5b66\u4f1a2020\u5e74\u5927\u4f1a\uff08Web\u958b\u50ac\uff09, 2020\/10<\/li>\n\n\n\n
                      30. 6\u4f4d\u306b\u30e1\u30c8\u30ad\u30b7\u57fa\u3092\u6301\u3064 pericosine E \u8a98\u5c0e\u4f53\u306e\u5408\u6210\u7814\u7a76 \u65b0\u898f\u03b1-\u30b0\u30ea\u30b3\u30b7\u30c0\u30fc\u30bc\u963b\u5bb3\u5264\u306e\u5275\u88fd<\/strong>\uff1a\u795e\u5409\u771f\u7dd2\u3001\u6a0b\u53e3\u3000\u840c \u3001\u6c38\u4e95\u7d14\u5b50<\/span>\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u7c73\u5c71\u5f18\u6a39\u3001\u6625\u6ca2\u4fe1\u54c9\u3001\u5b87\u4f50\u7f8e\u5409\u82f1\u3001\u7b2c6\u56de\u95a2\u897f\u85ac\u5b66\u30b7\u30f3\u30dd\u30b8\u30a6\u30e0\uff1a\u5316\u5b66\u7cfb\u306e\u82e5\u3044\u529b\uff08Web\u958b\u50ac\uff09\u30012020\/10<\/li>\n\n\n\n
                      31. In silico \u624b\u6cd5\u3092\u7528\u3044\u305f DILI \u30ea\u30b9\u30af\u4e88\u6e2c\u30e2\u30c7\u30eb\u306e\u69cb\u7bc9\u306b\u3088\u308b\u85ac\u7269\u306e\u8a31\u5bb9\u6295\u4e0e\u91cf\u306e\u63d0\u5531<\/strong>\uff1a\u984d\u8cc0\u3000\u5de7\u3001\u7af9\u6751\u6643\u5178\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u4f0a\u85e4\u6643\u6210\u3001\u65e5\u672c\u52d5\u7269\u5b9f\u9a13\u4ee3\u66ff\u6cd5\u5b66\u4f1a \u7b2c33\u56de\u5927\u4f1a\uff08Web\u958b\u50ac\uff09\u30012020\/11<\/li>\n\n\n\n
                      32. \u5206\u5b50\u30b0\u30e9\u30d5\u3068\u5316\u5b66\u69cb\u9020\u8a18\u8ff0\u5b50\u3092\u7d44\u307f\u5408\u308f\u305b\u305f\u5909\u7570\u539f\u6027\u306eQSAR\u89e3\u6790<\/strong>\uff1a\u9ed2\ufa11\u5b8f\u592a<\/span>\u3001\u4f50\u3005\u6728\u4fca\u4e00\u3001\u677e\u5742\u606d\u6210<\/span>\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u7b2c43\u56de\u30b1\u30e2\u30a4\u30f3\u30d5\u30a9\u30de\u30c6\u30a3\u30af\u30b9\u8a0e\u8ad6\u4f1a\uff08Web\u958b\u50ac\uff09\u30012020\/12<\/li>\n<\/ol>\n<\/div><\/div>\n<\/div><\/div>\n\n\n\n
                        \n

                        2019<\/strong><\/h3>\n\n\n\n

                        \u30101\u3011\u56fd\u5185\u5b66\u4f1a<\/h4>\n\n\n\n
                        \n

                        \u4e00\u822c\u8b1b\u6f14\u30fb\u30dd\u30b9\u30bf\u30fc\u767a\u8868<\/p>\n\n\n\n

                          \n
                        1. \u5927\u898f\u6a21\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9\u306b\u57fa\u3065\u304f\u5927\u8178\u764c\u6cbb\u7642\u85ac\u306e\u526f\u4f5c\u7528\u4e88\u6e2c\u306b\u95a2\u3059\u308b\u7814\u7a76<\/strong>\uff1a\u5965\u4e2d\u771f\u767d<\/span>\u3001\u56fd\u7acb\u304c\u3093\u7814\u7a76\u30bb\u30f3\u30bf\u30fc\u85ac\u5264\u5e2b\u30ec\u30b8\u30c7\u30f3\u30c8\u5408\u540c\u5831\u544a\u4f1a\u30012019\/3\u3001\u6771\u4eac<\/li>\n\n\n\n
                        2. \u5316\u5b66\u69cb\u9020\u60c5\u5831\u306b\u57fa\u3065\u304f\u6838\u5185\u53d7\u5bb9\u4f53\u30fb\u30b9\u30c8\u30ec\u30b9\u5fdc\u7b54\u30d1\u30b9\u30a6\u30a7\u30a4\u30fb\u809d\u6bd2\u6027in silico\u4e88\u6e2c\u30b7\u30b9\u30c6\u30e0<\/strong>\uff1a\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u91ce\u53e3\u3000\u4fdd\u3001\u6c38\u4e95\u7d14\u5b50<\/span>\u3001\u7b2c12\u56de \u5275\u85ac\u652f\u63f4\u30a4\u30f3\u30d5\u30a9\u30de\u4f01\u696d\u9023\u643a\u5354\u8b70\u4f1a\u30012019\/3\u3001\u6771\u4eac<\/li>\n\n\n\n
                        3. \u7de9\u548c\u30b1\u30a2\u75c5\u68df\u306b\u304a\u3051\u308b\u305b\u3093\u5984\u767a\u75c7\u306b\u5f71\u97ff\u3059\u308b\u56e0\u5b50\u306e\u63a2\u7d22<\/strong>\uff1a\u4f50\u85e4\u7f8e\u6afb<\/span>\u3001\u4e2d\u6751\u8449\u6708<\/span>\u3001\u837b\u91ce\u745e\u7a42\u3001\u771e\u5bb6\u96c4\u4e5f<\/span>\u3001\u83c5\u91ce\u3000\u667a\u3001\u8352\u4e95\u3000\u9032\u3001\u7a32\u8449\u3000\u88d5\u3001\u6c38\u4e95\u7d14\u5b50<\/span>\u3001\u91ce\u6fa4\uff08\u77f3\u4e95\uff09\u73b2\u5b50\u3001\u52a0\u8cc0\u8c37\u8087\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u65e5\u672c\u85ac\u5b66\u4f1a\u7b2c139\u5e74\u4f1a\u30012019\/3\u3001\u5343\u8449<\/li>\n\n\n\n
                        4. \u5927\u898f\u6a21\u526f\u4f5c\u7528\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9FAERS \u306b\u57fa\u3065\u304f\u5403\u9006\u8a98\u767a\u56e0\u5b50\u306e\u63a2\u7d22<\/strong>\uff1a\u539f\u3000\u5eb7\u8cb4<\/span>\u3001\u7d30\u8c37\u9f8d\u4e00\u90ce<\/span>\u3001\u6c38\u4e95\u7d14\u5b50<\/span>\u3001\u91ce\u6fa4\uff08\u77f3\u4e95\uff09\u73b2\u5b50\u3001\u52a0\u8cc0\u8c37\u8087\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u65e5\u672c\u85ac\u5b66\u4f1a\u7b2c139\u5e74\u4f1a\u30012019\/3\u3001\u5343\u8449<\/li>\n\n\n\n
                        5. \u526f\u4f5c\u7528\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9JADER \u3092\u7528\u3044\u305f\u767a\u75b9\u3092\u8a98\u767a\u3059\u308b\u533b\u85ac\u54c1\u306e\u5316\u5b66\u69cb\u9020\u89e3\u6790<\/strong>\uff1a\u8352\u6728\u5343\u7a42<\/span>\u3001\u6c38\u4e95\u7d14\u5b50<\/span>\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u65e5\u672c\u85ac\u5b66\u4f1a\u7b2c139\u5e74\u4f1a\u30012019\/3\u3001\u5343\u8449<\/li>\n\n\n\n
                        6. \u53e3\u8154\u764c\u9078\u629e\u6bd2\u6027\u3092\u793a\u3059\u5316\u5408\u7269\u306e\u63a2\u7d22\u3092\u76ee\u7684\u3068\u3057\u305fQSAR \u4e88\u6e2c\u30e2\u30c7\u30eb\u306e\u69cb\u7bc9<\/strong>\uff1a\u4eca\u6751\u821e\u8863<\/span>\u3001\u6c38\u4e95\u7d14\u5b50<\/span>\u3001\u5742\u4e0a\u3000\u5b8f\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u65e5\u672c\u85ac\u5b66\u4f1a\u7b2c139\u5e74\u4f1a\u30012019\/3\u3001\u5343\u8449<\/li>\n\n\n\n
                        7. \u5927\u898f\u6a21\u526f\u4f5c\u7528\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9\u3092\u7528\u3044\u305f\u4e0b\u75e2\u8a98\u767a\u6027\u306b\u57fa\u3065\u304f\u6297\u60aa\u6027\u816b\u760d\u85ac\u306e\u5206\u985e\u3068QSAR \u4e88\u6e2c\u30e2\u30c7\u30eb\u306e\u69cb\u7bc9<\/strong>\uff1a\u5965\u5c71\u3000\u78a7<\/span>\u3001\u6c38\u4e95\u7d14\u5b50<\/span>\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u65e5\u672c\u85ac\u5b66\u4f1a\u7b2c139\u5e74\u4f1a\u30012019\/3\u3001\u5343\u8449<\/li>\n\n\n\n
                        8. \u8133\u795e\u7d4c\u75be\u60a3\u306b\u8d77\u56e0\u3057\u305f\u5403\u9006\u767a\u75c7\u56e0\u5b50\u306e\u89e3\u6790\u3068\u767a\u75c7\u4e88\u6e2c<\/strong>\uff1a\u5317\u91ce\u5186\u8535<\/span>\u3001\u7d30\u8c37\u9f8d\u4e00\u90ce<\/span>\u3001\u65e5\u91ce\u6589\u4e00\u3001\u7db2\u91ce\u731b\u5fd7\u3001\u938c\u7530\u667a\u5e78\u3001\u6c38\u4e95\u7d14\u5b50<\/span>\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u65e5\u672c\u85ac\u5b66\u4f1a\u7b2c139\u5e74\u4f1a\u30012019\/3\u3001\u5343\u8449<\/li>\n\n\n\n
                        9. \u5927\u898f\u6a21\u526f\u4f5c\u7528\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9\u304a\u3088\u3073\u5316\u5b66\u69cb\u9020\u60c5\u5831\u3092\u7528\u3044\u305f\u85ac\u5264\u6027\u98df\u6b32\u6e1b\u9000\u3092\u8a98\u767a\u3059\u308b\u85ac\u7269\u306e\u8b58\u5225<\/strong>\uff1a\u6728\u672c\u5343\u5c0b<\/span>\u3001\u6c38\u4e95\u7d14\u5b50<\/span>\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u65e5\u672c\u85ac\u5b66\u4f1a\u7b2c139\u5e74\u4f1a\u30012019\/3\u3001\u5343\u8449<\/li>\n\n\n\n
                        10. \u526f\u4f5c\u7528\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9\u3092\u7528\u3044\u305f\u5316\u5b66\u7269\u8cea\u904e\u654f\u75c7\u306b\u95a2\u3059\u308bQSAR \u89e3\u6790<\/strong>\uff1a\u5d0e\u91ce\u5fd7\u6b69<\/span>\u3001\u6c38\u4e95\u7d14\u5b50<\/span>\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u65e5\u672c\u85ac\u5b66\u4f1a\u7b2c139\u5e74\u4f1a\u30012019\/3\u3001\u5343\u8449<\/li>\n\n\n\n
                        11. \u5927\u898f\u6a21\u526f\u4f5c\u7528\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9\u306b\u57fa\u3065\u304f\u814e\u708e\u8a98\u767a\u5316\u5408\u7269\u306eQSAR \u89e3\u6790<\/strong>\uff1a\u4e2d\u91ce\u6b66\u6a39<\/span>\u3001\u6c38\u4e95\u7d14\u5b50<\/span>\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u65e5\u672c\u85ac\u5b66\u4f1a\u7b2c139\u5e74\u4f1a\u30012019\/3\u3001\u5343\u8449<\/li>\n\n\n\n
                        12. \u526f\u4f5c\u7528\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9\u304a\u3088\u3073\u5316\u5b66\u69cb\u9020\u60c5\u5831\u306b\u57fa\u3065\u304f\u5b50\u5bae\u764c\u8a98\u767a\u85ac\u7269\u8b58\u5225\u30e2\u30c7\u30eb\u306e\u69cb\u7bc9<\/strong>\uff1a\u91d1\u5cf6\u6620\u5b9f<\/span>\u3001\u6c38\u4e95\u7d14\u5b50<\/span>\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u65e5\u672c\u85ac\u5b66\u4f1a\u7b2c139\u5e74\u4f1a\u30012019\/3\u3001\u5343\u8449<\/li>\n\n\n\n
                        13. \u533b\u85ac\u54c1\u526f\u4f5c\u7528\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9JADER \u3092\u7528\u3044\u305f\u6297\u4f53\u533b\u85ac\u54c1\u306einfusion reaction \u767a\u73fe\u30ea\u30b9\u30af\u306e\u89e3\u6790<\/strong>\uff1a\u6751\u5c71\u821e\u82b1<\/span>\u3001\u6c38\u4e95\u7d14\u5b50<\/span>\u3001\u6749\u539f\u3000\u7a14\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u65e5\u672c\u85ac\u5b66\u4f1a\u7b2c139\u5e74\u4f1a\u30012019\/3\u3001\u5343\u8449<\/li>\n\n\n\n
                        14. H-NMR \u30e1\u30bf\u30dc\u30ed\u30df\u30af\u30b9\u3092\u7528\u3044\u305f\u30c0\u30a4\u30aa\u30a6\u306e\u6210\u4ebaT\u7d30\u80de\u767d\u8840\u75c5(ATL) \u7d30\u80de\u5897\u6b96\u963b\u5bb3\u6d3b\u6027\u8a55\u4fa1<\/strong>\uff1a\u732a\u539f\u7f8e\u54b2\u3001\u53e4\u91cc\u3000\u5de7\u3001\u7532\u6590\u4e45\u535a\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u9234\u6728\u9f8d\u4e00\u90ce\u3001\u91ce\u5d0e\u9999\u6a39\u3001\u677e\u5ca1\u53f2\u90ce\u3001\u68ee\u4e0b\u548c\u5e83\u3001\u5ca1\u7530\u5609\u4ec1\u3001\u677e\u91ce\u5eb7\u4e8c\u3001\u65e5\u672c\u85ac\u5b66\u4f1a\u7b2c139\u5e74\u4f1a\u30012019\/3\u3001\u5343\u8449<\/li>\n\n\n\n
                        15. \uff2e\uff2d\uff32\u30e1\u30bf\u30dc\u30ed\u30df\u30af\u30b9\u3092\u6d3b\u7528\u3057\u305f\u6210\u4ebaT \u7d30\u80de\u767d\u8840\u75c5\uff08ATL\uff09\u7d30\u80de\u5897\u6b96\u6291\u5236\u6d3b\u6027\u3092\u6301\u3064\u30de\u30aa\u30a6\u306e\u7a2e\u306e\u5224\u5225<\/strong>\uff1a\u53e4\u91cc\u3000\u5de7\u3001\u732a\u539f\u7f8e\u54b2\u3001\u7532\u6590\u4e45\u535a\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u9234\u6728\u9f8d\u4e00\u90ce\u3001\u91ce\u5d0e\u9999\u6a39\u3001\u677e\u5ca1\u53f2\u90ce\u3001\u68ee\u4e0b\u548c\u5e83\u3001\u5ca1\u7530\u5609\u4ec1\u3001\u677e\u91ce\u5eb7\u4e8c\u3001\u65e5\u672c\u85ac\u5b66\u4f1a\u7b2c139\u5e74\u4f1a\u30012019\/3\u3001\u5343\u8449<\/li>\n\n\n\n
                        16. \u85ac\u6027\u306b\u7740\u76ee\u3057\u305f\u6f22\u65b9\u30a8\u30ad\u30b9\u88fd\u5264\u306e\u4e3b\u6210\u5206\u5206\u6790<\/strong>\uff1a\u8429\u539f\u8061\u7f8e\u3001\u539f\u5d8b\u3000\u8475\u3001\u798f\u7530\u679d\u91cc\u5b50\u3001\u99ac\u5834\u6b63\u6a39\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u7532\u6590\u4e45\u535a\u3001\u677e\u91ce\u5eb7\u4e8c\u3001\u77e2\u4e45\u4fdd\u4fee\u55e3\u3001\u65e5\u672c\u85ac\u5b66\u4f1a\u7b2c139\u5e74\u4f1a\u30012019\/3\u3001\u5343\u8449<\/li>\n\n\n\n
                        17. \u5927\u898f\u6a21\u526f\u4f5c\u7528\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9\u306b\u57fa\u3065\u304f\u5927\u8178\u764c\u6cbb\u7642\u85ac\u306e\u526f\u4f5c\u7528\u4e88\u6e2c\u306b\u95a2\u3059\u308b\u7814\u7a76<\/strong>\uff1a\u5965\u4e2d\u771f\u767d<\/span>\u3001\u52a0\u7d0d\u5927\u8f14\u3001\u5ddd\ufa11\u654f\u514b\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u7b2c11\u56de\u65e5\u672c\u304c\u3093\u85ac\u5264\u5b66\u4f1a\u5b66\u8853\u5927\u4f1a\u30012019\/5\u3001\u6771\u4eac<\/li>\n\n\n\n
                        18. \u526f\u4f5c\u7528\u81ea\u767a\u5831\u544a\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9\u304a\u3088\u3073\u85ac\u7269\u306e\u7269\u7406\u5316\u5b66\u7684\u7279\u5fb4\u91cf\u306b\u3088\u308b\u53e3\u5185\u708e\u767a\u73fe\u306e\u5b9a\u91cf\u7684\u8a55\u4fa1<\/strong>\uff1a\u6c38\u4e95\u7d14\u5b50<\/span>\u3001\u67d3\u8c37\u5f69\u82b1\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u7b2c13\u56de\u65e5\u672c\u7de9\u548c\u533b\u7642\u85ac\u5b66\u4f1a\u5e74\u4f1a\u30012019\/6\u3001\u5343\u8449<\/li>\n\n\n\n
                        19. \u7de9\u548c\u533b\u7642\u9818\u57df\u306b\u304a\u3051\u308b\u305b\u3093\u5984\u8a98\u767a\u8981\u56e0\u306e\u95a2\u9023\u6027\u306b\u95a2\u3059\u308b\u8abf\u67fb\u30fb\u7814\u7a76( \u7b2c4 \u5831)<\/strong>\uff1a\u76f8\u6ca2\u5065\u592a\u3001\u83c5\u91ce\u3000\u667a\u3001\u6c38\u4e95\u7d14\u5b50<\/span>\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u8352\u4e95\u3000\u9032\u3001\u7a32\u8449\u3000\u88d5\u3001\u52a0\u8cc0\u8c37\u8087\u3001\u91ce\u6fa4\uff08\u77f3\u4e95\uff09\u73b2\u5b50\u3001\u7b2c13\u56de\u65e5\u672c\u7de9\u548c\u533b\u7642\u85ac\u5b66\u4f1a\u5e74\u4f1a\u30012019\/6\u3001\u5343\u8449<\/li>\n\n\n\n
                        20. \u5869\u7d20\u539f\u5b50\u6b20\u640d\u578bpericosine E\u985e\u7e01\u4f53\u306e\u5408\u6210<\/strong>\uff1a\u6a0b\u53e3\u3000\u840c\u3001\u795e\u5409\u771f\u7dd2\u3001\u5c71\u672c\u745e\u5b63\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u6c38\u4e95\u7d14\u5b50<\/span>\u3001\u7c73\u5c71\u5f18\u6a39\u3001\u6625\u6ca2\u4fe1\u54c9\u3001\u5b87\u4f50\u7f8e\u5409\u82f1\u3001\u5275\u85ac\u61c7\u8a71\u4f1a2019 in \u79cb\u4fdd\u30012019\/6\u3001\u4ed9\u53f0<\/li>\n\n\n\n
                        21. \u30aa\u30f3\u30c8\u30ed\u30b8\u30fc\u306b\u57fa\u3065\u304f\u809d\u6bd2\u6027\u6a5f\u5e8f\u89e3\u91c8\u652f\u63f4\u77e5\u8b58\u30b7\u30b9\u30c6\u30e0\u306e\u958b\u767a<\/strong>\uff1a\u5c71\u7e23\u53cb\u7d00\u3001\u4e94\u5341\u5d50\u82b3\u66a2\u3001\u4e2d\u6d25\u5247\u4e4b\u3001\u5800\u672c\u52dd\u4e45\u3001\u798f\u4e95\u4e00\u5f66\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u5c71\u7530\u3000\u5f18\u3001\u7b2c46\u56de\u65e5\u672c\u6bd2\u6027\u5b66\u4f1a\u5b66\u8853\u5e74\u4f1a\u30012019\/6\u3001\u5fb3\u5cf6<\/li>\n\n\n\n
                        22. \u809d\u6bd2\u6027\u30a4\u30f3\u30d5\u30a9\u30de\u30c6\u30a3\u30af\u30b9\u30b7\u30b9\u30c6\u30e0\u306e\u69cb\u7bc9\uff08AMED\u30d7\u30ed\u30b8\u30a7\u30af\u30c8\uff09<\/strong>\uff1a\u5c71\u7530\u3000\u5f18\u3001\u4e94\u5341\u5d50\u82b3\u66a2\u3001\u4e2d\u6d25\u5247\u4e4b\u3001\u5c71\u7e23\u53cb\u7d00\u3001\u79cb\u4e38\u88d5\u53f8\u3001\u79cb\u4e38\u6075\u7406\u4f73\u3001\u5800\u672c\u52dd\u4e45\u3001\u798f\u4e95\u4e00\u5f66\u3001\u6c5f\u826f\u629e\u5b9f\u3001\u6cbc\u5ddd\u5fe0\u5e83\u3001\u677e\u672c\u5fd7\u90ce\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u6c38\u4e95\u7d14\u5b50<\/span>\u3001\u91ce\u53e3\u3000\u4fdd\u3001\u7b2c46\u56de\u65e5\u672c\u6bd2\u6027\u5b66\u4f1a\u5b66\u8853\u5e74\u4f1a\u30012019\/6\u3001\u5fb3\u5cf6<\/li>\n\n\n\n
                        23. \u30d2\u30c8\u521d\u4ee3\u57f9\u990a\u809d\u7d30\u80de\u306e\u907a\u4f1d\u5b50\u767a\u73fe\u30d7\u30ed\u30d5\u30a1\u30a4\u30eb\u3092\u7528\u3044\u305f\u809d\u6bd2\u6027\u4e88\u6e2c\u30b7\u30b9\u30c6\u30e0\u306e\u69cb\u7bc9<\/strong>\uff1a\u4e94\u5341\u5d50\u82b3\u66a2\u3001\u5c71\u7e23\u53cb\u7d00\u3001\u4e2d\u6d25\u5247\u4e4b\u3001\u5800\u672c\u52dd\u4e45\u3001\u798f\u4e95\u4e00\u5f66\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u5c71\u7530\u3000\u5f18\u3001\u7b2c46\u56de\u65e5\u672c\u6bd2\u6027\u5b66\u4f1a\u5b66\u8853\u5e74\u4f1a\u30012019\/6\u3001\u5fb3\u5cf6<\/li>\n\n\n\n
                        24. \u6709\u5bb3\u6027\u767a\u73fe\u7d4c\u8def\u60c5\u5831\u3092\u7528\u3044\u305f\u5316\u5b66\u69cb\u9020\u304b\u3089\u306e\u809d\u6bd2\u6027\u4e88\u6e2c<\/strong>\uff1a\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u7b2c1\u56de \u30d5\u30a1\u30fc\u30de\u30e9\u30dc EXPO \uff0d[\u533b\u85ac\u54c1] \u7814\u7a76\u958b\u767a \u5c55\uff0d\u30012019\/7\u3001\u6771\u4eac<\/li>\n\n\n\n
                        25. QSAR\/in vitro\u304b\u3089\u306e\u85ac\u7269\u6027\u809d\u969c\u5bb3\u4e88\u6e2c\u306b\u5411\u3051\u305f\u53d6\u308a\u7d44\u307f<\/strong>\uff1a\u9060\u85e4\u7950\u4f73\u3001\u984d\u8cc0\u3000\u5de7\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u4f0a\u85e4\u6643\u6210\u3001\u7b2c63\u56de\u65e5\u672c\u85ac\u5b66\u4f1a\u95a2\u6771\u652f\u90e8\u5927\u4f1a\u30012019\/9\u3001\u6771\u4eac<\/li>\n\n\n\n
                        26. \u5171\u7d50\u6676\u306e\u63a2\u7d22\u30b9\u30af\u30ea\u30fc\u30cb\u30f3\u30b0\u306b\u304a\u3051\u308b\u6e2c\u5b9a\u30c7\u30fc\u30bf\u306e\u7d71\u8a08\u89e3\u6790<\/strong>\uff1a\u8352\u5c45\u7396\u5fd7\u3001\u6d25\u91ce\u76f4\u54c9\u3001\u5c0f\u5c71\u907c\u592a\u6717\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u6df1\u6c34\u5553\u6717\u3001\u7b2c63\u56de\u65e5\u672c\u85ac\u5b66\u4f1a\u95a2\u6771\u652f\u90e8\u5927\u4f1a\u30012019\/9\u3001\u6771\u4eac<\/li>\n\n\n\n
                        27. Use of 13C-NMR Chemical Shift<\/strong>: \u5ca1\u7530\u5609\u4ec1, \u9234\u6728\u9f8d\u4e00\u90ce, \u690d\u6ca2\u82b3\u5e83<\/span>, \u5800\u5ddd\u7422\u5fc3, \u5ca1\u90e8\u3000\u552f, \u6cb9\u7530\u6b63\u6a39, \u9ad8\u6a4b\u90a6\u592b, \u6728\u4e0b\u3000\u85ab, \u65e5\u672c\u751f\u85ac\u5b66\u4f1a\u7b2c66\u56de\u5e74\u4f1a, 2019\/9, \u6771\u4eac<\/li>\n\n\n\n
                        28. NMR\u30e1\u30bf\u30dc\u30ed\u30df\u30af\u30b9\u3092\u6d3b\u7528\u3057\u305f\u30de\u30aa\u30a6\u306e\u6210\u4ebaT\u7d30\u80de\u767d\u8840\u75c5\u7d30\u80de\u5897\u6b96\u6291\u5236\u6d3b\u6027\u4e88\u6e2c\u30e2\u30c7\u30eb\u306e\u691c\u8a3c<\/strong>\uff1a\u7532\u6590\u4e45\u535a\u3001\u771e\u7389\u512a\u91cc\u5948\u3001\u7dd2\u65b9\u7fd4\u5b50\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u9234\u6728\u9f8d\u4e00\u90ce\u3001\u91ce\u5d0e\u9999\u6a39\u3001\u677e\u5ca1\u53f2\u90ce\u3001\u68ee\u4e0b\u548c\u5e83\u3001\u5ca1\u7530\u5609\u4ec1\u3001\u6728\u6751\u535a\u662d\u3001\u677e\u91ce\u5eb7\u4e8c\u3001\u65e5\u672c\u751f\u85ac\u5b66\u4f1a\u7b2c66\u56de\u5e74\u4f1a\u30012019\/9\u3001\u6771\u4eac<\/li>\n\n\n\n
                        29. \u809d\u6bd2\u6027\u30a4\u30f3\u30d5\u30a9\u30de\u30c6\u30a3\u30af\u30b9\u30b7\u30b9\u30c6\u30e0\u306e\u69cb\u7bc9\uff08AMED\u30d7\u30ed\u30b8\u30a7\u30af\u30c8\uff09<\/strong>\uff1a\u5c71\u7530\u3000\u5f18\u3001\u4e94\u5341\u5d50\u82b3\u66a2\u3001\u4e2d\u6d25\u5247\u4e4b\u3001\u5c71\u7e23\u53cb\u7d00\u3001\u79cb\u4e38\u88d5\u53f8\u3001\u79cb\u4e38\u6075\u7406\u4f73\u3001\u5800\u672c\u52dd\u4e45\u3001\u798f\u4e95\u4e00\u5f66\u3001\u6c5f\u826f\u629e\u5b9f\u3001\u6cbc\u5ddd\u5fe0\u5e83\u3001\u677e\u672c\u5fd7\u90ce\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u6c38\u4e95\u7d14\u5b50<\/span>\u3001\u91ce\u53e3\u3000\u4fdd\u3001\u30c8\u30fc\u30b4\u30fc\u306e\u65e5\u30b7\u30f3\u30dd\u30b8\u30a6\u30e02019\u30012019\/10\u3001\u6771\u4eac<\/li>\n\n\n\n
                        30. \u809d\u6bd2\u6027\u6a5f\u5e8f\u89e3\u91c8\u652f\u63f4\u3092\u76ee\u6307\u3057\u305f\u6bd2\u6027\u30d7\u30ed\u30bb\u30b9\u30aa\u30f3\u30c8\u30ed\u30b8\u30fc\u958b\u767a\u3068\u305d\u306e\u5fdc\u7528<\/strong>\uff1a\u5c71\u7e23\u53cb\u7d00\u3001\u4e94\u5341\u5d50\u82b3\u66a2\u3001\u4e2d\u6d25\u5247\u4e4b\u3001\u5800\u672c\u52dd\u4e45\u3001\u798f\u4e95\u4e00\u5f66\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u5c71\u7530\u3000\u5f18\u3001\u30c8\u30fc\u30b4\u30fc\u306e\u65e5\u30b7\u30f3\u30dd\u30b8\u30a6\u30e02019\u30012019\/10\u3001\u6771\u4eac<\/li>\n\n\n\n
                        31. \u767a\u73fe\u30d7\u30ed\u30d5\u30a1\u30a4\u30eb\u3092\u7528\u3044\u305f\u809d\u6bd2\u6027in vivo\/vitro\u30d6\u30ea\u30c3\u30b8\u3068\u985e\u4f3c\u6027\u691c\u7d22\uff1atoxBridge and toxRank<\/strong>\uff1a\u798f\u4e95\u4e00\u5f66\u3001\u4e94\u5341\u5d50\u82b3\u66a2\u3001\u5c71\u7e23\u53cb\u7d00\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u5c71\u7530\u3000\u5f18\u3001\u5800\u672c\u52dd\u4e45\u3001\u30c8\u30fc\u30b4\u30fc\u306e\u65e5\u30b7\u30f3\u30dd\u30b8\u30a6\u30e02019\u30012019\/10\u3001\u6771\u4eac<\/li>\n\n\n\n
                        32. \u5316\u5b66\u69cb\u9020\u60c5\u5831\u306b\u57fa\u3065\u304f\u809d\u6bd2\u6027\u4e88\u6e2c\u30b7\u30b9\u30c6\u30e0\u306e\u69cb\u7bc9\u306b\u95a2\u3059\u308b\u7814\u7a76<\/strong>\uff1a\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u91ce\u53e3\u3000\u4fdd\u3001\u6c38\u4e95\u7d14\u5b50<\/span>\u3001BioJapan 2019\u30012019\/10\u3001\u795e\u5948\u5ddd<\/li>\n\n\n\n
                        33. \u5869\u7d20\u6b20\u640d\u578bpericosine E\u8a98\u5c0e\u4f53\u306e\u5408\u6210\u3068\u30b0\u30ea\u30b3\u30b7\u30c0\u30fc\u30bc\u6d3b\u6027\u8a55\u4fa1<\/strong>\uff1a\u6a0b\u53e3\u3000\u840c\u3001\u795e\u5409\u771f\u7dd2\u3001\u5c71\u672c\u745e\u5b63\u3001\u6e9d\u6e15\u6176\u4e43\u3001\u829d\u91ce\u771e\u559c\u96c4\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u6c38\u4e95\u7d14\u5b50<\/span>\u3001\u7c73\u5c71\u5f18\u6a39\u3001\u6625\u6ca2\u4fe1\u54c9\u3001\u5b87\u4f50\u7f8e\u5409\u82f1\u3001\u7b2c69\u56de\u65e5\u672c\u85ac\u5b66\u4f1a\u95a2\u897f\u652f\u90e8\u7dcf\u4f1a\u30fb\u5927\u4f1a\u30012019\/10\u3001\u5175\u5eab<\/li>\n\n\n\n
                        34. 2-Arylazoylchromones\u30682-triazolylchromones\u306e\u5b9a\u91cf\u7684\u69cb\u9020\u2010\u7d30\u80de\u50b7\u5bb3\u6027\u76f8\u95a2\u89e3\u6790<\/strong>\uff1a\u6c38\u4e95\u7d14\u5b50<\/span>\u3001\u53f2\u3000\u6d77\u971e\u3001\u702c\u5d0e\u590f\u5b50\u3001\u5409\u7530\u5948\u592e\u3001\u5742\u6771\u5065\u4e8c\u90ce\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u5742\u4e0a\u3000\u5b8f\u3001\u53cb\u6751\u7f8e\u6839\u5b50\u3001\u53cb\u6751\u660e\u4eba\u3001\u9ad8\u5c3e\u6d69\u4e00\u3001\u6749\u7530\u7fa9\u662d\u3001\u7b2c141\u56de\u65e5\u672c\u85ac\u7406\u5b66\u4f1a\u95a2\u6771\u90e8\u4f1a\u30012019\/10\u3001\u6771\u4eac<\/li>\n\n\n\n
                        35. 2-\u30b9\u30c1\u30ea\u30eb\u30af\u30ed\u30e2\u30f3\u8a98\u5c0e\u4f53\u306e\u5b9a\u91cf\u7684\u69cb\u9020\u2010\u7d30\u80de\u50b7\u5bb3\u6027\u76f8\u95a2\u89e3\u6790<\/strong>\uff1a\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u6c38\u4e95\u7d14\u5b50<\/span>\u3001\u53f2\u3000\u6d77\u971e\u3001\u5742\u4e0a\u3000\u5b8f\u3001\u53cb\u6751\u7f8e\u6839\u5b50\u3001\u53cb\u6751\u660e\u4eba\u3001\u5742\u6771\u5065\u4e8c\u90ce\u3001\u9060\u85e4\u65e9\u7d00\u3001\u9ad8\u5c3e\u6d69\u4e00\u3001\u6749\u7530\u7fa9\u662d\u3001\u7b2c141\u56de\u65e5\u672c\u85ac\u7406\u5b66\u4f1a\u95a2\u6771\u90e8\u4f1a\u30012019\/10\u3001\u6771\u4eac<\/li>\n\n\n\n
                        36. High-performance predication model utilizing a novel deep learning-based QSAR analysis using deep snap and the Tox 21 10k library<\/strong>: Matsuzaka Y<\/span>, Uesawa Y<\/span>, CBI\u5b66\u4f1a2019\u5e74\u5927\u4f1a, 2019\/10, \u6771\u4eac<\/li>\n\n\n\n
                        37. Meta-modeling for optimization in QSAR modeling processes and application to estrogen receptor<\/strong> agonist activity prediction<\/strong>: Kurosaki K<\/span>, Uesawa Y<\/span>, CBI\u5b66\u4f1a2019\u5e74\u5927\u4f1a, 2019\/10, \u6771\u4eac<\/li>\n\n\n\n
                        38. Study on adverse outcome pathways related to drug-induced rhabdomyolysis using machine learning<\/strong>: Sasaki S<\/span>, Uesawa Y<\/span>, CBI\u5b66\u4f1a2019\u5e74\u5927\u4f1a, 2019\/10, \u6771\u4eac<\/li>\n\n\n\n
                        39. Development status of ABINIT-MP program in 2019<\/strong>: Yamada H, Igarashi Y, Nakatsu N, Yamagata Y, Akimura H, Akimura E, Horimoto K, Fukui K, Era T, Numakawa T, Matsumoto S, Uesawa Y<\/span>, Nagai J<\/span>, Noguchi T, CBI\u5b66\u4f1a2019\u5e74\u5927\u4f1a, 2019\/10, \u6771\u4eac<\/li>\n\n\n\n
                        40. Ontology-based toxic process interpretable knowledge system for drug-induced liver injury<\/strong>: Yamagata Y, Igarashi Y, Nakatsu N, Horimoto K, Fukui K, Uesawa Y<\/span>, Yamada H, CBI\u5b66\u4f1a2019\u5e74\u5927\u4f1a, 2019\/10, \u6771\u4eac<\/li>\n\n\n\n
                        41. \u5b89\u5168\u6027\u4fdd\u8a3c\u3092\u898b\u636e\u3048\u305f\u6a5f\u68b0\u5b66\u7fd2\u306b\u3088\u308b\u5316\u7ca7\u54c1\u7d20\u6750\u306e\u8b58\u5225<\/strong>\uff1a\u5409\u7530\u5149\u8f1d\u3001\u95a2\u6839\u3000\u79c0\u3001\u4e45\u6728\u53cb\u82b1\u3001\u984d\u8cc0\u3000\u5de7\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u4e0a\u6708\u3000\u88d5\u3001\u65e5\u672c\u52d5\u7269\u5b9f\u9a13\u4ee3\u66ff\u6cd5\u5b66\u4f1a\u3000\u7b2c32\u56de\u5927\u4f1a\u30012019\/11\u3001\u8328\u57ce<\/li>\n\n\n\n
                        42. \u5909\u7570\u539f\u6027\u304a\u3088\u3073\u6709\u5bb3\u6027\u767a\u73fe\u7d4c\u8def\u306b\u57fa\u3065\u304f\u809d\u304c\u3093\u8a98\u767a\u85ac\u7269\u306e\u7279\u5fb4\u89e3\u6790<\/strong>\uff1a\u9ed2\ufa11\u5b8f\u592a<\/span>\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u7b2c47\u56de\u69cb\u9020\u6d3b\u6027\u76f8\u95a2\u30b7\u30f3\u30dd\u30b8\u30a6\u30e0\u30012019\/12\u3001\u718a\u672c<\/li>\n<\/ol>\n<\/div><\/div>\n\n\n\n
                          <\/div><\/div>\n\n\n\n

                          \u30102\u3011\u56fd\u969b\u5b66\u4f1a<\/h4>\n\n\n\n
                          \n

                          \u4e00\u822c\u8b1b\u6f14\u30fb\u30dd\u30b9\u30bf\u30fc\u767a\u8868<\/p>\n\n\n\n

                            \n
                          1. Direct injection-electron ionization-mass apectrometry and NMR metabolomics nethod for analyzing rhubarb species that inhibit adult T-cell leukemia proliferation:<\/strong> Kai H, Inohara M, Furusato T, Kashima Y, Naka Y,Uesawa Y<\/span>, Nozaki K, Matsuoka S, Morishita K, Okada Y, Matsuno K, Kimura H,67th International Congress and Annual Meeting of the Society for Medicinal Plant and Natural Product Research, 2019\/9, Austria<\/li>\n\n\n\n
                          2. Toxicity \/ adverse effect predictions based on computational toxicology techniques and large-scale databases<\/strong>: Uesawa Y<\/span>, Eurotox 2019 55th Congress of the European Societies of Toxicology, 2019\/9, Finland<\/li>\n\n\n\n
                          3. Predicting blood-to-plasma concentration ratios of drugs from the chemical structures and volumes of distribution in humans<\/strong>: Mamada H<\/span>, Kobayashi S, Nomura Y, Kogayu M, Uesawa Y<\/span>,Global Pharma R&D Informatics and AI Congress 2019, 2019\/10, UK<\/li>\n<\/ol>\n<\/div><\/div>\n<\/div><\/div>\n\n\n\n
                            \n

                            2018<\/strong><\/h3>\n\n\n\n

                            \u30101\u3011\u56fd\u5185\u5b66\u4f1a<\/h4>\n\n\n\n
                            \n

                            \u4e00\u822c\u8b1b\u6f14\u30fb\u30dd\u30b9\u30bf\u30fc\u767a\u8868<\/p>\n\n\n\n

                              \n
                            1. NMR\u30e1\u30bf\u30dc\u30ed\u30df\u30af\u30b9\u306b\u3088\u308b\u6d77\u85fb\u306e\u4ee3\u8b1d\u7523\u7269\u89e3\u6790<\/strong>\uff1a\u5bae\u91ce\u6843\u5b50\u3001\u677e\u539f\u8003\u5b8f\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u9234\u6728\u9f8d\u4e00\u90ce\u3001\u5409\u7a4d\u4e00\u771f\u3001\u5ca1\u7530\u5609\u4ec1\u3001\u767d\u7027\u7fa9\u660e\u3001\u65e5\u672c\u85ac\u5b66\u4f1a\u7b2c138\u5e74\u4f1a\u30012018\/3\u3001\u91d1\u6ca2<\/li>\n\n\n\n
                            2. NMR\u30e1\u30bf\u30dc\u30ed\u30df\u30af\u30b9\u3092\u6d3b\u7528\u3057\u305f\u6210\u4eba<\/strong>T <\/strong>\u7d30\u80de\u767d\u8840\u75c5<\/strong>(ATL)<\/strong>\u7d30\u80de\u5897\u6b96\u6291\u5236\u6d3b\u6027\u306e\u4e88\u6e2c\u30e2\u30c7\u30eb<\/strong>\uff1a\u7532\u6590\u4e45\u535a\u3001\u9577\u53cb\u5fd7\u5e06\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u9234\u6728\u9f8d\u4e00\u90ce\u3001\u570b\u6b66\u4e45\u767b\u3001\u68ee\u4e0b\u548c\u5e83\u3001\u5ca1\u7530\u5609\u4ec1\u3001\u677e\u91ce\u5eb7\u4e8c\u3001\u65e5\u672c\u85ac\u5b66\u4f1a\u7b2c138\u5e74\u4f1a\u30012018\/3\u3001\u91d1\u6ca2<\/li>\n\n\n\n
                            3. \u8133\u795e\u7d4c\u75be\u60a3\u306b\u8d77\u56e0\u3057\u305f\u5403\u9006\u95a2\u9023\u56e0\u5b50\u306b\u95a2\u3059\u308b\u8abf\u67fb\u7814\u7a76<\/strong>\uff1a\u539f\u3000\u5eb7\u8cb4<\/span>\u3001\u7d30\u8c37\u9f8d\u4e00\u90ce<\/span>\u3001\u91ce\u6fa4\uff08\u77f3\u4e95\uff09\u73b2\u5b50\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u7530\u4e2d\u4e00\u5e73\u3001\u65e5\u91ce\u6589\u4e00\u3001\u52a0\u8cc0\u8c37\u8087\u3001\u65e5\u672c\u85ac\u5b66\u4f1a\u7b2c138\u5e74\u4f1a\u30012018\/3\u3001\u91d1\u6ca2<\/li>\n\n\n\n
                            4. \u5316\u5b66\u7642\u6cd5\u306b\u95a2\u9023\u3057\u305f\u5403\u9006\u8a98\u767a\u56e0\u5b50\u306e\u63a2\u7d22<\/strong>\uff1a\u5317\u5cf6\u5065\u58eb<\/span>\u3001\u7d30\u8c37\u9f8d\u4e00\u90ce<\/span>\u3001\u91ce\u6fa4\uff08\u77f3\u4e95\uff09\u73b2\u5b50\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u7530\u4e2d\u4e00\u5e73\u3001\u65e5\u91ce\u6589\u4e00\u3001\u65e5\u672c\u85ac\u5b66\u4f1a\u7b2c138\u5e74\u4f1a\u30012018\/3\u3001\u91d1\u6ca2<\/li>\n\n\n\n
                            5. \u7de9\u548c\u533b\u7642\u9818\u57df\u306b\u304a\u3051\u308b\u305b\u3093\u5984\u8a98\u767a\u56e0\u5b50\u306e\u63a2\u7d22\uff08\u7b2c3\u5831\uff09<\/strong>\uff1a\u4e2d\u6751\u8449\u6708<\/span>\u3001\u4f50\u85e4\u7f8e\u6afb<\/span>\u3001\u83c5\u91ce\u3000\u667a\u3001\u91ce\u6fa4\uff08\u77f3\u4e95\uff09\u73b2\u5b50\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u6751\u4e0a\u771f\u57fa\u3001\u8352\u4e95\u3000\u9032\u3001\u7a32\u8449\u3000\u88d5\u3001\u52a0\u8cc0\u8c37\u8087\u3001\u65e5\u672c\u85ac\u5b66\u4f1a\u7b2c138\u5e74\u4f1a\u30012018\/3\u3001\u91d1\u6ca2<\/li>\n\n\n\n
                            6. \u533b\u85ac\u54c1\u526f\u4f5c\u7528\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9\u3092\u7528\u3044\u305f\u85ac\u5264\u6027\u4fbf\u79d8\u985e\u4f3c\u75be\u60a3\u306e\u5206\u985e\u8a55\u4fa1<\/strong>\uff1a\u5c0f\u6d25\u5409\u6cf0<\/span>\u3001\u52a0\u8cc0\u8c37\u8087\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u65e5\u672c\u85ac\u5b66\u4f1a\u7b2c138\u5e74\u4f1a\u30012018\/3\u3001\u91d1\u6ca2<\/li>\n\n\n\n
                            7. \u526f\u4f5c\u7528\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9JADER\u3092\u7528\u3044\u305f\u85ac\u5264\u6027\u305b\u3093\u5984\u306b\u95a2\u3059\u308b\u5316\u5b66\u69cb\u9020\u60c5\u5831\u89e3\u6790<\/strong>\uff1a\u702c\u7530\u512a\u9999<\/span>\u3001\u52a0\u8cc0\u8c37\u8087\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u65e5\u672c\u85ac\u5b66\u4f1a\u7b2c138\u5e74\u4f1a\u30012018\/3\u3001\u91d1\u6ca2<\/li>\n\n\n\n
                            8. \u5927\u898f\u6a21\u533b\u85ac\u54c1\u526f\u4f5c\u7528\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9\u3092\u7528\u3044\u305f\u85ac\u7269\u6027\u809d\u969c\u5bb3\u3068\u6295\u4e0e\u91cf\u306e\u95a2\u4fc2\u306e\u89e3\u6790<\/strong>\uff1a\u4eca\u7530\u52c7\u8f1d<\/span>\u3001\u52a0\u8cc0\u8c37\u8087\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u65e5\u672c\u85ac\u5b66\u4f1a\u7b2c138\u5e74\u4f1a\u30012018\/3\u3001\u91d1\u6ca2<\/li>\n\n\n\n
                            9. \u533b\u85ac\u54c1\u526f\u4f5c\u7528\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9JADER\u3092\u7528\u3044\u305f\u975e\u5fc3\u539f\u6027\u80ba\u6c34\u816b\u3092\u60f9\u8d77\u3059\u308b\u533b\u85ac\u54c1\u306e\u5316\u5b66\u69cb\u9020\u7684\u7279\u5fb4\u306e\u89e3\u6790<\/strong>\uff1a\u8fb0\u5e83\u552f\u83dc<\/span>\u3001\u52a0\u8cc0\u8c37\u8087\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u65e5\u672c\u85ac\u5b66\u4f1a\u7b2c138\u5e74\u4f1a\u30012018\/3\u3001\u91d1\u6ca2<\/li>\n\n\n\n
                            10. \u5316\u5b66\u69cb\u9020\u60c5\u5831\u3092\u4ed8\u4e0e\u3057\u305f\u5927\u898f\u6a21\u526f\u4f5c\u7528\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9\u306b\u57fa\u3065\u304f\u60aa\u5fc3\u30fb\u5614\u5410\u8a98\u767a\u85ac\u7269\u4e88\u6e2c\u30e2\u30c7\u30eb\u306e\u69cb\u7bc9<\/strong>\uff1a\u671d\u6238\u7d71\u4e43<\/span>\u3001\u52a0\u8cc0\u8c37\u8087\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u65e5\u672c\u85ac\u5b66\u4f1a\u7b2c138\u5e74\u4f1a\u30012018\/3\u3001\u91d1\u6ca2<\/li>\n\n\n\n
                            11. \u526f\u4f5c\u7528\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9\u306b\u57fa\u3065\u304f\u547c\u5438\u6291\u5236\u3092\u8a98\u767a\u3059\u308b\u533b\u85ac\u54c1\u306e\u5316\u5b66\u69cb\u9020\u89e3\u6790<\/strong>\uff1a\u5185\u7530\u8aa0\u898f<\/span>\u3001\u52a0\u8cc0\u8c37\u8087\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u65e5\u672c\u85ac\u5b66\u4f1a\u7b2c138\u5e74\u4f1a\u30012018\/3\u3001\u91d1\u6ca2<\/li>\n\n\n\n
                            12. Log D <\/strong>\u3092\u5229\u7528\u3057\u305f<\/strong>15 <\/strong>\u7a2e\u306e\u30c1\u30ed\u30b7\u30f3\u30ad\u30ca\u30fc\u30bc\u963b\u5bb3\u5264\u306e<\/strong>HPLC <\/strong>\u5b9a\u91cf\u6cd5\u306e\u958b\u767a<\/strong>\uff1a\u5357\u5f8c\u83dc\u6708\u3001\u79cb\u5e38\u4ec1\u5fd7\u3001\u4f50\u91ce\u548c\u7f8e\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u6c60\u4e0a\u6d0b\u4e8c\u3001\u82b1\u7530\u548c\u5f66\u3001\u65e5\u672c\u85ac\u5b66\u4f1a\u7b2c138\u5e74\u4f1a\u30012018\/3\u3001\u91d1\u6ca2<\/li>\n\n\n\n
                            13. \u526f\u4f5c\u7528\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9\u306b\u304a\u3051\u308b\u50be\u7720\u3092\u8a98\u767a\u3059\u308b\u533b\u85ac\u54c1\u306e\u5316\u5b66\u69cb\u9020\u89e3\u6790<\/strong>\uff1a\u5869\u7530\u5f69\u4e43<\/span>\u3001\u52a0\u8cc0\u8c37\u8087\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u65e5\u672c\u85ac\u5b66\u4f1a\u7b2c138\u5e74\u4f1a\u30012018\/3\u3001\u91d1\u6ca2<\/li>\n\n\n\n
                            14. \u30d5\u30e9\u30ce\u30af\u30ed\u30e2\u30f3\u8a98\u5c0e\u4f53\u306e\u5b9a\u91cf\u7684\u69cb\u9020\u7d30\u80de\u50b7\u5bb3\u6027\u76f8\u95a2\u89e3\u6790<\/strong>\uff1a\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u9ad8\u5c3e\u6d69\u4e00\u3001\u6749\u7530\u7fa9\u662d\u3001\u52a0\u8cc0\u8c37\u8087\u3001\u5965\u5e73\u51c6\u4e4b\u3001\u5742\u4e0a\u5b8f\u3001\u7b2c138\u56de\u65e5\u672c\u85ac\u7406\u5b66\u4f1a\u95a2\u6771\u90e8\u4f1a\u30012018\/3\u3001\u6771\u4eac<\/li>\n\n\n\n
                            15. \u533b\u85ac\u54c1\u526f\u4f5c\u7528\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9\u306b\u57fa\u3065\u304f\u85ac\u5264\u6027\u4fbf\u79d8\u306e\u30af\u30e9\u30b9\u30bf\u30fc\u89e3\u6790<\/strong>\uff1a\u5c0f\u6d25\u5409\u6cf0<\/span>\u3001\u52a0\u8cc0\u8c37\u8087\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u7b2c12\u56de\u65e5\u672c\u7de9\u548c\u533b\u7642\u85ac\u5b66\u4f1a\u5e74\u4f1a\u30012018\/5\u3001\u6771\u4eac<\/li>\n\n\n\n
                            16. \u526f\u4f5c\u7528\u81ea\u767a\u5831\u544a\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9JADER\u304a\u3088\u3073\u533b\u85ac\u54c1\u5316\u5b66\u69cb\u9020\u89e3\u6790\u306b\u57fa\u3065\u304f\u547c\u5438\u6291\u5236\u8a98\u767a\u85ac\u7269\u306e\u8b58\u5225<\/strong>\uff1a\u5185\u7530\u8aa0\u898f<\/span>\u3001\u52a0\u8cc0\u8c37\u8087\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u7b2c12\u56de\u65e5\u672c\u7de9\u548c\u533b\u7642\u85ac\u5b66\u4f1a\u5e74\u4f1a\u30012018\/5\u3001\u6771\u4eac<\/li>\n\n\n\n
                            17. \u526f\u4f5c\u7528\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9JADER \u3092\u7528\u3044\u305f\u305b\u3093\u5984\u30ea\u30b9\u30af\u85ac\u306e\u691c\u7d22\u3068\u5316\u5b66\u69cb\u9020\u306b\u57fa\u3065\u304f\u4e88\u6e2c\u30e2\u30c7\u30eb\u306e\u69cb\u7bc9<\/strong>\uff1a\u702c\u7530\u512a\u9999<\/span>\u3001\u52a0\u8cc0\u8c37\u8087\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u7b2c12\u56de\u65e5\u672c\u7de9\u548c\u533b\u7642\u85ac\u5b66\u4f1a\u5e74\u4f1a\u30012018\/5\u3001\u6771\u4eac<\/li>\n\n\n\n
                            18. \u5927\u898f\u6a21\u526f\u4f5c\u7528\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9\u306b\u57fa\u3065\u304f\u50be\u7720\u306e\u7db2\u7f85\u7684\u89e3\u6790<\/strong>\uff1a\u5869\u7530\u5f69\u4e43<\/span>\u3001\u52a0\u8cc0\u8c37\u8087\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u7b2c12\u56de\u65e5\u672c\u7de9\u548c\u533b\u7642\u85ac\u5b66\u4f1a\u5e74\u4f1a\u30012018\/5\u3001\u6771\u4eac<\/li>\n\n\n\n
                            19. \u533b\u85ac\u54c1\u526f\u4f5c\u7528\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9\u3092\u7528\u3044\u305f\u975e\u5fc3\u539f\u6027\u80ba\u6c34\u816b\u306e\u89e3\u6790\uff1a\u8a98\u767a\u85ac\u7269\u8b58\u5225\u30e2\u30c7\u30eb\u306e\u69cb\u7bc9<\/strong>\uff1a\u8fb0\u5e83\u552f\u83dc<\/span>\u3001\u52a0\u8cc0\u8c37\u8087\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u7b2c12\u56de\u65e5\u672c\u7de9\u548c\u533b\u7642\u85ac\u5b66\u4f1a\u5e74\u4f1a\u30012018\/5\u3001\u6771\u4eac<\/li>\n\n\n\n
                            20. \u5927\u898f\u6a21\u533b\u85ac\u54c1\u526f\u4f5c\u7528\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9\u306b\u57fa\u3065\u304f\u85ac\u7269\u6027\u809d\u969c\u5bb3\u306e\u89e3\u6790\uff1a\u6295\u4e0e\u91cf\u306e\u5f71\u97ff<\/strong>\uff1a\u4eca\u7530\u52c7\u8f1d<\/span>\u3001\u52a0\u8cc0\u8c37\u8087\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u7b2c12\u56de\u65e5\u672c\u7de9\u548c\u533b\u7642\u85ac\u5b66\u4f1a\u5e74\u4f1a\u30012018\/5\u3001\u6771\u4eac<\/li>\n\n\n\n
                            21. \u60aa\u5fc3\u30fb\u5614\u5410\u8a98\u767a\u85ac\u7269\u306e\u5927\u898f\u6a21\u526f\u4f5c\u7528\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9\u306b\u57fa\u3065\u304f\u69cb\u9020\u89e3\u6790<\/strong>\uff1a\u671d\u6238\u7d71\u4e43<\/span>\u3001\u52a0\u8cc0\u8c37\u8087\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u7b2c12\u56de\u65e5\u672c\u7de9\u548c\u533b\u7642\u85ac\u5b66\u4f1a\u5e74\u4f1a\u30012018\/5\u3001\u6771\u4eac<\/li>\n\n\n\n
                            22. \u5316\u5b66\u7642\u6cd5\u306b\u4f34\u3046\u5403\u9006\u306b\u5bfe\u3059\u308b\u300c\u67ff\u306e\u30d8\u30bf\u714e\u300d\u306e\u4e88\u9632\u52b9\u679c\u304c\u3042\u3063\u305f\u3068\u601d\u308f\u308c\u308b\u4f8b<\/strong>\uff1a\u5317\u5cf6\u5065\u58eb<\/span>\u3001\u7d30\u8c37\u9f8d\u4e00\u90ce<\/span>\u3001\u6c38\u6751\u967d\u4e00\u90ce\u3001\u91ce\u6fa4\uff08\u77f3\u4e95\uff09\u73b2\u5b50\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u65e5\u91ce\u6589\u4e00\u3001\u52a0\u8cc0\u8c37\u8087\u3001\u7b2c12\u56de\u65e5\u672c\u7de9\u548c\u533b\u7642\u85ac\u5b66\u4f1a\u5e74\u4f1a\u30012018\/5\u3001\u6771\u4eac<\/li>\n\n\n\n
                            23. \u30aa\u30f3\u30c8\u30ed\u30b8\u30fc\u5de5\u5b66\u306b\u57fa\u3065\u304f\u6a5f\u5e8f\u89e3\u91c8\u652f\u63f4\u306b\u5411\u3051\u3066<\/strong>\uff1a\u5c71\u7e23\u53cb\u7d00\u3001\u4e94\u5341\u5d50\u82b3\u66a2\u3001\u4e2d\u6d25\u5247\u4e4b\u3001\u5800\u672c\u52dd\u4e45\u3001\u798f\u4e95\u4e00\u5f66\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u5c71\u7530\u3000\u5f18\u30012018\u5e74\u5ea6 \u4eba\u5de5\u77e5\u80fd\u5b66\u4f1a\u5168\u56fd\u5927\u4f1a\uff08\u7b2c32\u56de\uff09\u30012018\/6\u3001\u9e7f\u5150\u5cf6<\/li>\n\n\n\n
                            24. \u809d\u6bd2\u6027\u77e5\u8b58\u306e\u4f53\u7cfb\u5316\u306e\u305f\u3081\u306e\u30aa\u30f3\u30c8\u30ed\u30b8\u30fc\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9\u30b7\u30b9\u30c6\u30e0\u306e\u69cb\u7bc9<\/strong>\uff1a\u5c71\u7e23\u53cb\u7d00\u3001\u4e94\u5341\u5d50\u82b3\u66a2\u3001\u4e2d\u6d25\u5247\u4e4b\u3001\u5800\u672c\u52dd\u4e45\u3001\u798f\u4e95\u4e00\u5f66\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u5c71\u7530\u3000\u5f18\u3001\u7b2c45\u56de\u65e5\u672c\u6bd2\u6027\u5b66\u4f1a\u5b66\u8853\u5e74\u4f1a\u30012018\/7\u3001\u5927\u962a<\/li>\n\n\n\n
                            25. \u809d\u6bd2\u6027\u4e88\u6e2c\u306e\u305f\u3081\u306e\u30a4\u30f3\u30d5\u30a9\u30de\u30c6\u30a3\u30af\u30b9\u30b7\u30b9\u30c6\u30e0\u69cb\u7bc9\u306b\u95a2\u3059\u308b\u7814\u7a76 AMED\u30d7\u30ed\u30b8\u30a7\u30af\u30c8\u516c\u958b\u30bb\u30df\u30ca\u30fc<\/strong>\uff1a\u4e2d\u6d25\u5247\u4e4b\u3001\u4e94\u5341\u5d50\u82b3\u66a2\u3001\u5c71\u7e23\u53cb\u7d00\u3001\u677e\u5c71\u6643\u6587\u3001\u79cb\u4e38\u88d5\u53f8\u3001\u79cb\u4e38\u6075\u7406\u4f73\u3001\u5927\u5009\u83ef\u96ea\u3001\u5800\u672c\u52dd\u4e45\u3001\u798f\u4e95\u4e00\u5f66\u3001\u6c5f\u826f\u629e\u5b9f\u3001\u677e\u672c\u5fd7\u90ce\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u5c71\u7530\u3000\u5f18\u3001\u7b2c45\u56de\u65e5\u672c\u6bd2\u6027\u5b66\u4f1a\u5b66\u8853\u5e74\u4f1a\u30012018\/7\u3001\u5927\u962a<\/li>\n\n\n\n
                            26. \u30d2\u30c8\u521d\u4ee3\u57f9\u990a\u809d\u7d30\u80de\u306e\u907a\u4f1d\u5b50\u767a\u73fe\u30d7\u30ed\u30d5\u30a1\u30a4\u30eb\u3092\u7528\u3044\u305f\u809d\u6bd2\u6027\u30de\u30fc\u30ab\u30fc\u30d1\u30cd\u30eb\u306e\u69cb\u7bc9<\/strong>\uff1a\u4e94\u5341\u5d50\u82b3\u66a2\u3001\u5c71\u7e23\u53cb\u7d00\u3001\u4e2d\u6d25\u5247\u4e4b\u3001\u5800\u672c\u52dd\u4e45\u3001\u798f\u4e95\u4e00\u5f66\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u5c71\u7530\u3000\u5f18\u3001\u7b2c45\u56de\u65e5\u672c\u6bd2\u6027\u5b66\u4f1a\u5b66\u8853\u5e74\u4f1a\u30012018\/7\u3001\u5927\u962a<\/li>\n\n\n\n
                            27. \u6bd2\u6027\u767a\u73fe\u7d4c\u8def\u304a\u3088\u3073\u5316\u5b66\u69cb\u9020\u60c5\u5831\u3092\u6307\u6a19\u3068\u3057\u305f\u85ac\u7269\u304a\u3088\u3073\u5316\u5b66\u7269\u8cea\u306b\u8d77\u56e0\u3059\u308b\u30d2\u30c8\u6709\u5bb3\u53cd\u5fdc\u306e\u4e88\u6e2c\u6cd5\u306e\u958b\u767a\uff5e\u5316\u5b66\u69cb\u9020\u60c5\u5831\u306e\u65b0\u898f\u4eba\u5de5\u77e5\u80fd\u5165\u529b\u6cd5DeepSnap\u306b\u57fa\u3065\u304fQSAR\u89e3\u6790\uff5e<\/strong>\uff1a\u690d\u6ca2\u82b3\u5e83\u3001\u65e5\u672c\u5316\u5b66\u5de5\u696d\u5354\u4f1a\u30fb\u65b0LRI\u7b2c6\u671f\u7814\u7a76\u5831\u544a\u4f1a\u30012018\/8\u3001\u6771\u4eac<\/li>\n\n\n\n
                            28. \u5316\u5b66\u69cb\u9020\u306b\u57fa\u3065\u304f\u60aa\u5fc3\u30fb\u5614\u5410\u3092\u8a98\u767a\u3059\u308b\u85ac\u7269\u306e\u4e88\u6e2c<\/strong>\uff1a\u671d\u6238\u7d71\u4e43<\/span>\u3001\u52a0\u8cc0\u8c37\u8087\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u7b2c4\u56de\u6b21\u4e16\u4ee3\u3092\u62c5\u3046\u82e5\u624b\u306e\u305f\u3081\u306e\u30ec\u30ae\u30e5\u30e9\u30c8\u30ea\u30fc\u30b5\u30a4\u30a8\u30f3\u30b9\u30d5\u30a9\u30fc\u30e9\u30e0\u30012018\/9\u3001\u6771\u4eac<\/li>\n\n\n\n
                            29. \u533b\u85ac\u54c1\u526f\u4f5c\u7528\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9\u3092\u7528\u3044\u305f\u85ac\u7269\u6027\u809d\u969c\u5bb3\u8a98\u767a\u85ac\u7269\u306e\u6295\u4e0e\u91cf\u306e\u89e3\u6790<\/strong>\uff1a\u4eca\u7530\u52c7\u8f1d<\/span>\u3001\u52a0\u8cc0\u8c37\u8087\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u7b2c4\u56de\u6b21\u4e16\u4ee3\u3092\u62c5\u3046\u82e5\u624b\u306e\u305f\u3081\u306e\u30ec\u30ae\u30e5\u30e9\u30c8\u30ea\u30fc\u30b5\u30a4\u30a8\u30f3\u30b9\u30d5\u30a9\u30fc\u30e9\u30e0\u30012018\/9\u3001\u6771\u4eac<\/li>\n\n\n\n
                            30. \u5316\u5b66\u69cb\u9020\u306b\u57fa\u3065\u304f\u547c\u5438\u6291\u5236\u8a98\u767a\u85ac\u7269\u306e\u7279\u5fb4\u89e3\u6790<\/strong>\uff1a\u5185\u7530\u8aa0\u898f<\/span>\u3001\u52a0\u8cc0\u8c37\u8087\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u7b2c4\u56de\u6b21\u4e16\u4ee3\u3092\u62c5\u3046\u82e5\u624b\u306e\u305f\u3081\u306e\u30ec\u30ae\u30e5\u30e9\u30c8\u30ea\u30fc\u30b5\u30a4\u30a8\u30f3\u30b9\u30d5\u30a9\u30fc\u30e9\u30e0\u30012018\/9\u3001\u6771\u4eac<\/li>\n\n\n\n
                            31. \u533b\u85ac\u54c1\u526f\u4f5c\u7528\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9\u306b\u57fa\u3065\u304f\u85ac\u5264\u6027\u4fbf\u79d8\u304a\u3088\u3073\u985e\u4f3c\u75be\u60a3\u306e\u5206\u985e\u8a55\u4fa1<\/strong>\uff1a\u5c0f\u6d25\u5409\u6cf0<\/span>\u3001\u52a0\u8cc0\u8c37\u8087\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u7b2c4\u56de\u6b21\u4e16\u4ee3\u3092\u62c5\u3046\u82e5\u624b\u306e\u305f\u3081\u306e\u30ec\u30ae\u30e5\u30e9\u30c8\u30ea\u30fc\u30b5\u30a4\u30a8\u30f3\u30b9\u30d5\u30a9\u30fc\u30e9\u30e0\u30012018\/9\u3001\u6771\u4eac<\/li>\n\n\n\n
                            32. \u5316\u5b66\u69cb\u9020\u306b\u57fa\u3065\u304f\u50be\u7720\u3092\u8a98\u767a\u3059\u308b\u85ac\u7269\u306e\u4e88\u6e2c<\/strong>\uff1a\u5869\u7530\u5f69\u4e43<\/span>\u3001\u52a0\u8cc0\u8c37\u8087\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u7b2c4\u56de\u6b21\u4e16\u4ee3\u3092\u62c5\u3046\u82e5\u624b\u306e\u305f\u3081\u306e\u30ec\u30ae\u30e5\u30e9\u30c8\u30ea\u30fc\u30b5\u30a4\u30a8\u30f3\u30b9\u30d5\u30a9\u30fc\u30e9\u30e0\u30012018\/9\u3001\u6771\u4eac<\/li>\n\n\n\n
                            33. \u5316\u5b66\u69cb\u9020\u60c5\u5831\u306b\u57fa\u3065\u304f\u305b\u3093\u5984\u3092\u8a98\u767a\u3059\u308b\u85ac\u7269\u306e\u4e88\u6e2c<\/strong>\uff1a\u702c\u7530\u512a\u9999<\/span>\u3001\u52a0\u8cc0\u8c37\u8087\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u7b2c4\u56de\u6b21\u4e16\u4ee3\u3092\u62c5\u3046\u82e5\u624b\u306e\u305f\u3081\u306e\u30ec\u30ae\u30e5\u30e9\u30c8\u30ea\u30fc\u30b5\u30a4\u30a8\u30f3\u30b9\u30d5\u30a9\u30fc\u30e9\u30e0\u30012018\/9\u3001\u6771\u4eac<\/li>\n\n\n\n
                            34. \u5316\u5b66\u69cb\u9020\u60c5\u5831\u306b\u57fa\u3065\u304f\u975e\u5fc3\u539f\u6027\u80ba\u6c34\u816b\u3092\u8a98\u767a\u3059\u308b\u85ac\u7269\u306e\u4e88\u6e2c<\/strong>\uff1a\u8fb0\u5e83\u552f\u83dc<\/span>\u3001\u52a0\u8cc0\u8c37\u8087\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u7b2c4\u56de\u6b21\u4e16\u4ee3\u3092\u62c5\u3046\u82e5\u624b\u306e\u305f\u3081\u306e\u30ec\u30ae\u30e5\u30e9\u30c8\u30ea\u30fc\u30b5\u30a4\u30a8\u30f3\u30b9\u30d5\u30a9\u30fc\u30e9\u30e0\u30012018\/9\u3001\u6771\u4eac<\/li>\n\n\n\n
                            35. \u6765\u5c40\u60a3\u8005\u306b\u304a\u3051\u308b\u5e38\u5099\u85ac\u306e\u4f7f\u7528\u671f\u9650\u306b\u95a2\u3059\u308b\u610f\u8b58\u8abf\u67fb<\/strong>\uff1a\u77f3\u6ca2\u5d69\u6674\u3001\u4eca\u91ce\u4e9c\u5b50\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u7b2c51\u56de\u65e5\u672c\u85ac\u5264\u5e2b\u4f1a\u5b66\u8853\u5927\u4f1a\u30012018\/9\u3001\u91d1\u6ca2<\/li>\n\n\n\n
                            36. \u30d2\u30eb\u30c9\u30a4\u30c9\u00ae\u306e\u7f8e\u5bb9\u554f\u984c\u306b\u304a\u3051\u308b\u8a8d\u77e5\u5ea6\u3068\u4f7f\u7528\u72b6\u6cc1\u306b\u95a2\u3059\u308b\u8abf\u67fb<\/strong>\uff1a\u5e02\u5ddd\u53cb\u6a39\u3001\u9752\u6728\u79c0\u654f\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u7b2c51\u56de\u65e5\u672c\u85ac\u5264\u5e2b\u4f1a\u5b66\u8853\u5927\u4f1a\u30012018\/9\u3001\u91d1\u6ca2<\/li>\n\n\n\n
                            37. \u85ac\u6027\u306b\u7740\u76ee\u3057\u305f\u6f22\u65b9\u30a8\u30ad\u30b9\u88fd\u5264\u306e\u4e3b\u6210\u5206\u5206\u6790<\/strong>\uff1a\u539f\u5d8b\u3000\u8475\u3001\u8429\u539f\u8061\u7f8e\u3001\u6fa4\u7530\u3000\u6df3\u3001\u798f\u7530\u679d\u91cc\u5b50\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u99ac\u5834\u6b63\u6a39\u3001\u77e2\u4e45\u4fdd\u4fee\u55e3\u3001\u65e5\u672c\u751f\u85ac\u5b66\u4f1a\u7b2c65\u56de\u5e74\u4f1a\u30012018\/9\u3001\u5e83\u5cf6<\/li>\n\n\n\n
                            38. Quantitative Structure-Activity Relationship (QSAR) analysis using deep learning based on deep snap, a novel molecular image input technique<\/strong>: Matsuzaka Y<\/span>, Uesawa Y<\/span>, CBI\u5b66\u4f1a2018\u5e74\u5927\u4f1a, 2018\/10, \u6771\u4eac<\/li>\n\n\n\n
                            39. 3-(N-\u30b5\u30a4\u30af\u30ea\u30c3\u30af\u30a2\u30df\u30ce)\u30af\u30ed\u30e2\u30f3\u8a98\u5c0e\u4f53\u306e\u5b9a\u91cf\u7684\u69cb\u9020-\u7d30\u80de\u50b7\u5bb3\u6027\u76f8\u95a2\u89e3\u6790<\/strong>\uff1a\u5742\u4e0a\u3000\u5b8f\u3001\u53f2\u3000\u6d77\u971e\u3001\u6c38\u4e95\u7d14\u5b50<\/span>\u3001\u5742\u8a70\u3064\u304b\u3055\u3001\u5742\u6771\u5065\u4e8c\u90ce\u3001\u5965\u5e73\u51c6\u4e4b\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u53cb\u6751\u7f8e\u6839\u5b50\u3001\u53cb\u6751\u660e\u4eba\u3001\u9ad8\u5c3e\u6d69\u4e00\u3001\u6749\u7530\u7fa9\u662d\u3001\u7b2c139\u56de\u65e5\u672c\u85ac\u7406\u5b66\u4f1a\u95a2\u6771\u90e8\u4f1a\u30012018\/10\u3001\u6771\u4eac<\/li>\n\n\n\n
                            40. 2-(N-cyclicamino)chromone\u8a98\u5c0e\u4f53\u306e\u5b9a\u91cf\u7684\u69cb\u9020-\u7d30\u80de\u50b7\u5bb3\u6027\u76f8\u95a2\u89e3\u6790<\/strong>\uff1a\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u53f2\u3000\u6d77\u971e\u3001\u6c38\u4e95\u7d14\u5b50<\/span>\u3001\u5742\u8a70\u3064\u304b\u3055\u3001\u5742\u6771\u5065\u4e8c\u90ce\u3001\u5742\u4e0a\u3000\u5b8f\u3001\u53cb\u6751\u7f8e\u6839\u5b50\u3001\u53cb\u6751\u660e\u4eba\u3001\u9ad8\u5c3e\u6d69\u4e00\u3001\u6749\u7530\u7fa9\u662d\u3001\u7b2c139\u56de\u65e5\u672c\u85ac\u7406\u5b66\u4f1a\u95a2\u6771\u90e8\u4f1a\u30012018\/10\u3001\u6771\u4eac<\/li>\n\n\n\n
                            41. \u30d4\u30e9\u30ce[4,3-b]\u30af\u30ed\u30e2\u30f3\u8a98\u5c0e\u4f53\u306e\u5b9a\u91cf\u7684\u69cb\u9020-\u7d30\u80de\u50b7\u5bb3\u6027\u76f8\u95a2\u89e3\u6790<\/strong>\uff1a\u6c38\u4e95\u7d14\u5b50<\/span>\u3001\u53f2\u3000\u6d77\u971e\u3001\u4e45\u4fdd\u7530\u5915\u9999\u3001\u5742\u6771\u5065\u4e8c\u90ce\u3001\u5965\u5e73\u51c6\u4e4b\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u5742\u4e0a\u3000\u5b8f\u3001\u53cb\u6751\u7f8e\u6839\u5b50\u3001\u53cb\u6751\u660e\u4eba\u3001\u9ad8\u5c3e\u6d69\u4e00\u3001\u6749\u7530\u7fa9\u662d\u3001\u7b2c139\u56de\u65e5\u672c\u85ac\u7406\u5b66\u4f1a\u95a2\u6771\u90e8\u4f1a\u30012018\/10\u3001\u6771\u4eac<\/li>\n<\/ol>\n<\/div><\/div>\n\n\n\n
                              <\/div><\/div>\n\n\n\n

                              \u30102\u3011\u56fd\u969b\u5b66\u4f1a<\/h4>\n\n\n\n
                              \n

                              \u4e00\u822c\u8b1b\u6f14\u30fb\u30dd\u30b9\u30bf\u30fc\u767a\u8868<\/p>\n\n\n\n

                                \n
                              1. Establishment of a direct-injection electron ionization-mass spectrometry metabolomics method and its application to lichen profiling<\/strong>: Kai H, Kinoshita K, Harada H, Uesawa Y<\/span>, Maeda A, Suzuki R, Okada Y, Takahashi K, Matsuno K, 18th International Symposium on Pharmaceutical Sciences, 2018\/6, Turkey <\/li>\n\n\n\n
                              2. Effect of Shitei extract, a traditional Chinese medicine formulation, against chemotherapy-induced hiccups<\/strong>: Hosoya R<\/span>, Kitajima K<\/span>, Eimura Y, Ishii-Nozawa R, Hino S, Kagaya H, Uesawa Y<\/span>,18th World Congress Pharmacology, 2018\/7, Kyoto<\/li>\n<\/ol>\n<\/div><\/div>\n<\/div><\/div>\n\n\n\n
                                \u904e\u53bb\u306e\u8ad6\u6587\u306f\u3053\u3061\u3089\uff08\u65e7\u30fb\u81e8\u5e8a\u85ac\u5264\u5b66\u7814\u7a76\u5ba4\uff09<\/span><\/i><\/div><\/a><\/div>\n\n\n\n
                                <\/div><\/div>\n\n\n\n

                                \u5b66\u4f4d<\/h2>\n\n\n\n
                                \n

                                2023<\/strong><\/h3>\n\n\n\n
                                \n
                                \u8ab2\u7a0b\u535a\u58eb\uff08\u85ac\u5b66\u5c02\u653b\uff09\uff08\u4ee4\u548c5\u5e743\u6708\uff09 

                                \u9ed2\ufa11\u5b8f\u592a Kota Kurosaki
                                \u5b89\u5168\u6027\u30c7\u2015\u30bf\u30d9\u30fc\u30b9\u3068\u6a5f\u68b0\u5b66\u7fd2\u3092\u6d3b\u7528\u3057\u305f\u809d\u60aa\u6027\u816b\u760d\u8a98\u767a\u85ac\u7269\u4e88\u6e2c\u624b\u6cd5\u306e \u958b\u767a\u306b\u95a2\u3059\u308b\u7814\u7a76
                                A Study on the Development of Prediction Approaches for Hepatocarcinoma -Inducing Drugs Utilizing Safety Databases and Machine Learning Techniques<\/td><\/tr>
                                \u8ab2\u7a0b\u535a\u58eb\uff08\u85ac\u5b66\u5c02\u653b\uff09\uff08\u4ee4\u548c5\u5e743\u6708\uff09
                                 
                                \u9326\u7e54\u529f\u5ef6 Kousuke Nishikiori
                                \u5316\u5b66\u69cb\u9020\u60c5\u5831\u306b\u57fa\u3065\u304f\u8840\u6db2\u900f\u6790\u306b\u304a\u3051\u308b\u85ac\u7269\u9664\u53bb\u7387\u4e88\u6e2c\u30e2\u30c7\u30eb\u306e\u69cb\u7bc9\u306b\u95a2\u3059\u308b\u7814\u7a76
                                Construction of Prediction Models for Drug Removal Rate in Hemodialysis Based on Chemical Structure Information<\/td><\/tr><\/tbody><\/table><\/figure>\n<\/div><\/div>\n<\/div><\/div>\n\n\n\n
                                \n

                                202<\/strong>2<\/h3>\n\n\n\n
                                \n
                                \u535a\u58eb\uff08\u85ac\u5b66\uff09\uff08\u4ee4\u548c4\u5e749\u6708\uff09 

                                \u83c5\u3000\u88d5\u4eae\u3000Yusuke Kan
                                \u5927\u898f\u6a21\u6709\u5bb3\u4e8b\u8c61\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9\u3092\u7528\u3044\u305f\u611f\u67d3\u75c7\u85ac\u7269\u7642\u6cd5\u306b\u95a2\u3059\u308b\u5b89\u5168\u6027\u8a55\u4fa1
                                Safety Assessment of Adverse Events in Anti-Infective Therapies Using Large-Scale Adverse Event Databases<\/td><\/tr>
                                \u535a\u58eb\uff08\u85ac\u5b66\uff09\uff08\u4ee4\u548c4\u5e7411\u6708\uff09 

                                \u4fad\u7530\u79c0\u7ae0 \u3000Hideaki Mamada
                                \u6a5f\u68b0\u5b66\u7fd2\u3092\u7528\u3044\u305f\u85ac\u7269\u52d5\u614b\u30d1\u30e9\u30e1\u30fc\u30bf\u4e88\u6e2c\u30e2\u30c7\u30eb\u69cb\u7bc9\u306b\u95a2\u3059\u308b\u7814\u7a76
                                Construction of Models for Predicting Pharmacokinetic Parameters Using Machine<\/td><\/tr><\/tbody><\/table><\/figure>\n<\/div><\/div>\n<\/div><\/div>\n\n\n\n
                                \n

                                2021<\/strong><\/h3>\n\n\n\n
                                \n
                                \u535a\u58eb\uff08\u85ac\u5b66\uff09\uff08\u4ee4\u548c3\u5e743\u6708\uff09

                                \u5965\u4e2d\u771f\u767d\u3000Mashiro Okunaka
                                \u5927\u898f\u6a21\u526f\u4f5c\u7528\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9\u3092\u7528\u3044\u305f\u304c\u3093\u85ac\u7269\u7642\u6cd5\u306b\u95a2\u3059\u308b\u85ac\u5b66\u7684\u691c\u8a0e
                                A Pharmaceutical Study of Cancer Chemotherapy by using Large Voluntary Reporting Databases of Adverse Effects<\/td><\/tr><\/tbody><\/table><\/figure>\n<\/div><\/div>\n<\/div><\/div>\n\n\n\n
                                \n

                                2019<\/strong><\/h3>\n\n\n\n
                                \n
                                \u535a\u58eb\uff08\u85ac\u5b66\uff09\uff08\u5e73\u621031\u5e743\u6708\uff09 

                                \u7d30\u8c37\u9f8d\u4e00\u90ce\u3000Ryuichiro Hosoya
                                \u81e8\u5e8a\u60c5\u5831\u3092\u7528\u3044\u305f\u5403\u9006\u306e\u30ea\u30b9\u30af\u56e0\u5b50\u3068\u305d\u306e\u6cbb\u7642\u306b\u95a2\u3059\u308b\u7814\u7a76
                                The Study of Risk Factors and Treatment of Hiccups Using Clinical Information<\/td><\/tr><\/tbody><\/table><\/figure>\n<\/div><\/div>\n<\/div><\/div>\n\n\n\n
                                \n

                                2018<\/strong><\/h3>\n\n\n\n
                                \n
                                \u535a\u58eb\uff08\u85ac\u5b66\uff09\uff08\u5e73\u621030\u5e743\u6708\uff09 

                                \u6c38\u4e95\u7d14\u5b50\u3000Nagai Junko
                                \u5927\u898f\u6a21\u81e8\u5e8a\u526f\u4f5c\u7528\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9\u3092\u7528\u3044\u305f\u7de9\u548c\u533b\u7642\u85ac\u5b66\u7684\u691c\u8a0e\uff0d\u304c\u3093\u30fb\u975e\u304c\u3093\u75bc\u75db\u6cbb\u7642\u85ac\u306b\u3088\u308a\u60f9\u8d77\u3055\u308c\u308b\u526f\u4f5c\u7528\u306e\u7279\u5fb4\u89e3\u6790\uff0d
                                A Pharmaceutical Study of Palliative Care by Using the Japanese Adverse Drug Event Report Database \uff0dCharacteristics of Adverse Effects Induced by Analgesics for Cancer and Non-Cancer Patients\uff0d<\/td><\/tr><\/tbody><\/table><\/figure>\n<\/div><\/div>\n<\/div><\/div>\n\n\n\n
                                \n

                                2017<\/strong><\/h3>\n\n\n\n
                                \n
                                \u8ad6\u6587\u535a\u58eb\uff08\u85ac\u5b66\uff09\uff08\u5e73\u621029\u5e743\u6708\uff09 

                                \u52a0\u7d0d\u5927\u8f14\u3000Daisuke Kano
                                \u653e\u5c04\u6a19\u8b58\u3092\u7528\u3044\u305f\u8a3a\u65ad\u7528\u85ac\u306e\u958b\u767a\u3068\u81e8\u5e8a\u3078\u306e\u5fdc\u7528
                                Simplified Synthesis and Clinical Application of Novel Diagnostic Radiopharmaceuticals<\/td><\/tr><\/tbody><\/table><\/figure>\n<\/div><\/div>\n<\/div><\/div>\n\n\n\n
                                \n

                                2015<\/strong><\/h3>\n\n\n\n
                                \n
                                \u8ad6\u6587\u535a\u58eb\uff08\u81e8\u5e8a\u85ac\u5b66\uff09\uff08\u5e73\u621027\u5e749\u6708\uff09 

                                \u77e2\u5cf6\u611b\u7406\u3000Airi Yajima
                                \u304c\u3093\u60a3\u8005\u3092\u5bfe\u8c61\u3068\u3057\u305f\u30af\u30ec\u30a2\u30c1\u30cb\u30f3\u30af\u30ea\u30a2\u30e9\u30f3\u30b9\u63a8\u5b9a\u65b9\u6cd5\u306e\u63d0\u6848
                                Investigation of Reliable Methods to Estimate Creatinine Clearance in Cancer Patients<\/td><\/tr><\/tbody><\/table><\/figure>\n<\/div><\/div>\n<\/div><\/div>\n\n\n\n
                                <\/div><\/div>\n\n\n\n

                                \u53d7\u8cde<\/h2>\n\n\n\n
                                \n

                                2026<\/strong><\/h3>\n\n\n\n
                                \n
                                EUOS25 Challenge \u86cd\u5149\u7269\u8cea\u4e88\u6e2c\u90e8\u9580 1\u4f4d<\/a>\uff1a\u5bae\u539f\u3000\u6e09\u3001\u4f4d\u7530\u4f73\u552f\u6597\u3001\u5ca9\u4e0b\u60a0\u99ac\u3001\u690d\u6ca2\u82b3\u5e83<\/td><\/tr>
                                EUOS25 Challenge\u86cd\u5149\u7269\u8cea\u4e88\u6e2c\u90e8\u9580\u512a\u52dd<\/a>\uff1a\u5bae\u539f\u3000\u6e09\u3001\u4f4d\u7530\u4f73\u552f\u6597\u3001\u5ca9\u4e0b\u60a0\u99ac\u3001\u690d\u6ca2\u82b3\u5e83<\/td><\/tr>
                                \u65e5\u672c\u85ac\u5b66\u4f1a\u7b2c146\u5e74\u4f1a\u30dd\u30b9\u30bf\u30fc\u767a\u8868\u306e\u90e8\u306b\u304a\u3044\u3066\u5b66\u751f\u512a\u79c0\u767a\u8868\u8cde\uff1a\u5bae\u539f\u3000\u6e09<\/td><\/tr>
                                \u65e5\u672c\u85ac\u5b66\u4f1a\u7b2c146\u5e74\u4f1a\u30dd\u30b9\u30bf\u30fc\u767a\u8868\u306e\u90e8\u306b\u304a\u3044\u3066\u5b66\u751f\u512a\u79c0\u767a\u8868\u8cde\uff1a\u5927\u7027\u6953\u5b50<\/td><\/tr>
                                \u65e5\u672c\u85ac\u5b66\u4f1a\u7b2c146\u5e74\u4f1a\u30dd\u30b9\u30bf\u30fc\u767a\u8868\u306e\u90e8\u306b\u304a\u3044\u3066\u5b66\u751f\u512a\u79c0\u767a\u8868\u8cde\uff1a\u76ee\u9ed2\u82b1\u7d14<\/td><\/tr><\/tbody><\/table><\/figure>\n<\/div><\/div>\n<\/div><\/div>\n\n\n\n
                                \n

                                2025<\/strong><\/h3>\n\n\n\n
                                \n
                                Hepatology Research\u8a8c\u306eTop Viewed Article\u306b\u9078\u51fa<\/span><\/a>\uff1a\u690d\u6ca2\u82b3\u5e83<\/td><\/tr>
                                \u7b2c18\u56de\u65e5\u672c\u7de9\u548c\u533b\u7642\u85ac\u5b66\u4f1a\u5e74\u4f1a\u3067\u512a\u79c0\u6f14\u984c\u8cde\u3092\u53d7\u8cde\uff1a\u7d30\u8c37\u9f8d\u4e00\u90ce<\/td><\/tr>
                                Stanford University \u304a\u3088\u3073 Elsevier\u793e\u306b\u3088\u308b\u300c\u4e16\u754c\u3067\u6700\u3082\u5f71\u97ff\u529b\u306e\u3042\u308b\u79d1\u5b66\u8005\u30c8\u30c3\u30d72\uff05\u300d\uff082025\u5e74\u5ea6\u7248\uff09\u306b\u9078\u51fa<\/a>\uff1a\u690d\u6ca2\u82b3\u5e83<\/td><\/tr><\/tbody><\/table><\/figure>\n<\/div><\/div>\n<\/div><\/div>\n\n\n\n
                                \n

                                2024<\/strong><\/h3>\n\n\n\n
                                \n
                                \u65e5\u672c\u85ac\u5b66\u4f1a\u7b2c144\u5e74\u4f1a\u30dd\u30b9\u30bf\u30fc\u767a\u8868\u306e\u90e8\u306b\u304a\u3044\u3066\u5b66\u751f\u512a\u79c0\u767a\u8868\u8cde<\/a>\uff1a\u6ff1\u5d0e\u7406\u6c99<\/td><\/tr>
                                \u7b2c10\u56de\u65e5\u672c\u533b\u85ac\u54c1\u5b89\u5168\u6027\u5b66\u4f1a\u5b66\u8853\u5927\u4f1a\u3067\u6700\u512a\u79c0\u6f14\u984c\u8cde<\/a>\uff1a\u52a0\u8cc0\u8c37\u840c\u4e43<\/td><\/tr>
                                Tox24 Challenge \u7b2c4\u4f4d\u5165\u8cde\uff1a\u5ca9\u4e0b\u60a0\u99ac\u3001\u6728\u6751\u606d\u8f14\u3001\u99d2\u5742\u53cb\u54c9\u3001\u5b8d\u6238\u822a\u6a39\u3001\u671d\u7530\u745e\u7a42\u3001\u690d\u6ca2\u82b3\u5e83<\/td><\/tr>
                                Stanford University \u304a\u3088\u3073 Elsevier\u793e\u306b\u3088\u308b\u300c\u4e16\u754c\u3067\u6700\u3082\u5f71\u97ff\u529b\u306e\u3042\u308b\u79d1\u5b66\u8005\u30c8\u30c3\u30d72\uff05\u300d\uff082024\u5e74\u5ea6\u7248\uff09\u306b\u9078\u51fa<\/a>\uff1a\u690d\u6ca2\u82b3\u5e83<\/td><\/tr><\/tbody><\/table><\/figure>\n<\/div><\/div>\n<\/div><\/div>\n\n\n\n
                                \n

                                2023<\/strong><\/h3>\n\n\n\n
                                \n
                                Biological and Pharmaceutical Bulletin\u8a8c\u306eFeatured articles\u306b\u9078\u51fa<\/a>\uff1a\u9326\u7e54\u529f\u5ef6\u3001\u690d\u6ca2\u82b3\u5e83<\/td><\/tr>
                                \u65e5\u672c\u85ac\u5b66\u4f1a\u7b2c143\u5e74\u4f1a\u30dd\u30b9\u30bf\u30fc\u767a\u8868\u306e\u90e8\u306b\u304a\u3044\u3066\u5b66\u751f\u512a\u79c0\u767a\u8868\u8cde<\/a>\uff1a\u6307\u7530\u83dc\u3005\u5b50<\/td><\/tr>
                                \u65e5\u672c\u85ac\u5b66\u4f1a\u7b2c143\u5e74\u4f1a\u30dd\u30b9\u30bf\u30fc\u767a\u8868\u306e\u90e8\u306b\u304a\u3044\u3066\u5b66\u751f\u512a\u79c0\u767a\u8868\u8cde<\/a>\uff1a\u539f\u7530\u76f4\u5b63<\/td><\/tr>
                                \u4ee4\u548c4\u5e74\u5ea6\u95a2\u4fe1\u5730\u533a\u56fd\u7acb\u75c5\u9662\u85ac\u5264\u5e2b\u4f1a\u512a\u79c0\u8ad6\u6587\u5968\u52b1\u8cde\uff08\u59d4\u54e1\u9577\u8cde\uff09<\/a>\uff1a\u5965\u4e2d\u771f\u767d<\/td><\/tr>
                                \u65e5\u672c\u9ebb\u9154\u79d1\u5b66\u4f1a\u7b2c70\u56de\u5b66\u8853\u96c6\u4f1a\u3067\u512a\u79c0\u6f14\u984c\u8cde\u3092\u53d7\u8cde\uff1a\u671d\u7530\u745e\u7a42<\/td><\/tr>
                                \u65e5\u672c\u533b\u7642\u85ac\u5b66\u4f1a\u7b2c6\u56de\u30d5\u30ec\u30c3\u30b7\u30e3\u30fc\u30ba\u30fb\u30ab\u30f3\u30d5\u30a1\u30e9\u30f3\u30b9\u3067\u512a\u79c0\u6f14\u984c\u767a\u8868\u8cde<\/a>\uff1a\u4e2d\u5c3e\u767e\u5408\u5b50<\/td><\/tr>
                                \u65e5\u672c\u533b\u7642\u85ac\u5b66\u4f1a\u7b2c6\u56de\u30d5\u30ec\u30c3\u30b7\u30e3\u30fc\u30ba\u30fb\u30ab\u30f3\u30d5\u30a1\u30e9\u30f3\u30b9\u3067\u512a\u79c0\u6f14\u984c\u767a\u8868\u8cde<\/a>\uff1a\u6cb3\u9089\u7dbe\u4e43<\/td><\/tr>
                                \u7b2c9\u56de\u65e5\u672c\u533b\u85ac\u54c1\u5b89\u5168\u6027\u5b66\u4f1a\u5b66\u8853\u5927\u4f1a\u3067\u512a\u79c0\u6f14\u984c\u8cde<\/a>\uff1a\u6728\u6751\u606d\u8f14<\/td><\/tr>
                                Stanford University \u304a\u3088\u3073 Elsevier\u793e\u306b\u3088\u308b\u300c\u4e16\u754c\u3067\u6700\u3082\u5f71\u97ff\u529b\u306e\u3042\u308b\u79d1\u5b66\u8005\u30c8\u30c3\u30d72\uff05\u300d\uff082023\u5e74\u5ea6\u7248\uff09\u306b\u9078\u51fa<\/a>\uff1a\u690d\u6ca2\u82b3\u5e83<\/td><\/tr><\/tbody><\/table><\/figure>\n<\/div><\/div>\n<\/div><\/div>\n\n\n\n
                                \n

                                2022<\/strong><\/h3>\n\n\n\n
                                \n
                                \u65e5\u672c\u85ac\u5b66\u4f1a\u7b2c142\u5e74\u4f1a\uff08Web\u958b\u50ac\uff09\u30dd\u30b9\u30bf\u30fc\u767a\u8868\u306e\u90e8\u306b\u304a\u3044\u3066\u5b66\u751f\u512a\u79c0\u767a\u8868\u8cde<\/a>\uff1a\u4e2d\u5c3e\u767e\u5408\u5b50<\/td><\/tr>
                                \u65e5\u672c\u85ac\u5b66\u4f1a\u7b2c142\u5e74\u4f1a\uff08Web\u958b\u50ac\uff09\u30dd\u30b9\u30bf\u30fc\u767a\u8868\u306e\u90e8\u306b\u304a\u3044\u3066\u5b66\u751f\u512a\u79c0\u767a\u8868\u8cde<\/a>\uff1a\u91ce\u53e3\u5948\u685c<\/td><\/tr>
                                Stanford University \u304a\u3088\u3073 Elsevier\u793e\u306b\u3088\u308b\u300c\u4e16\u754c\u3067\u6700\u3082\u5f71\u97ff\u529b\u306e\u3042\u308b\u79d1\u5b66\u8005\u30c8\u30c3\u30d72\uff05\u300d\uff082022\u5e74\u5ea6\u7248\uff09\u306b\u9078\u51fa<\/a>\uff1a\u690d\u6ca2\u82b3\u5e83<\/td><\/tr><\/tbody><\/table><\/figure>\n<\/div><\/div>\n<\/div><\/div>\n\n\n\n
                                \n

                                2021<\/strong><\/h3>\n\n\n\n
                                \n
                                \u4ee4\u548c\uff12\u5e74\u5ea6\u95a2\u4fe1\u5730\u533a\u56fd\u7acb\u75c5\u9662\u85ac\u5264\u5e2b\u4f1a\u5968\u52b1\u8cde\uff1a\u9ce5\u6d77\u771f\u4e5f<\/td><\/tr>
                                Use of 13C-NMR chemical shifts; Application of principal component analysis for categorizing structurally similar methoxyflavones and correlation analysis between chemical shifts and cytotoxicity<\/strong><\/a>: Suzuki R, Uesawa Y<\/span>, Okada Y, Horikawa T, Okabe Y, Aburada Mb Takahashi K, Kinoshita K, Chem. Pharm. Bull.,<\/em> 69<\/strong>, 199\u2013202 (2021)  (Highlighted paper selected by Editor-in-Chief\u306b\u9078\u51fa)<\/td><\/tr><\/tbody><\/table><\/figure>\n<\/div><\/div>\n<\/div><\/div>\n\n\n\n
                                \n

                                2019<\/strong><\/h3>\n\n\n\n
                                \n
                                \u56fd\u7acb\u304c\u3093\u30bb\u30f3\u30bf\u30fc\u85ac\u5264\u5e2b\u30ec\u30b8\u30c7\u30f3\u30c8\u5408\u540c\u5831\u544a\u4f1a\u53e3\u982d\u767a\u8868\u306e\u90e8\u306b\u304a\u3044\u3066\u6700\u512a\u79c0\u8cde\uff1a\u5965\u4e2d\u771f\u767d<\/td><\/tr>
                                2019\u5e74\u5ea6\u65e5\u672c\u533b\u7642\u85ac\u5b66\u4f1a\u306b\u304a\u3044\u3066\u5b66\u4f1a\u8cde\uff08Postdoctoral Award\uff09\uff1a\u7d30\u8c37\u9f8d\u4e00\u90ce<\/td><\/tr><\/tbody><\/table><\/figure>\n<\/div><\/div>\n<\/div><\/div>\n\n\n\n
                                \n

                                2018<\/strong><\/h3>\n\n\n\n
                                \n
                                \u7b2c4\u56de\u6b21\u4e16\u4ee3\u3092\u62c5\u3046\u82e5\u624b\u306e\u305f\u3081\u306e\u30ec\u30ae\u30e5\u30e9\u30c8\u30ea\u30fc\u30b5\u30a4\u30a8\u30f3\u30b9\u30d5\u30a9\u30fc\u30e9\u30e0\u512a\u79c0\u767a\u8868\u8cde\uff1a\u671d\u6238\u7d71\u4e43<\/td><\/tr>
                                CBI\u5b66\u4f1a2018\u5e74\u5927\u4f1a\u30dd\u30b9\u30bf\u30fc\u8cde\uff08Excellent Poster\uff09\uff1a\u677e\u5742\u606d\u6210<\/td><\/tr><\/tbody><\/table><\/figure>\n<\/div><\/div>\n<\/div><\/div>\n\n\n\n
                                \n

                                2017<\/strong><\/h3>\n\n\n\n
                                \n
                                \u7b2c11\u56de\u65e5\u672c\u7de9\u548c\u533b\u7642\u85ac\u5b66\u4f1a\u5e74\u4f1a\u512a\u79c0\u767a\u8868\u8cde\uff1a\u77f3\u5742\u4f73\u7f8e<\/td><\/tr><\/tbody><\/table><\/figure>\n<\/div><\/div>\n<\/div><\/div>\n\n\n\n
                                \n

                                2016<\/strong><\/h3>\n\n\n\n
                                \n
                                Exceptional quality paper\uff08\u512a\u79c0\u8ad6\u6587\uff09, Uesawa, et al., Quantitative Structure-cytotoxicity Relationship of 3-Benzylidenechromanones, Anticancer Research 36: 5803-5812: \u690d\u6ca2\u82b3\u5e83<\/td><\/tr>
                                \u5e73\u621027\u5e74\u5ea6\u5168\u56fd\u6e08\u751f\u4f1a\u75c5\u9662\u85ac\u5264\u5e2b\u4f1a\u512a\u79c0\u8ad6\u6587\u8cde\uff1a\u6c38\u4e95\u7d14\u5b50<\/td><\/tr>
                                \u7b2c10\u56de\u65e5\u672c\u7de9\u548c\u533b\u7642\u85ac\u5b66\u4f1a\u5e74\u4f1a\u512a\u79c0\u767a\u8868\u8cde\uff1a\u7d30\u8c37\u9f8d\u4e00\u90ce<\/td><\/tr><\/tbody><\/table><\/figure>\n<\/div><\/div>\n<\/div><\/div>\n\n\n\n
                                \n

                                2015<\/strong><\/h3>\n\n\n\n
                                \n
                                \u60c5\u5831\u8a08\u7b97\u5316\u5b66\u751f\u7269\u5b66\u4f1a2015\u5e74\u5927\u4f1a\u512a\u79c0\u30dd\u30b9\u30bf\u30fc\u8cde\uff1a\u6d45\u5b50\u7950\u5df1<\/td><\/tr>
                                \u5b66\u9577\u7814\u7a76\u5968\u52b1\u8cde\uff1a\u690d\u6ca2\u82b3\u5e83<\/td><\/tr>
                                Winner, Tox21 DATA Challenge 2014, NIH, USA\uff1a\u690d\u6ca2\u82b3\u5e83<\/td><\/tr><\/tbody><\/table><\/figure>\n<\/div><\/div>\n<\/div><\/div>\n\n\n\n
                                <\/div><\/div>\n\n\n\n

                                \u4f9d\u983c\u8b1b\u6f14<\/h2>\n\n\n\n
                                \n

                                2025<\/strong><\/h3>\n\n\n\n
                                \n
                                \u5927\u898f\u6a21\u8a00\u8a9e\u30e2\u30c7\u30eb\u306e\u6d3b\u7528\u306b\u3088\u308b\u85ac\u5b66\u30c7\u30fc\u30bf\u30b5\u30a4\u30a8\u30f3\u30b9\u6559\u80b2\u306e\u65b0\u5c55\u958b \uff5e\u5927\u898f\u6a21\u526f\u4f5c\u7528\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9\u89e3\u6790\u3092\u4f8b\u3068\u3057\u3066\uff5e<\/strong>\uff1a\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u65e5\u672c\u85ac\u5b66\u4f1a\u7b2c145\u5e74\u4f1a\u30012025\/3\u3001\u798f\u5ca1<\/td><\/tr>
                                \u30aa\u30d4\u30aa\u30a4\u30c9\u3068\u526f\u4f5c\u7528\u306e\u8907\u96d1\u306a\u95a2\u4fc2\u3092\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9\u304b\u3089\u8aad\u307f\u89e3\u304f<\/strong>\uff1a\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u7b2c18\u56de\u65e5\u672c\u7de9\u548c\u533b\u7642\u85ac\u5b66\u4f1a\u5e74\u4f1a\u30012025\/6\u3001\u5343\u8449<\/td><\/tr>
                                \u526f\u4f5c\u7528\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9\u3068\u5316\u5b66\u69cb\u9020\u60c5\u5831\u3092\u7528\u3044\u305f\u6bd2\u6027\u4e88\u6e2c<\/strong>\uff1a\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u5927\u962a\u5927\u5b66\u6570\u7406\u30c7\u30fc\u30bf\u79d1\u5b66\u6559\u80b2\u7814\u7a76\u30bb\u30f3\u30bf\u30fc\u30fbAI\u30c7\u30fc\u30bf\u5229\u6d3b\u7528\u7814\u7a76\u4f1a\u7b2c93\u56de\u30bb\u30df\u30ca\u30fc\uff08WEB\u958b\u50ac\uff09\u30012025\/6<\/td><\/tr>
                                \u81ea\u767a\u5831\u544a\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9\u306e\u7814\u7a76\u7684\u6d3b\u7528\u3068\u5b9f\u88c5\u306b\u5411\u3051\u305f\u8ab2\u984c\u3068\u5c55\u671b<\/strong>\uff1a\u671d\u7530\u745e\u7a42<\/span>\u3001\u533b\u7642\u85ac\u5b66\u30d5\u30a9\u30fc\u30e9\u30e02025\u30012025\/6\u3001\u65ed\u5ddd<\/td><\/tr>
                                \u526f\u4f5c\u7528\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9\u306e\u5229\u6d3b\u7528\uff5e\u57fa\u790e\u304b\u3089AI\u6d3b\u7528\u4e8b\u4f8b\u307e\u3067\uff5e<\/strong>\uff1a\u690d\u6ca2\u82b3\u5e83<\/span>\u30016th Ain Innovative Conference 2025\u30012025\/7\u3001\u6771\u4eac<\/td><\/tr>
                                \u526f\u4f5c\u7528\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9\u89e3\u6790\u306b\u304a\u3051\u308bAI\u6280\u8853\u306e\u6d3b\u7528<\/strong>\uff1a\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u7b2c11\u56de\u65e5\u672c\u533b\u85ac\u54c1\u5b89\u5168\u6027\u5b66\u4f1a\u5b66\u8853\u5927\u4f1a\u30012025\/8\u3001\u540d\u53e4\u5c4b<\/td><\/tr>
                                \u81e8\u5e8a\u73fe\u5834\u304b\u3089\u306f\u3058\u307e\u308b\u526f\u4f5c\u7528\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9\u89e3\u6790<\/strong>\uff1a\u83c5\u3000\u88d5\u4eae<\/span>\u3001\u7b2c11\u56de\u65e5\u672c\u533b\u85ac\u54c1\u5b89\u5168\u6027\u5b66\u4f1a\u5b66\u8853\u5927\u4f1a\u30012025\/8\u3001\u540d\u53e4\u5c4b<\/td><\/tr>
                                \u611f\u67d3\u75c7\u6cbb\u7642\u85ac\u5b89\u5168\u5bfe\u7b56\u90e8\u4f1a\u306e\u6d3b\u52d5\u30ad\u30c3\u30af\u30aa\u30d5<\/strong>\uff1a\u5ca1\u7530\u8ce2\u4e8c<\/span>\u3001\u7b2c11\u56de\u65e5\u672c\u533b\u85ac\u54c1\u5b89\u5168\u6027\u5b66\u4f1a\u5b66\u8853\u5927\u4f1a\u30012025\/8\u3001\u540d\u53e4\u5c4b<\/td><\/tr>
                                Integrating FAERS pharmacovigilance with structure-based QSAR to profile molecular initiating events: A case study of antineoplastic-associated oral mucositis<\/strong>: Uesawa Y<\/span>,40th Fall International Symposium of The Korean Society of Environmental Health and Toxicology, 2025\/11, Busan, Republic of Korea<\/td><\/tr>
                                Mechanistic analysis of antineoplastic agent\u2013induced oral mucositis risk using the machine learning\u2013based molecular initiating event prediction system \u201cToxicity Predictor\u201d<\/strong>: Uesawa Y<\/span>, CCSIS Phnom Penh 2025, 2025\/12, Cambodia<\/td><\/tr><\/tbody><\/table><\/figure>\n<\/div><\/div>\n<\/div><\/div>\n\n\n\n
                                \n

                                2024<\/strong><\/h3>\n\n\n\n
                                \n
                                \u5206\u5b50\u958b\u59cb\u30a4\u30d9\u30f3\u30c8\u304a\u3088\u3073\u4e3b\u8981\u30a4\u30d9\u30f3\u30c8\u306b\u57fa\u3065\u304f\u6bd2\u6027\u4e88\u6e2c\u30e2\u30c7\u30eb\u306e\u958b\u767a<\/strong>\uff1a\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u65e5\u672c\u85ac\u5b66\u4f1a\u7b2c144\u5e74\u4f1a\u30012024\/3\u3001\u6a2a\u6d5c<\/td><\/tr>
                                \u526f\u4f5c\u7528\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9\u3068\u6838\u5185\u53d7\u5bb9\u4f53\u6d3b\u6027\u4e88\u6e2c\u30b7\u30b9\u30c6\u30e0Toxicity predictor\u306e\u4f75\u7528\u306b\u3064\u3044\u3066<\/strong>\uff1a\u7d30\u8c37\u9f8d\u4e00\u90ce<\/span>\u3001\u7b2c17\u56de\u65e5\u672c\u7de9\u548c\u533b\u7642\u85ac\u5b66\u4f1a\u5e74\u4f1a\u30012024\/5\u3001\u6771\u4eac<\/td><\/tr>
                                Toxicity predictor: A tool to predict biochemical pathways related to toxicities from chemical structures<\/strong>: Uesawa Y<\/span>, ICPAC Mongolia 2024, 2024\/8, Ulaanbaatar, Mongolia<\/td><\/tr>
                                \u5b9a\u91cf\u7684\u69cb\u9020\u6d3b\u6027\u76f8\u95a2(QSAR)\u89e3\u6790\u6cd5\u3092\u7528\u3044\u305f\u6bd2\u6027\u7814\u7a76\u306e\u57fa\u790e<\/strong>\uff1a\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u7b2c25\u56de\u5fdc\u7528\u85ac\u7406\u30b7\u30f3\u30dd\u30b8\u30a6\u30e0\u30012024\/9\u3001\u6e05\u702c<\/td><\/tr>
                                Ames\/QSAR\u56fd\u969b\u30c1\u30e3\u30ec\u30f3\u30b8\u304a\u3088\u3073Tox24\u30c1\u30e3\u30ec\u30f3\u30b8\u304b\u3089\u307f\u305fQSAR\u4e88\u6e2c\u306e\u5230\u9054\u70b9<\/strong>\uff1a\u690d\u6ca2\u82b3\u5e83<\/span>\u3001CBI\u5b66\u4f1a2024\u5e74\u5927\u4f1a\u30012024\/10\u3001\u8239\u5800<\/td><\/tr>
                                \u8a08\u7b97ADMET\u7814\u7a76\u4f1a10\u5468\u5e74\u8a18\u5ff5 \u2013 \u5c06\u6765\u5c55\u671b<\/strong>\uff1a\u690d\u6ca2\u82b3\u5e83<\/span>\u3001CBI\u5b66\u4f1a2024\u5e74\u5927\u4f1a\u30012024\/10\u3001\u8239\u5800<\/td><\/tr>
                                \u5316\u5b66\u69cb\u9020\u60c5\u5831\u306b\u57fa\u3065\u304f\u751f\u7406\u6d3b\u6027\u4e88\u6e2c\u306e\u57fa\u790e<\/strong>\uff1a\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u7b2c34\u56de\u65e5\u672c\u533b\u7642\u85ac\u5b66\u4f1a\u5e74\u4f1a\u30012024\/11\u3001\u5e55\u5f35<\/td><\/tr>
                                \u5927\u898f\u6a21\u526f\u4f5c\u7528\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9\u3092\u7528\u3044\u305f\u304c\u3093\u85ac\u7269\u7642\u6cd5\u306b\u95a2\u3059\u308b\u85ac\u5b66\u7684\u691c\u8a0e<\/strong>\uff1a\u5965\u4e2d\u771f\u767d<\/span>\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u7b2c34\u56de\u65e5\u672c\u533b\u7642\u85ac\u5b66\u4f1a\u5e74\u4f1a\u30012024\/11\u3001\u5e55\u5f35<\/td><\/tr>
                                Development of a novel bioactivity prediction system using molecular images<\/strong>: Uesawa Y<\/span>, Duksung Innovative Drug Center-Pharmaceutical Research Institute Joint Symposium, 2024\/11, Busan, Republic of Korea<\/td><\/tr><\/tbody><\/table><\/figure>\n<\/div><\/div>\n<\/div><\/div>\n\n\n\n
                                \n

                                2023<\/strong><\/h3>\n\n\n\n
                                \n
                                AI\u3068\u5316\u5b66\u7269\u8cea\u306e\u69cb\u9020\u60c5\u5831\u304c\u62d3\u304f\u6bd2\u6027\u4e88\u6e2c\u306e\u672a\u6765<\/strong>\uff1a\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u4e00\u822c\u8ca1\u56e3\u6cd5\u4eba\u65e5\u672c\u81ea\u52d5\u8eca\u7814\u7a76\u6240\u4e3b\u50ac\u8b1b\u6f14\u4f1a\u30012023\/1\u3001\u6771\u4eac<\/td><\/tr>
                                \u5316\u5b66\u7684\u7740\u60f3\u306b\u57fa\u3065\u304f\u6709\u5bb3\u4e8b\u8c61\u5831\u544a\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9\u3092\u7528\u3044\u305f\u4eee\u8aac\u751f\u6210\u3068\u5275\u85ac\u7814\u7a76\u3078\u306e\u5c55\u671b<\/strong>\uff1a\u6e05\u6c34\u3000\u5fe0\u3001\u5c71\u5ca1\u5065\u592a\u3001\u85e4\u539f\u6b63\u898f\u3001\u5185\u7530\u307e\u3084\u3053\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u9060\u85e4\u672a\u6765\u3001\u4e94\u5cf6\u3000\u8aa0\u3001\u5ba4\u4e95\u5ef6\u4e4b\u3001\u7b2c25\u56de\u65e5\u672c\u533b\u85ac\u54c1\u60c5\u5831\u5b66\u4f1a\u7dcf\u4f1a\u30fb\u5b66\u8853\u5927\u4f1a\u30012023\/6\u3001\u4eac\u90fd<\/td><\/tr>
                                \u526f\u4f5c\u7528\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9\u7814\u7a76\u4e8b\u59cb\u3081<\/strong>\uff1a\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u7b2c9\u56de\u65e5\u672c\u533b\u85ac\u54c1\u5b89\u5168\u6027\u5b66\u4f1a\u5b66\u8853\u5927\u4f1a\u30012023\/7\u3001\u6e05\u702c<\/td><\/tr>
                                \u5927\u898f\u6a21\u526f\u4f5c\u7528\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9\u3092\u7528\u3044\u305f\u304c\u3093\u85ac\u7269\u7642\u6cd5\u306b\u95a2\u3059\u308b\u85ac\u5b66\u7684\u691c\u8a0e<\/strong>\uff1a\u5965\u4e2d\u771f\u767d<\/span>\u3001\u7b2c9\u56de\u65e5\u672c\u533b\u85ac\u54c1\u5b89\u5168\u6027\u5b66\u4f1a\u5b66\u8853\u5927\u4f1a\u30012023\/7\u3001\u6e05\u702c<\/td><\/tr>
                                AI \u3068\u5316\u5b66\u7269\u8cea\u306e\u69cb\u9020\u60c5\u5831\u3092\u6d3b\u7528\u3057\u305f\u65b0\u6642\u4ee3\u306e\u6bd2\u6027\u4e88\u6e2c\u6226\u7565<\/strong>\uff1a\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u7b2c64\u56de\u5927\u6c17\u74b0\u5883\u5b66\u4f1a\u5e74\u4f1a\u30012023\/9\u3001\u3064\u304f\u3070<\/td><\/tr>
                                \u533b\u85ac\u54c1\u526f\u4f5c\u7528\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9\u306b\u57fa\u3065\u304f\u6709\u5bb3\u53cd\u5fdc\u8a98\u767a\u30e1\u30ab\u30cb\u30ba\u30e0\u306e\u89e3\u6790<\/strong>\uff1a\u690d\u6ca2\u82b3\u5e83<\/span>\u3001MOE\u30d5\u30a9\u30fc\u30e9\u30e02023\uff08Web\u958b\u50ac\uff09\u30012023\/9<\/td><\/tr>
                                \u6bd2\u6027\u30fb\u526f\u4f5c\u7528\u7814\u7a76\u306b\u304a\u3051\u308b\u4eba\u5de5\u77e5\u80fd\u306e\u6709\u7528\u6027<\/strong>\uff1a\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u7b2c67\u56de\u65e5\u672c\u85ac\u5b66\u4f1a\u95a2\u6771\u652f\u90e8\u5927\u4f1a\u30012023\/9\u3001\u6e05\u702c<\/td><\/tr>
                                \u8a08\u7b97ADMET\u7814\u7a76\u4f1a\uff08\u65e7\u30fb\u8a08\u7b97\u6bd2\u6027\u5b66\u7814\u7a76\u4f1a\uff09\u4e3b\u67fb\u5c31\u4efb\u306e\u6328\u62f6\u3068\u4eca\u5f8c\u306e\u5c55\u671b<\/strong>\uff1a\u690d\u6ca2\u82b3\u5e83<\/span>\u3001CBI\u5b66\u4f1a2023\u5e74\u5927\u4f1a\u30012023\/10\u3001\u8239\u5800<\/td><\/tr>
                                \u526f\u4f5c\u7528\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9\u3092\u7528\u3044\u305f\u6bd2\u6027\u767a\u73fe\u7d4c\u8def\u306e\u63a8\u5b9a\u3068\u5927\u898f\u6a21\u8a00\u8a9e\u30e2\u30c7\u30eb\u306e\u6d3b\u7528<\/strong>\uff1a\u690d\u6ca2\u82b3\u5e83<\/span>\u3001CBI\u5b66\u4f1a2023\u5e74\u5927\u4f1a\u30012023\/10\u3001\u8239\u5800<\/td><\/tr>
                                Ai modeling of structure-toxicity relationship with adverse outcome pathway(AOP) concepts<\/strong>: Ueaswa Y<\/span>, 2023 Fall Convention of KOSEHT, 2023\/11, Republic of Korea<\/td><\/tr>
                                \u526f\u4f5c\u7528\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9\u89e3\u6790\u6982\u8ad6<\/strong>\uff1a\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u65e5\u672c\u533b\u85ac\u54c1\u5b89\u5168\u6027\u5b66\u4f1a\u526f\u4f5c\u7528\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9\u6d3b\u52d5\u90e8\u4f1a\uff08Web\u958b\u50ac\uff09\u30012023\/12<\/td><\/tr><\/tbody><\/table><\/figure>\n<\/div><\/div>\n<\/div><\/div>\n\n\n\n
                                \n

                                2022<\/strong><\/h3>\n\n\n\n
                                \n
                                \u5927\u898f\u6a21\u81ea\u767a\u5831\u544a\u6709\u5bb3\u4e8b\u8c61\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9\u3092\u7528\u3044\u305f\u809d\u767a\u764c\u6027\u85ac\u7269\u4e88\u6e2c\u30e2\u30c7\u30eb\u306e\u69cb\u7bc9\u3068\u89e3\u6790<\/strong>\uff1a\u9ed2\ufa11\u5b8f\u592a<\/span>\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u65e5\u672c\u85ac\u5b66\u4f1a\u7b2c142\u5e74\u4f1a\u30b7\u30f3\u30dd\u30b8\u30a6\u30e0\uff08Web\u958b\u50ac\uff09\u30012022\/3<\/td><\/tr>
                                COVID-19\u30ef\u30af\u30c1\u30f3\u63a5\u7a2e\u5f8c\u306e\u585e\u6813\u53ca\u3073\u8840\u6813\u75c7\u3068\u30ef\u30af\u30c1\u30f3\u30bf\u30a4\u30d7\u306e\u95a2\u4fc2<\/strong>\uff1a\u83c5\u3000\u88d5\u4eae<\/span>\u3001\u7b2c15\u56de\u65e5\u672c\u7de9\u548c\u533b\u7642\u85ac\u5b66\u4f1a\u5e74\u4f1a\uff08Web\u958b\u50ac\uff09\u30012022\/5<\/td><\/tr>
                                \u85ac\u5264\u6027\u3057\u3083\u3063\u304f\u308a\u306e\u8b0e\uff5eFAERS\u3092\u7528\u3044\u305f\u63a2\u7d22\u7684\u7814\u7a76\uff5e<\/strong>\uff1a\u7d30\u8c37\u9f8d\u4e00\u90ce<\/span>\u3001\u7b2c15\u56de\u65e5\u672c\u7de9\u548c\u533b\u7642\u85ac\u5b66\u4f1a\u5e74\u4f1a\uff08Web\u958b\u50ac\uff09\u30012022\/5<\/td><\/tr>
                                \u30d3\u30c3\u30b0\u30c7\u30fc\u30bf\u89e3\u6790\u3068\u8a08\u7b97\u6bd2\u6027\u5b66\u306b\u57fa\u3065\u304f\u809d\u767a\u304c\u3093\u6027\u4e88\u6e2c<\/strong>\uff1a\u9ed2\ufa11\u5b8f\u592a<\/span>\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u7b2c49\u56de\u65e5\u672c\u6bd2\u6027\u5b66\u4f1a\u5b66\u8853\u5e74\u4f1a\u30b7\u30f3\u30dd\u30b8\u30a6\u30e0\u30012022\/6\u3001\u672d\u5e4c<\/td><\/tr>
                                \u30b1\u30e2\u30a4\u30f3\u30d5\u30a9\u30de\u30c6\u30a3\u30af\u30b9\u304c\u62d3\u304f\u85ac\u7269\u6709\u5bb3\u53cd\u5fdc\u4e88\u6e2c<\/strong><\/a>\uff1a\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u660e\u6cbb\u85ac\u79d1\u5927\u5b66 \u5275\u5b66120\u5468\u5e74\u8a18\u5ff5\u5f0f\u5178\u30fb\u8a18\u5ff5\u8b1b\u6f14\u4f1a\u30012022\/10\u3001\u6771\u4eac<\/td><\/tr>
                                \u5206\u5b50\u753b\u50cf\u3092\u7528\u3044\u305f QSAR \u89e3\u6790\uff1aDeepSnap \u6cd5\u306e\u958b\u767a\u306e\u73fe\u72b6<\/strong>\uff1a\u690d\u6ca2\u82b3\u5e83<\/span>\u3001CBI\u5b66\u4f1a2022\u5e74\u5927\u4f1a\u30012022\/10\u3001\u6771\u4eac<\/td><\/tr>
                                Quantitative Structure-Activity Relationship analysis using molecular images<\/strong>: Uesawa Y<\/span>, Matsuzaka Y<\/span>, International Congress on Pure & Applied Chemistry Kota Kinabalu ICPAC KK 2022, 2022\/11, Malaysia<\/td><\/tr>
                                DX\u3092\u901a\u3057\u305f\u85ac\u7406\u5b66\u306e\u672a\u6765\uff5e\u30d3\u30c3\u30b0\u30c7\u30fc\u30bf\u3068\u5316\u5b66\u69cb\u9020\u89e3\u6790\u304c\u62d3\u304f\u6bd2\u6027\u30fb\u526f\u4f5c\u7528\u7814\u7a76\uff5e<\/strong>\uff1a\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u7b2c96\u56de\u65e5\u672c\u85ac\u7406\u5b66\u4f1a\u5e74\u4f1a\u30012022\/11\u3001\u6a2a\u6d5c<\/td><\/tr>
                                \u30b1\u30e2\u30a4\u30f3\u30d5\u30a9\u30de\u30c6\u30a3\u30af\u30b9\u3092\u6d3b\u7528\u3057\u305f\u6a5f\u68b0\u5b66\u7fd2\u306b\u3088\u308b\u5316\u5b66\u69cb\u9020\u306e\u6bd2\u6027\u8a55\u4fa1<\/strong>\uff1a\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u7b2c43\u56de\u65e5\u672c\u81e8\u5e8a\u85ac\u7406\u5b66\u4f1a\u5b66\u8853\u7dcf\u4f1a\u30012022\/12\u3001\u6a2a\u6d5c<\/td><\/tr><\/tbody><\/table><\/figure>\n<\/div><\/div>\n<\/div><\/div>\n\n\n\n
                                \n

                                2021<\/strong><\/h3>\n\n\n\n
                                \n
                                \u30d3\u30c3\u30af\u30c7\u30fc\u30bf\u306b\u3088\u308b\u533b\u85ac\u54c1\u306e\u526f\u4f5c\u7528\u89e3\u6790\u3068\u533b\u85ac\u54c1\u5b89\u5168\u4f7f\u7528<\/strong>\uff1a\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u533b\u85ac\u54c1\u5b89\u5168\u7ba1\u7406\u7814\u4fee\u4f1a2021\u5e74\uff08Web\u958b\u50ac\uff09\u30012021\/1<\/td><\/tr>
                                \u5316\u5b66\u54c1\u306eQSAR\u6bd2\u6027\u4e88\u6e2c<\/strong>\uff1a\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u4ee4\u548c2\u5e74\u5ea6 \u7b2c4\u56deAI-SHIPS\u30b3\u30f3\u30bd\u30fc\u30b7\u30a2\u30e0\uff08Web\u958b\u50ac\uff09\u30012021\/2<\/td><\/tr>
                                In vitro\u5b9f\u9a13\u5024\u53ca\u3073\u30a8\u30f3\u30c9\u30dd\u30a4\u30f3\u30c8\u306e\u4e88\u6e2c\u30e2\u30c7\u30eb\u306e\u69cb\u7bc9<\/strong>\uff1a\u690d\u6ca2\u82b3\u5e83<\/span>\u30012020\u5e74\u5ea6\u7b2c2\u56deAI-SHIPS\u7814\u7a76\u958b\u767a\u63a8\u9032\u4f1a\u8b70\uff08Web\u958b\u50ac\uff09\u30012021\/3<\/td><\/tr>
                                In vitro\u5b9f\u9a13\u5024\u53ca\u3073\u30a8\u30f3\u30c9\u30dd\u30a4\u30f3\u30c8\u4e88\u6e2c\u30e2\u30c7\u30eb\u306e\u69cb\u7bc9\uff5e\u30e2\u30c7\u30eb\u958b\u767a\u30c1\u30fc\u30e0\u306e\u53d6\u7d44\u307f\uff5e<\/strong>\uff1a\u690d\u6ca2\u82b3\u5e83<\/span>\u30012021\u5e74\u5ea6\u7b2c1\u56deAI-SHIPS\u7814\u7a76\u958b\u767a\u63a8\u9032\u4f1a\u8b70\uff08Web\u958b\u50ac\uff09\u30012021\/10<\/td><\/tr>
                                \u526f\u4f5c\u7528\u60c5\u5831\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9\u89e3\u6790\u5165\u9580\u30bb\u30df\u30ca\u30fc\uff5eJADER\u30fbFAERS\u30fbVAERS\uff1a\u57fa\u790e\u304b\u3089\u6700\u65b0\u306e\u65b0\u578b\u30b3\u30ed\u30ca\u30ef\u30af\u30c1\u30f3\u89e3\u6790\u4e8b\u4f8b\u307e\u3067\uff5e<\/strong>\uff1a\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u60c5\u5831\u6a5f\u69cb\uff08Web\u958b\u50ac\uff09\u30012021\/10<\/td><\/tr>
                                \u751f\u7269\u5b66\u7684\u30e1\u30ab\u30cb\u30ba\u30e0\u306b\u57fa\u3065\u3044\u305f\u85ac\u5264\u6027\u809d\u304c\u3093\u8a98\u767a\u85ac\u7269\u4e88\u6e2c\u30e2\u30c7\u30eb\u306e\u69cb\u7bc9\u3068\u8a55\u4fa1<\/strong>\uff1a\u9ed2\ufa11\u5b8f\u592a<\/span>\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001CBI\u5b66\u4f1a2021\u5e74\u5927\u4f1a\uff08Web\u958b\u50ac\uff09\u30012021\/10<\/td><\/tr>
                                AI-SHIPS \u306b\u304a\u3051\u308b\u4e00\u822c\u5316\u5b66\u7269\u8cea\u306e\u6bd2\u6027\u4e88\u6e2c\u30e2\u30c7\u30eb\u69cb\u7bc9<\/strong>\uff1a\u690d\u6ca2\u82b3\u5e83<\/span>\u3001CBI\u5b66\u4f1a2021\u5e74\u5927\u4f1a\uff08Web\u958b\u50ac\uff09\u30012021\/10<\/td><\/tr><\/tbody><\/table><\/figure>\n<\/div><\/div>\n<\/div><\/div>\n\n\n\n
                                \n

                                2020<\/strong><\/h3>\n\n\n\n
                                \n
                                \u30b1\u30e2\u30a4\u30f3\u30d5\u30a9\u30de\u30c6\u30a3\u30af\u30b9\u3092\u6d3b\u7528\u3057\u305f\u5316\u5408\u7269\u306e\u6bd2\u6027\u8a55\u4fa1\u3068\u6a5f\u68b0\u5b66\u7fd2\u306e\u5fdc\u7528<\/strong>\uff1a\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u6280\u8853\u60c5\u5831\u5354\u4f1a\u30bb\u30df\u30ca\u30fc\u30012020\/1\u3001\u6771\u4eac<\/td><\/tr>
                                \u526f\u4f5c\u7528\u60c5\u5831\u30fb\u5316\u5b66\u69cb\u9020\u60c5\u5831\u30fb\u4eba\u5de5\u77e5\u80fd\u6280\u8853\u306e\u878d\u5408\u304c\u62d3\u304f\u533b\u85ac\u54c1\u306e\u5b89\u5168\u6027\u4e88\u6e2c<\/strong>\uff1a\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u5fb3\u5cf6\u5927\u5b66 \u30af\u30e9\u30b9\u30bf\u30fc\u30fb\u6982\u7b97\u5408\u540c\u30b7\u30f3\u30dd\u30b8\u30a6\u30e0\u30012020\/1\u3001\u5fb3\u5cf6<\/td><\/tr>
                                \u6838\u5185\u53d7\u5bb9\u4f53\u30fb\u30b9\u30c8\u30ec\u30b9\u5fdc\u7b54\u30d1\u30b9\u30a6\u30a7\u30a4\u304a\u3088\u3073\u5316\u5b66\u69cb\u9020\u60c5\u5831\u306e\u7d71\u5408\u30c7\u30fc\u30bf\u306b\u57fa\u3065\u304f\u85ac\u7269\u6027\u809d\u969c\u5bb3\u6027\u4e88\u6e2c\u30b7\u30b9\u30c6\u30e0\u306e\u958b\u767a<\/strong>\uff1a\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u65e5\u672c\u85ac\u5b66\u4f1a\u7b2c140\u5e74\u4f1a\uff08\u8a8c\u4e0a\u958b\u50ac\uff09\u30012020\/3\u3001\u4eac\u90fd<\/td><\/tr>
                                \u8a08\u7b97\u6bd2\u6027\u5b66\u306b\u57fa\u3065\u304fin silico\u6bd2\u6027\u4e88\u6e2c\u306e\u73fe\u72b6\u3068\u8ab2\u984c<\/strong>\uff1a\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u7b2c47\u56de\u65e5\u672c\u6bd2\u6027\u5b66\u4f1a\u5b66\u8853\u5e74\u4f1a\uff08Web\u958b\u50ac\uff09\u30012020\/6<\/td><\/tr><\/tbody><\/table><\/figure>\n<\/div><\/div>\n<\/div><\/div>\n\n\n\n
                                \n

                                2019<\/strong><\/h3>\n\n\n\n
                                \n
                                \u5316\u5b66\u69cb\u9020\u304b\u3089\u306e\u6709\u5bb3\u6027\u767a\u73fe\u4e88\u6e2c\u3000\uff5e\u4eba\u5de5\u77e5\u80fd\u6280\u8853\u306e\u9069\u7528\uff5e<\/strong>\uff1a\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u65e5\u672c\u85ac\u5b66\u4f1a\u7b2c139\u5e74\u4f1a\u30012019\/3\u3001\u5343\u8449<\/td><\/tr>
                                Quantitative Structure-Activity Relationship (QSAR) analysis using deep learning based on Deep Snap, a novel molecular image input technique<\/strong>: \u677e\u5742\u606d\u6210, \u7b2c2\u56de\u82e5\u624b\u306e\u4f1a\u8b1b\u6f14\u4f1a, 2019\/5, \u6771\u4eac<\/td><\/tr>
                                \u526f\u4f5c\u7528\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9\u306b\u57fa\u3065\u304f\u85ac\u5264\u6027\u809d\u969c\u5bb3\u8a98\u767a\u5316\u5408\u7269\u8b58\u5225\u30b7\u30b9\u30c6\u30e0\u306e\u958b\u767a<\/strong>\uff1a\u690d\u6ca2\u82b3\u5e83<\/span>\u30012019 BIOVIA USER CONFERENCE\u30012019\/5\u3001\u6771\u4eac<\/td><\/tr>
                                \u7de9\u548c\u533b\u7642\u306b\u304a\u3051\u308b\u30dd\u30ea\u30d5\u30a1\u30fc\u30de\u30b7\u30fc\u306b\u5bfe\u3059\u308b\u85ac\u5264\u5e2b\u306e\u4ecb\u5165\u306b\u95a2\u3059\u308b\u5168\u56fd\u5b9f\u614b\u8abf\u67fb<\/strong>\uff1a\u5185\u7530\u307e\u3084\u3053\u3001\u9234\u6728\u771f\u4e5f\u3001\u83c5\u3000\u5e78\u751f\u3001\u83c5\u539f\u82f1\u8f1d\u3001\u56fd\u5206\u79c0\u4e5f\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u4e2d\u5ddd\u8cb4\u4e4b\u3001\u9ad9\u702c\u4e45\u5149\u3001\u7b2c13\u56de\u65e5\u672c\u7de9\u548c\u533b\u7642\u85ac\u5b66\u4f1a\u5e74\u4f1a\u30012019\/6\u3001\u5343\u8449<\/td><\/tr>
                                \u7de9\u548c\u533b\u7642\u306b\u304a\u3051\u308b\u30dd\u30ea\u30d5\u30a1\u30fc\u30de\u30b7\u30fc\u306b\u5bfe\u3059\u308b\u85ac\u5264\u5e2b\u306e\u4ecb\u5165\u306b\u95a2\u3059\u308b\u524d\u5411\u304d\u89b3\u5bdf\u7814\u7a76<\/strong>\uff1a\u9234\u6728\u771f\u4e5f\u3001\u5185\u7530\u307e\u3084\u3053\u3001\u83c5\u3000\u5e78\u751f\u3001\u83c5\u539f\u82f1\u8f1d\u3001\u56fd\u5206\u79c0\u4e5f\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u4e2d\u5ddd\u8cb4\u4e4b\u3001\u9ad9\u702c\u4e45\u5149\u3001\u7b2c13\u56de\u65e5\u672c\u7de9\u548c\u533b\u7642\u85ac\u5b66\u4f1a\u5e74\u4f1a\u30012019\/6\u3001\u5343\u8449<\/td><\/tr>
                                JADER \u3092\u7528\u3044\u305f\u533b\u7642\u7528\u9ebb\u85ac\u306b\u3088\u308b\u6709\u5bb3\u4e8b\u8c61\u5831\u544a\u4ef6\u6570\u306e\u6642\u4ee3\u7684\u5909\u9077<\/strong>\uff1a\u83c5\u3000\u5e78\u751f\u3001\u5185\u7530\u307e\u3084\u3053\u3001\u9234\u6728\u771f\u4e5f\u3001\u83c5\u539f\u82f1\u8f1d\u3001\u9ce5\u8d8a\u4e00\u5b8f\u3001\u4e8c\u6751\u662d\u5f66\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u4e2d\u5ddd\u8cb4\u4e4b\u3001\u9ad9\u702c\u4e45\u5149\u3001\u7b2c13\u56de\u65e5\u672c\u7de9\u548c\u533b\u7642\u85ac\u5b66\u4f1a\u5e74\u4f1a\u30012019\/6\u3001\u5343\u8449<\/td><\/tr>
                                \u304c\u3093\u60a3\u8005\u306e\u30aa\u30d4\u30aa\u30a4\u30c9\u95a2\u9023\u547c\u5438\u6291\u5236\u306b\u95a2\u3059\u308b\u56fd\u5185\u6709\u5bb3\u4e8b\u8c61\u81ea\u767a\u5831\u544a\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9\uff08JADER\uff09\u3092\u7528\u3044\u305f\u89e3\u6790<\/strong>\uff1a\u83c5\u539f\u82f1\u8f1d\u3001\u5185\u7530\u307e\u3084\u3053\u3001\u9234\u6728\u771f\u4e5f\u3001\u83c5\u3000\u5e78\u751f\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u4e2d\u5ddd\u8cb4\u4e4b\u3001\u9ad9\u702c\u4e45\u5149\u3001\u7b2c13\u56de\u65e5\u672c\u7de9\u548c\u533b\u7642\u85ac\u5b66\u4f1a\u5e74\u4f1a\u30012019\/6\u3001\u5343\u8449<\/td><\/tr>
                                \u526f\u4f5c\u7528\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9\u3092\u7528\u3044\u3066\u93ae\u75db\u85ac\u306e\u526f\u4f5c\u7528\u3092\u79d1\u5b66\u3059\u308b<\/strong>\uff1a\u6c38\u4e95\u7d14\u5b50<\/span>\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u7b2c13\u56de\u65e5\u672c\u7de9\u548c\u533b\u7642\u85ac\u5b66\u4f1a\u5e74\u4f1a\u30012019\/6\u3001\u5343\u8449<\/td><\/tr>
                                \u6211\u304c\u56fd\u306e\u5927\u898f\u6a21\u526f\u4f5c\u7528\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9\u306b\u57fa\u3065\u304f\u30aa\u30d4\u30aa\u30a4\u30c9\u4f7f\u7528\u304c\u3093\u60a3\u8005\u306b\u304a\u3051\u308b\u547c\u5438\u6291\u5236\u306e\u691c\u8a0e<\/strong>\uff1a\u83c5\u539f\u82f1\u8f1d\u3001\u5185\u7530\u307e\u3084\u3053\u3001\u9234\u6728\u771f\u4e5f\u3001\u83c5\u3000\u5e78\u751f\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u4e2d\u5ddd\u8cb4\u4e4b\u3001\u9ad9\u702c\u4e45\u5149\u3001\u7b2c13\u56de\u65e5\u672c\u7de9\u548c\u533b\u7642\u85ac\u5b66\u4f1a\u5e74\u4f1a\u30012019\/6\u3001\u5343\u8449<\/td><\/tr>
                                \u6a5f\u68b0\u5b66\u7fd2\u3092\u5229\u7528\u3057\u305f\u533b\u85ac\u30fb\u5316\u5b66\u54c1\u306e\u5b89\u5168\u6027\u30ea\u30b9\u30af\u8a55\u4fa1\u4e8b\u4f8b\u306a\u3069<\/strong>\uff1a\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u6750\u6599\u79d1\u5b66\u6280\u8853\u632f\u8208\u8ca1\u56e3\uff08MST\uff09\u5185\u8b1b\u6f14\u4f1a\u30012019\/7\u3001\u6771\u4eac<\/strong><\/td><\/tr>
                                \u4f4e\u5206\u5b503D\u69cb\u9020\u306e\u753b\u50cf\u5316\u5165\u529b\u30b7\u30b9\u30c6\u30e0Deep Snap\u306e\u7d39\u4ecb\u3068\u6bd2\u6027\u4e88\u6e2c\u30fb\u526f\u4f5c\u7528\u4e88\u6e2c\u306e\u73fe\u72b6<\/strong>\uff1a\u690d\u6ca2\u82b3\u5e83<\/span>\u3001MOE\u30d5\u30a9\u30fc\u30e9\u30e02019\u30012019\/7\u3001\u6771\u4eac<\/td><\/tr>
                                \u533b\u85ac\u54c1\u526f\u4f5c\u7528\u81ea\u767a\u5831\u544a\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9JADER\u3092\u7528\u3044\u305f\u6559\u80b2\u3068\u7814\u7a76<\/strong>\uff1a\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u7b2c5\u56de\u533b\u85ac\u54c1\u5b89\u5168\u6027\u5b66\u4f1a\u5b66\u8853\u5927\u4f1a\u30012019\/7\u3001\u6771\u4eac<\/td><\/tr>
                                \u6bd2\u6027\u767a\u73fe\u7d4c\u8def\u304a\u3088\u3073\u5316\u5b66\u69cb\u9020\u60c5\u5831\u3092\u6307\u6a19\u3068\u3057\u305f\u85ac\u7269\u304a\u3088\u3073\u5316\u5b66\u7269\u8cea\u306b\u8d77\u56e0\u3059\u308b\u30d2\u30c8\u6709\u5bb3\u53cd\u5fdc\u306e\u4e88\u6e2c\u6cd5\u306e\u958b\u767a<\/strong>\uff1a\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u65e5\u672c\u5316\u5b66\u5de5\u696d\u5354\u4f1aLRI\u7814\u7a76\u5831\u544a\u4f1a\u30012019\/8\u3001\u6771\u4eac<\/td><\/tr>
                                \u7de9\u548c\u30b1\u30a2\u9818\u57df\u306b\u304a\u3051\u308b\u30dd\u30ea\u30d5\u30a1\u30fc\u30de\u30b7\u30fc\u306e\u73fe\u72b6\u3068\u75c5\u9662\/\u85ac\u5c40\u85ac\u5264\u5e2b\u306e\u4ecb\u5165\u5b9f\u614b\u306b\u95a2\u3059\u308b\u5168\u56fd\u30a2\u30f3\u30b1\u30fc\u30c8\u8abf\u67fb<\/strong>\uff1a\u4e2d\u5ddd\u8cb4\u4e4b\u3001\u9234\u6728\u771f\u4e5f\u3001\u5185\u7530\u307e\u3084\u3053\u3001\u83c5\u539f\u82f1\u8f1d\u3001\u83c5\u3000\u5e78\u751f\u3001\u56fd\u5206\u79c0\u4e5f\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u9ad9\u702c\u4e45\u5149\u3001\u7b2c49\u56de\u65e5\u672c\u795e\u7d4c\u7cbe\u795e\u85ac\u7406\u5b66\u4f1a\u7b2c29\u56de\u65e5\u672c\u81e8\u5e8a\u7cbe\u795e\u795e\u7d4c\u85ac\u7406\u5b66\u4f1a\u5408\u540c\u5e74\u4f1a\u30b7\u30f3\u30dd\u30b8\u30a6\u30e0\u30012019\/10\u3001\u798f\u5ca1<\/td><\/tr>
                                \u7de9\u548c\u30b1\u30a2\u9818\u57df\u306b\u304a\u3051\u308b\u304c\u3093\u60a3\u8005\u3092\u5bfe\u8c61\u3068\u3057\u305f\u591a\u5264\u4f75\u7528\u3078\u306e\u75c5\u9662\u30fb\u85ac\u5c40\u85ac\u5264\u5e2b\u306b\u3088\u308b\u85ac\u5264\u6e1b\u85ac\u6e1b\u91cf\u306b\u95a2\u3059\u308b\u591a\u65bd\u8a2d\u524d\u5411\u304d\u89b3\u5bdf\u7814\u7a76<\/strong>\uff1a\u5185\u7530\u307e\u3084\u3053\u3001\u9234\u6728\u771f\u4e5f\u3001\u83c5\u3000\u5e78\u751f\u3001\u83c5\u539f\u82f1\u8f1d\u3001\u56fd\u5206\u79c0\u4e5f\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u4e2d\u5ddd\u8cb4\u4e4b\u3001\u9ad9\u702c\u4e45\u5149\u3001\u7b2c49\u56de\u65e5\u672c\u795e\u7d4c\u7cbe\u795e\u85ac\u7406\u5b66\u4f1a\u7b2c29\u56de\u65e5\u672c\u81e8\u5e8a\u7cbe\u795e\u795e\u7d4c\u85ac\u7406\u5b66\u4f1a\u5408\u540c\u5e74\u4f1a\u30b7\u30f3\u30dd\u30b8\u30a6\u30e0\u30012019\/10\u3001\u798f\u5ca1<\/td><\/tr>
                                \u6211\u304c\u56fd\u306e\u5927\u898f\u6a21\u533b\u85ac\u54c1\u526f\u4f5c\u7528\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9JADER\u306b\u57fa\u3065\u304f\u30aa\u30d4\u30aa\u30a4\u30c9\u95a2\u9023\u6709\u5bb3\u4e8b\u8c61\u306e\u89e3\u6790<\/strong>\uff1a\u83c5\u539f\u82f1\u8f1d\u3001\u83c5\u3000\u5e78\u751f\u3001\u5185\u7530\u307e\u3084\u3053\u3001\u9234\u6728\u771f\u4e5f\u3001\u690d\u6ca2\u82b3\u5e83\u3001\u4e2d\u5ddd\u8cb4\u4e4b\u3001\u9ad9\u702c\u4e45\u5149\u3001\u7b2c49\u56de\u65e5\u672c\u795e\u7d4c\u7cbe\u795e\u85ac\u7406\u5b66\u4f1a\u7b2c29\u56de\u65e5\u672c\u81e8\u5e8a\u7cbe\u795e\u795e\u7d4c\u85ac\u7406\u5b66\u4f1a\u5408\u540c\u5e74\u4f1a\u30b7\u30f3\u30dd\u30b8\u30a6\u30e0\u30012019\/10\u3001\u798f\u5ca1<\/td><\/tr>
                                AI\u3068QSAR\u306b\u57fa\u3065\u304f\u6bd2\u6027\u8a55\u4fa1\u306e\u73fe\u72b6\u3068\u5c55\u671b<\/strong>\uff1a\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u65e5\u672c\u8fb2\u85ac\u793e\u5185\u8b1b\u6f14\u4f1a\u30012019\/10\u3001\u5927\u962a<\/td><\/tr>
                                \u6709\u5bb3\u6027\u767a\u73fe\u7d4c\u8def\u306b\u57fa\u3065\u304f\u5316\u5b66\u54c1\u809d\u6bd2\u6027\u306eQSAR\u4e88\u6e2c<\/strong>\uff1a\u690d\u6ca2\u82b3\u5e83<\/span>\u3001CBI\u5b66\u4f1a2019\u5e74\u5927\u4f1a\u30012019\/10\u3001\u6771\u4eac<\/td><\/tr>
                                \u81e8\u5e8a\u60c5\u5831\u3092\u7528\u3044\u305f\u5403\u9006\u306e\u30ea\u30b9\u30af\u56e0\u5b50\u3068\u305d\u306e\u6cbb\u7642\u306b\u95a2\u3059\u308b\u7814\u7a76<\/strong>\uff1a\u7d30\u8c37\u9f8d\u4e00\u90ce<\/span>\u3001\u7530\u4e2d\u4e00\u5e73\u3001\u77f3\u5742\u7bc4\u5b50\u3001\u6c38\u6751\u967d\u4e00\u90ce\u3001\u91ce\u6fa4\uff08\u77f3\u4e95\uff09\u73b2\u5b50\u3001\u7db2\u91ce\u3000\u731b\u3001\u938c\u7530\u667a\u5e78\u3001\u65e5\u91ce\u6589\u4e00\u3001\u52a0\u8cc0\u8c37\u8087\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u7b2c29\u56de\u65e5\u672c\u533b\u7642\u85ac\u5b66\u4f1a\u5e74\u4f1a\u30012019\/11\u3001\u798f\u5ca1<\/td><\/tr>
                                \u7de9\u548c\u533b\u7642\u9818\u57df\u306b\u304a\u3051\u308b\u30dd\u30ea\u30d5\u30a1\u30fc\u30de\u30b7\u30fc\u306b\u5bfe\u3059\u308b\u85ac\u5264\u5e2b\u306e\u4ecb\u5165\u306b\u95a2\u3059\u308b\u5168\u56fd\u5b9f\u614b\u8abf\u67fb<\/strong>\uff1a\u5185\u7530\u307e\u3084\u3053\u3001\u9234\u6728\u771f\u4e5f\u3001\u83c5\u3000\u5e78\u751f\u3001\u83c5\u539f\u82f1\u8f1d\u3001\u56fd\u5206\u79c0\u4e5f\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u4e2d\u5ddd\u8cb4\u4e4b\u3001\u9ad8\u702c\u4e45\u5149\u3001\u7b2c29\u56de\u65e5\u672c\u533b\u7642\u85ac\u5b66\u4f1a\u5e74\u4f1a\u30012019\/11\u3001\u798f\u5ca1<\/td><\/tr>
                                \u30dd\u30ea\u30d5\u30a1\u30fc\u30de\u30b7\u30fc\u306b\u304a\u3051\u308b\u85ac\u5264\u5e2b\u4ecb\u5165\u52b9\u679c\u306b\u95a2\u3059\u308b\u524d\u5411\u304d\u89b3\u5bdf\u7814\u7a76<\/strong>\uff1a\u9234\u6728\u771f\u4e5f\u3001\u5185\u7530\u307e\u3084\u3053\u3001\u83c5\u3000\u5e78\u751f\u3001\u83c5\u539f\u82f1\u8f1d\u3001\u56fd\u5206\u79c0\u4e5f\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u4e2d\u5ddd\u8cb4\u4e4b\u3001\u9ad8\u702c\u4e45\u5149\u3001\u7b2c29\u56de\u65e5\u672c\u533b\u7642\u85ac\u5b66\u4f1a\u5e74\u4f1a\u30012019\/11\u3001\u798f\u5ca1<\/td><\/tr>
                                QSAR\u3092\u7528\u3044\u305f\u6bd2\u6027\u4e88\u6e2c\u306e\u73fe\u72b6\u3068\u8ab2\u984c<\/strong>\uff1a\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u5fae\u751f\u7269\u5909\u7570\u539f\u6027\u8a66\u9a13\u7814\u7a76\u4f1a\uff08JEMS\u30fbBMS\uff09\u7b2c62\u56de\u30fb\u54fa\u4e73\u52d5\u7269\u8a66\u9a13\u7814\u7a76\u4f1a\uff08JEMS\u30fbMMS\uff09\u7b2c75\u56de\u5408\u540c\u5b9a\u4f8b\u4f1a\u30012019\/11\u3001\u6771\u4eac<\/td><\/tr><\/tbody><\/table><\/figure>\n<\/div><\/div>\n<\/div><\/div>\n\n\n\n
                                \n

                                2018<\/strong><\/h3>\n\n\n\n
                                \n
                                \u4eba\u5de5\u77e5\u80fdAI\u30fb\u6bd2\u6027\u95a2\u9023\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9\u3092\u7528\u3044\u305f\u5316\u5b66\u7269\u8cea\u5b89\u5168\u6027\u4e88\u6e2c\u624b\u6cd5\u3068\u5b9f\u65bd\u306e\u30dd\u30a4\u30f3\u30c8<\/strong>\uff1a\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u30b5\u30a4\u30a8\u30f3\u30b9\uff06\u30c6\u30af\u30ce\u30ed\u30b8\u30fc\u30012018\/3\u3001\u6771\u4eac<\/td><\/tr>
                                \u4eba\u5de5\u77e5\u80fd\u304c\u52a0\u901f\u3059\u308b\u533b\u85ac\u30fb\u5316\u5b66\u54c1\u306e\u5b89\u5168\u6027\u8a55\u4fa1<\/strong>\uff1a\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u69cb\u9020\u6d3b\u6027\u30d5\u30a9\u30fc\u30e9\u30e02018\u30012018\/6\u3001\u4eac\u90fd<\/td><\/tr>
                                \u75bc\u75db\u7de9\u548c\u9818\u57df\u306b\u304a\u3051\u308b\u65b0\u898f\u533b\u85ac\u54c1\u306e\u85ac\u7269\u52d5\u614b\u7684\u7279\u5fb4\u304a\u3088\u3073\u526f\u4f5c\u7528\u306e\u89e3\u6790<\/strong>\uff1a\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u7b2c23\u56de\u65e5\u672c\u7de9\u548c\u533b\u7642\u5b66\u4f1a\u5b66\u8853\u5927\u4f1a\u30012018\/6\u3001\u795e\u6238<\/td><\/tr>
                                \u660e\u6cbb\u85ac\u79d1\u5927\u5b66\u306b\u304a\u3051\u308b\u30a4\u30f3\u30d5\u30a9\u30de\u30c6\u30a3\u30af\u30b9\u30b7\u30b9\u30c6\u30e0\u958b\u767a\u306e\u7d39\u4ecb<\/strong>\uff1a\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u809d\u6bd2\u6027\u4e88\u6e2c\u306e\u305f\u3081\u306e\u30a4\u30f3\u30d5\u30a9\u30de\u30c6\u30a3\u30af\u30b9\u30b7\u30b9\u30c6\u30e0\u69cb\u7bc9\u306b\u95a2\u3059\u308b\u7814\u7a76 \u516c\u958b\u30bb\u30df\u30ca\u30fc\u30012018\/7\u3001\u5927\u962a<\/td><\/tr>
                                \u6bd2\u6027\u5206\u5b50\u306e\u751f\u4f53\u5185\u521d\u671f\u53cd\u5fdc\u89e3\u6790\u306b\u57fa\u3065\u304f\u6bd2\u6027\u4e88\u6e2c\u6226\u7565<\/strong>\uff1a\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u7b2c45\u56de\u65e5\u672c\u6bd2\u6027\u5b66\u4f1a\u5b66\u8853\u5e74\u4f1a\u30012018\/7\u3001\u5927\u962a<\/td><\/tr>
                                \u5927\u898f\u6a21\u526f\u4f5c\u7528\u60c5\u5831\u306b\u57fa\u3065\u304f\u6bd2\u6027\u30fb\u526f\u4f5c\u7528\u4e88\u6e2c\u6226\u7565<\/strong>\uff1a\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u7b2c397\u56deCBI\u5b66\u4f1a\u7814\u7a76\u8b1b\u6f14\u4f1a\u30012018\/7\u3001\u6771\u4eac<\/td><\/tr>
                                \u6bd2\u6027\u4e88\u6e2c\u306b\u304a\u3051\u308bAI\u306e\u6d3b\u7528\uff5e\u5316\u5b66\u69cb\u9020\u306e\u5b66\u7fd2\uff5e<\/strong>\uff1a\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u88fd\u54c1\u8a55\u4fa1\u6280\u8853\u57fa\u76e4\u6a5f\u69cb\uff08NITE\uff09\u7b2c4\u56deAI\u52c9\u5f37\u4f1a\u30012018\/9\u3001\u6771\u4eac<\/td><\/tr>
                                \u526f\u4f5c\u7528\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9\u89e3\u6790\u306b\u304a\u3051\u308b\u8a08\u7b97\u6bd2\u6027\u5b66\u7684\u30a2\u30d7\u30ed\u30fc\u30c1<\/strong>\uff1a\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u7b2c62\u56de\u65e5\u672c\u85ac\u5b66\u4f1a\u95a2\u6771\u652f\u90e8\u5927\u4f1a\u30012018\/9\u3001\u6771\u4eac<\/td><\/tr>
                                \u5316\u5b66\u69cb\u9020\u5f0f\u304b\u3089\u4f53\u5185\u52d5\u614b\u3092\u4e88\u6e2c\u3059\u308b\uff5e\u6a5f\u68b0\u5b66\u7fd2\u3068QSPkR\uff5e<\/strong>\uff1a\u690d\u6ca2\u82b3\u5e83<\/span>\u3001JT\u533b\u85ac\u7dcf\u5408\u7814\u7a76\u6240\u793e\u5185\u8b1b\u6f14\u4f1a\u30012018\/10\u3001\u5927\u962a<\/td><\/tr>
                                \u4eba\u5de5\u77e5\u80fd\u3092\u99c6\u4f7f\u3057\u305f\u6bd2\u6027\u30fb\u526f\u4f5c\u7528\u4e88\u6e2c\u6226\u7565<\/strong>\uff1a\u690d\u6ca2\u82b3\u5e83<\/span>\u3001CBI\u5b66\u4f1a2018\u5e74\u5927\u4f1a\u30012018\/10\u3001\u6771\u4eac<\/td><\/tr>
                                \u5316\u5b66\u69cb\u9020\u306b\u57fa\u3065\u304fin silico \u6bd2\u6027\u4e88\u6e2c\u306b\u304a\u3051\u308b\u4eba\u5de5\u77e5\u80fd\u306e\u6d3b\u7528<\/strong>\uff1a\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u65e5\u672c\u74b0\u5883\u5909\u7570\u539f\u5b66\u4f1a\u7b2c47\u56de\u5927\u4f1a\u30012018\/11\u3001\u4eac\u90fd<\/td><\/tr>
                                \u6570\u7406\u30e2\u30c7\u30eb\u3092\u7528\u3044\u305f\u5206\u89e3\u4ee3\u8b1d\u7269\u306e\u54fa\u4e73\u985e\u306b\u5bfe\u3059\u308b\u6bd2\u6027\u4e88\u6e2c<\/strong>\uff1a\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u7b2c36\u56de\u8fb2\u85ac\u74b0\u5883\u79d1\u5b66\u7814\u7a76\u4f1a\u30012018\/11\u3001\u7532\u5e9c<\/td><\/tr><\/tbody><\/table><\/figure>\n<\/div><\/div>\n<\/div><\/div>\n\n\n\n
                                \u904e\u53bb\u306e\u8ad6\u6587\u306f\u3053\u3061\u3089\uff08\u65e7\u30fb\u81e8\u5e8a\u85ac\u5264\u5b66\u7814\u7a76\u5ba4\uff09<\/span><\/i><\/div><\/a><\/div>\n\n\n\n
                                <\/div><\/div>\n\n\n\n

                                \u8457\u66f8\u30fb\u7279\u8a31\u7b49<\/h2>\n\n\n\n
                                \n

                                2026<\/strong><\/h3>\n\n\n\n
                                \n
                                \u690d\u6ca2\u82b3\u5e83<\/span>\uff1a\u5dfb\u982d\u8a00\u300c\u4e88\u6e2c\u3092\u793e\u4f1a\u306b\u5c4a\u3051\u308b\u8a08\u7b97ADMET\uff1a\u4fe1\u983c\u306e\u4f5c\u6cd5\u300d<\/a><\/strong>\u3001CBI\u5b66\u4f1a\u8a8c\u300114<\/strong>\u30011 (2026)<\/td><\/tr>
                                \u9577\u8c37\u5ddd\u6e05\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\uff1a\u30d5\u30a9\u30fc\u30ab\u30b9\u30c8\u30bb\u30c3\u30b7\u30e7\u30f3\u5831\u544a\u300cin silico\u30a2\u30d7\u30ed\u30fc\u30c1\u306b\u3088\u308b\u85ac\u7269\u52d5\u614b\u30fb\u6bd2\u6027\u4e88\u6e2c\u306e\u6700\u524d\u7dda\uff5ePBPK\u304b\u3089\u6a19\u7684\u540c\u5b9a\u307e\u3067\uff5e\u300d<\/a><\/strong>\u3001CBI\u5b66\u4f1a\u8a8c\u300114<\/strong>\u30015 (2026)<\/td><\/tr><\/tbody><\/table><\/figure>\n<\/div><\/div>\n<\/div><\/div>\n\n\n\n
                                \n

                                2025<\/strong><\/h3>\n\n\n\n
                                \n
                                \u7d30\u8c37\u9f8d\u4e00\u90ce<\/span>\u3001\u91ce\u6fa4\uff08\u77f3\u4e95\uff09\u73b2\u5b50\u3001\u5bfa\u5cf6\u671d\u5b50\u3001\u52a0\u8cc0\u8c37\u8087\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\uff1aCBI\u30b8\u30e3\u30fc\u30ca\u30eb\u4fbf\u308a\u300c\u30cb\u30b3\u30c1\u30f3\u8a98\u767a\u6027\u3057\u3083\u3063\u304f\u308a\u306b\u95a2\u3059\u308b\u7814\u7a76\uff1aFAERS\u3092\u7528\u3044\u305f\u6295\u4e0e\u7d4c\u8def\u5225\u89e3\u6790\u300d<\/strong><\/a>\u3001CBI\u5b66\u4f1a\u8a8c\u300113<\/strong>\u30016 (2025)<\/td><\/tr>
                                \u6c5f\u5d0e\u525b\u53f2\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\uff1a\u30c1\u30e5\u30fc\u30c8\u30ea\u30a2\u30eb\u5831\u544a\u300cKNIME\u3092\u4f7f\u3063\u305f\u30b1\u30e2\u30a4\u30f3\u30d5\u30a9\u30de\u30c6\u30a3\u30af\u30b9\u5165\u9580\u300d<\/strong><\/a>\u3001CBI\u5b66\u4f1a\u8a8c\u300113<\/strong>\u300130 (2025)<\/td><\/tr>
                                \u83c5\u539f\u82f1\u8f1d\u3001\u5185\u7530\u307e\u3084\u3053\u3001\u9234\u6728\u771f\u4e5f\u3001\u83c5\u3000\u5e78\u751f\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\u3001\u4e2d\u5ddd\u8cb4\u4e4b\u3001\u9ad9\u702c\u4e45\u5149\uff1a\u308f\u304c\u56fd\u306e\u6709\u5bb3\u4e8b\u8c61\u81ea\u767a\u5831\u544a\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9\u306b\u5831\u544a\u3055\u308c\u305f\u975e\u304c\u3093\u60a3\u8005\u306b\u304a\u3051\u308b\u30aa\u30d4\u30aa\u30a4\u30c9\u95a2\u9023\u547c\u5438\u6291\u5236<\/strong><\/a>\u3001\u65e5\u672c\u533b\u79d1\u5927\u5b66\u533b\u5b66\u4f1a\u96d1\u8a8c\u300121<\/strong>\u3001189 (2025)<\/td><\/tr>
                                Uesawa Y<\/span>\uff1aUnited States Patent and Trademark Office\uff08Patent No: US 12,394,504 B2\uff09\u201cPredicting device, predicting processing program, learning model input data generating model, and learning model input data generating program\u201d (2025\/8\/19)<\/td><\/tr><\/tbody><\/table><\/figure>\n<\/div><\/div>\n<\/div><\/div>\n\n\n\n
                                \n

                                2024<\/strong><\/h3>\n\n\n\n
                                \n
                                Uesawa Y<\/span>\uff1a\u30a4\u30f3\u30c9\u7279\u8a31\u5e81\uff08Patent No: 494330\uff09\u201cPredicting device, predicting method, predicting program, learning model input data generating device, and learning model input data generating program\u201d (2024\/1\/4)<\/td><\/tr>
                                Uesawa Y<\/span>\uff1a\u4e2d\u56fd\u7279\u8a31\u5e81\uff08Patent No: 110809800 \uff09\u201cPredicting device, predicting method, predicting program, learning model input data generating device, and learning model input data generating program\u201d (2024\/1\/2)<\/td><\/tr>
                                \u690d\u6ca2\u82b3\u5e83<\/span>\uff1a\u7b2c1\u7ae0\u7b2c9\u7bc0 \uff1aIn silico\u6280\u8853\u306b\u3088\u308b\u6bd2\u6027\u8a55\u4fa1<\/strong><\/a>\u3001\u4e0d\u7d14\u7269\u306e\u5206\u6790\u6cd5\u3068\u5316\u5b66\u7269\u8cea\u306e\u53d6\u308a\u6271\u3044\u3001(\u682a)\u6280\u8853\u60c5\u5831\u5354\u4f1a (2024)<\/td><\/tr>
                                \u690d\u6ca2\u82b3\u5e83<\/span>\uff1a\u30d5\u30a9\u30fc\u30ab\u30b9\u30c8\u30bb\u30c3\u30b7\u30e7\u30f3\u5831\u544a\u300c\u5316\u5b66\u69cb\u9020\u60c5\u5831\u3092\u7528\u3044\u305f\u8a08\u7b97ADMET\u7814\u7a76\u306e\u65b0\u5c55\u958b\u300d<\/strong>\u3001CBI\u5b66\u4f1a\u8a8c\u300112<\/strong>\u300118 (2024)<\/td><\/tr>
                                \u690d\u6ca2\u82b3\u5e83<\/span>\uff1a\u30d5\u30a9\u30fc\u30ab\u30b9\u30c8\u30bb\u30c3\u30b7\u30e7\u30f3\u5831\u544a\u300cAmes\/QSAR\u56fd\u969b\u30c1\u30e3\u30ec\u30f3\u30b8\u304a\u3088\u3073Tox24\u30c1\u30e3\u30ec\u30f3\u30b8\u304b\u3089\u307f\u305fQSAR\u4e88\u6e2c\u306e\u5230\u9054\u70b9\u300d<\/strong>\u3001CBI\u5b66\u4f1a\u8a8c\u300112<\/strong>\u300118 (2024)<\/td><\/tr>
                                \u690d\u6ca2\u82b3\u5e83<\/span>\uff1a\u30c1\u30e5\u30fc\u30c8\u30ea\u30a2\u30eb\u5831\u544a\u300c\u8a08\u7b97ADMET\u7814\u7a76\u4f1a\u300d<\/strong>\u3001CBI\u5b66\u4f1a\u8a8c\u300112<\/strong>\u300120-21 (2024)<\/td><\/tr><\/tbody><\/table><\/figure>\n<\/div><\/div>\n<\/div><\/div>\n\n\n\n
                                \n

                                2023<\/strong><\/h3>\n\n\n\n
                                \n
                                \u690d\u6ca2\u82b3\u5e83<\/span>\uff1a\u56fd\u5185\u7279\u8a31\u5e81\u30fb\u7279\u8a31\u7b2c7201981\u53f7 \u201c\u4e88\u6e2c\u88c5\u7f6e\u3001\u4e88\u6e2c\u65b9\u6cd5\u304a\u3088\u3073\u4e88\u6e2c\u30d7\u30ed\u30b0\u30e9\u30e0\u201d<\/strong><\/a> (2023)<\/td><\/tr>
                                \u9ed2\ufa11\u5b8f\u592a<\/span>\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\uff1a\u7b2c7\u7ae0\u7b2c2\u7bc0 \uff1a\u5b89\u5168\u6027\u8a55\u4fa1\u306b\u6d3b\u7528\u3067\u304d\u308b\u30aa\u30fc\u30d7\u30f3\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9\u3068\u305d\u306e\u6d3b\u7528<\/strong><\/a>\u3001\u30b1\u30e2\u30a4\u30f3\u30d5\u30a9\u30de\u30c6\u30a3\u30af\u30b9\u30c7\u30fc\u30bf\u53ce\u96c6\u306e\u6700\u9069\u5316\u3068\u89e3\u6790\u624b\u6cd5\u3001(\u682a)\u6280\u8853\u60c5\u5831\u5354\u4f1a (2023)<\/td><\/tr>
                                \u690d\u6ca2\u82b3\u5e83<\/span>\uff1a\u8a08\u7b97ADMET\u7814\u7a76\u4f1a\u4e3b\u67fb\u5c31\u4efb\u306e\u6328\u62f6<\/strong><\/a>\u3001CBI\u5b66\u4f1a\u8a8c\u300111<\/strong> (2023)<\/td><\/tr>
                                Matsuzaka Y<\/span>, Uesawa Y<\/span>: <\/strong>Chapter18 Deep learning using molecular image of chemial structure<\/strong><\/a>, Cheminformatics, QSAR, and Machine Learning Applications for Novel Drug Development, ELSEVIER (2023)<\/td><\/tr>
                                \u690d\u6ca2\u82b3\u5e83<\/span>\uff1a\u30d5\u30a9\u30fc\u30ab\u30b9\u30c8\u30bb\u30c3\u30b7\u30e7\u30f3\u5831\u544a\u300c\u8a08\u7b97ADMET\u7814\u7a76\u4f1a\uff1a\u6bd2\u6027\u30fb\u526f\u4f5c\u7528\u95a2\u9023\u7814\u7a76\u306e\u65b0\u5c55\u958b\u300d<\/strong>\u3001CBI\u5b66\u4f1a\u8a8c\u300111<\/strong>\u300113 (2023)<\/td><\/tr>
                                \u690d\u6ca2\u82b3\u5e83<\/span>\uff1a\u30d5\u30a9\u30fc\u30ab\u30b9\u30c8\u30bb\u30c3\u30b7\u30e7\u30f3\u5831\u544a\u300c\u526f\u4f5c\u7528\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9\u3092\u7528\u3044\u305f\u6bd2\u6027\u767a\u73fe\u7d4c\u8def\u306e\u63a8\u5b9a\u3068\u5927\u898f\u6a21\u8a00\u8a9e\u30e2\u30c7\u30eb\u306e\u6d3b\u7528\u300d<\/strong>\u3001CBI\u5b66\u4f1a\u8a8c\u300111<\/strong>\u300115-16 (2023)<\/td><\/tr><\/tbody><\/table><\/figure>\n<\/div><\/div>\n<\/div><\/div>\n\n\n\n
                                \n

                                2022<\/strong><\/h3>\n\n\n\n
                                \n
                                \u690d\u6ca2 \u82b3\u5e83<\/span>\uff1aAI-SHIPS \u306b\u304a\u3051\u308b\u4e00\u822c\u5316\u5b66\u7269\u8cea\u306e\u6bd2\u6027\u4e88\u6e2c\u30e2\u30c7\u30eb\u69cb\u7bc9<\/strong>\u3001\u9769\u65b0\u7684AI \u5275\u85ac \uff5e\u533b\u7642\u30d3\u30c3\u30b0\u30c7\u30fc\u30bf\u3001\u4eba\u5de5\u77e5\u80fd\u304c\u3082\u305f\u3089\u3059\u5275\u85ac\u7814\u7a76\u306e\u672a\u6765\u50cf\uff5e\u3001\u5c0f\u9577\u8c37\u660e\u5f66\u3001NTS (2022)<\/td><\/tr>
                                \u690d\u6ca2\u82b3\u5e83<\/span>\uff1a\uff1c\u4f1a\u544a\uff1e\u69cb\u9020\u6d3b\u6027\u30d5\u30a9\u30fc\u30e9\u30e02022<\/strong>\u3001\u65e5\u672c\u85ac\u5b66\u4f1a\u69cb\u9020\u6d3b\u6027\u76f8\u95a2\u90e8\u4f1a\u30fb\u30cb\u30e5\u30fc\u30b9\u30ec\u30bf\u30fcSAR News 42 (2022)\uff1a\u65e5\u672c\u85ac\u5b66\u4f1a\u30d5\u30a1\u30eb\u30de\u30b7\u30a2 4 (2022)\uff1a\u65e5\u672c\u6bd2\u6027\u5b66\u4f1a\u30db\u30fc\u30e0\u30da\u30fc\u30b8\uff1a\u65e5\u672c\u5316\u5b66\u4f1a\u30db\u30fc\u30e0\u30da\u30fc\u30b8\uff1aCBI\u5b66\u4f1a\u30db\u30fc\u30e0\u30da\u30fc\u30b8<\/td><\/tr>
                                \u690d\u6ca2\u82b3\u5e83<\/span>\uff1a\uff1c\u5831\u544a\uff1e\u69cb\u9020\u6d3b\u6027\u30d5\u30a9\u30fc\u30e9\u30e02022<\/strong>\u3001\u65e5\u672c\u85ac\u5b66\u4f1a\u69cb\u9020\u6d3b\u6027\u76f8\u95a2\u90e8\u4f1a\u30fb\u30cb\u30e5\u30fc\u30b9\u30ec\u30bf\u30fcSAR News 43 (2022)<\/td><\/tr>
                                \u690d\u6ca2\u82b3\u5e83<\/span>\uff1a\u30d5\u30a9\u30fc\u30ab\u30b9\u3068\u30bb\u30c3\u30b7\u30e7\u30f3\u5831\u544a\u300c\u8a08\u7b97ADMET\u7814\u7a76\u95a2\u9023\u7814\u7a76\u767a\u8868\u300d<\/strong>\u3001CBI\u5b66\u4f1a\u8a8c\u300110<\/strong> (2022)<\/td><\/tr><\/tbody><\/table><\/figure>\n<\/div><\/div>\n<\/div><\/div>\n\n\n\n
                                \n

                                2021<\/strong><\/h3>\n\n\n\n
                                \n
                                Uesawa Y<\/span>\uff1a\u6b27\u5dde\u7279\u8a31\u5e81\u30fb\u7279\u8a31\u756a\u53f7EP3627404 \u201cPredicting device, predicting method, predicting program, learning model input data generating device, and learning model input data generating program\u201d<\/strong><\/a> (2021\/8\/18)<\/td><\/tr><\/tbody><\/table><\/figure>\n<\/div><\/div>\n<\/div><\/div>\n\n\n\n
                                \n

                                2020<\/strong><\/h3>\n\n\n\n
                                \n
                                Matsuzaka Y<\/span>, Uesawa Y<\/span>\uff1aOptimization of a Deep-Learning Method Based on the Classification of Images Generated by Parameterized Deep Snap a Novel Molecular-Image-Input Technique for Quantitative Structure\u2013Activity Relationship (QSAR) Analysis<\/strong>, Deep Learning for Toxicity and Disease Prediction, Frontiers eBook <\/strong> (2020)<\/td><\/tr><\/tbody><\/table><\/figure>\n<\/div><\/div>\n<\/div><\/div>\n\n\n\n
                                \n

                                2019<\/strong><\/h3>\n\n\n\n
                                \n
                                \u677e\u5742\u606d\u6210<\/span>\u3001\u690d\u6ca2\u82b3\u5e83<\/span>\uff1a\u7b2c10\u7ae0\u7b2c6\u7bc0\uff1a\u5316\u5b66\u69cb\u9020\u306e\u6a5f\u68b0\u5b66\u7fd2\u306b\u57fa\u3065\u304f\u6bd2\u6027\u4e88\u6e2c<\/strong>\u3001\u30de\u30c6\u30ea\u30a2\u30eb\u30ba\u30fb\u30a4\u30f3\u30d5\u30a9\u30de\u30c6\u30a3\u30af\u30b9\u306b\u3088\u308b\u6750\u6599\u958b\u767a\u3068\u6d3b\u7528\u96c6\u3001(\u682a)\u6280\u8853\u60c5\u5831\u5354\u4f1a (2019)<\/td><\/tr>
                                Nagai J<\/span>, Imamura M, Sakagami H, Uesawa Y<\/span>: QSAR Prediction Model to Search for Compounds with Selective Cytotoxicity Against Oral Cell Cancer<\/strong>, Biological Efficacy of Natural and Chemically Modified Products against Oral Inflammatory Lesions, MDPI Books (2019)<\/td><\/tr><\/tbody><\/table><\/figure>\n<\/div><\/div>\n<\/div><\/div>\n\n\n\n
                                \n

                                2018<\/strong><\/h3>\n\n\n\n
                                \n
                                \u690d\u6ca2\u82b3\u5e83<\/span>\uff1a\u7b2c3\u7ae0\u7b2c1\u7bc0\uff1ain silico\u306b\u3088\u308b\u533b\u85ac\u54c1\u6bd2\u6027\u4e88\u6e2c\u3068\u5275\u85ac\u30d7\u30ed\u30bb\u30b9\u306e\u52b9\u7387\u5316<\/strong>\u3001In silico\u5275\u85ac\u306b\u304a\u3051\u308b \u30b9\u30af\u30ea\u30fc\u30cb\u30f3\u30b0\u306e\u9ad8\u901f\u5316\u30fb\u9ad8\u7cbe\u5ea6\u5316\u6280\u8853\u3001(\u682a)\u6280\u8853\u60c5\u5831\u5354\u4f1a (2018)<\/td><\/tr><\/tbody><\/table><\/figure>\n<\/div><\/div>\n<\/div><\/div>\n\n\n\n
                                \u904e\u53bb\u306e\u8ad6\u6587\u306f\u3053\u3061\u3089\uff08\u65e7\u30fb\u81e8\u5e8a\u85ac\u5264\u5b66\u7814\u7a76\u5ba4\uff09<\/span><\/i><\/div><\/a><\/div>\n\n\n\n
                                <\/div><\/div>\n","protected":false},"excerpt":{"rendered":"

                                \u533b\u7642\u5206\u5b50\u89e3\u6790\u5b66\u7814\u7a76\u5ba4\u306e\u7814\u7a76\u5b9f\u7e3e\u3092\u3054\u7d39\u4ecb\u3044\u305f\u3057\u307e\u3059\u3002 \u8ad6\u6587 2026 Disproportionality analysis and timing of Drug-InducedGuillain\u2013Barr\u00e9 Syndrom […]<\/p>\n","protected":false},"author":10,"featured_media":0,"parent":0,"menu_order":3,"comment_status":"closed","ping_status":"closed","template":"","meta":{"vkexunit_cta_each_option":"","footnotes":""},"class_list":["post-5245","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/u-lab2.my-pharm.ac.jp\/~mminfo\/wp-json\/wp\/v2\/pages\/5245","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/u-lab2.my-pharm.ac.jp\/~mminfo\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/u-lab2.my-pharm.ac.jp\/~mminfo\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/u-lab2.my-pharm.ac.jp\/~mminfo\/wp-json\/wp\/v2\/users\/10"}],"replies":[{"embeddable":true,"href":"https:\/\/u-lab2.my-pharm.ac.jp\/~mminfo\/wp-json\/wp\/v2\/comments?post=5245"}],"version-history":[{"count":80,"href":"https:\/\/u-lab2.my-pharm.ac.jp\/~mminfo\/wp-json\/wp\/v2\/pages\/5245\/revisions"}],"predecessor-version":[{"id":5629,"href":"https:\/\/u-lab2.my-pharm.ac.jp\/~mminfo\/wp-json\/wp\/v2\/pages\/5245\/revisions\/5629"}],"wp:attachment":[{"href":"https:\/\/u-lab2.my-pharm.ac.jp\/~mminfo\/wp-json\/wp\/v2\/media?parent=5245"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}