program｜The 93rd Annual Meeting of the Japanese Pharmacological Society

Annual Meeting Symposium1

Evaluation of drug safety and efficacy by clinical epidemiology utilizing large scale medical databases including real world data

2-AS1-18:5010:20 How to select appropriate medical real world database to meet your research question Koji Kawakami Dept. Pharmacoepidemiology, Grad.Sch.Med.Public Health, Kyoto Univ.

2-AS1-28:5010:20 Clinical epidemiological and pharmacoepidemiological studies using the Diagnosis Procedure Combination database. Taisuke Jo Department of Health Services Research, Grad. Sch. Med.,The University of Tokyo

2-AS1-38:5010:20 Descriptive epidemiology of prescriptions of drugs listed in Screening Tool for Older Person's appropriate Prescriptions in Japanese (STOPP-J) in older adults: results from National Database of Health Insurance Claims and Specific Health Checkups of Japan (NDB) Yosuke Yamamoto¹, Izumi Sato², Jui Wang¹, Shosuke Ohtera³, Genta Kato⁴, Shunichi Fukuhara¹, Takeo Nakayama⁵ ¹Department of Healthcare Epidemiology, Graduate School of Medicine, Kyoto University, ²Department of Pharmacopidemiology, Graduate School of Medicine, Kyoto University, ³Division of Medical Informatics, Kyoto University Hospital, ⁴Solutions Center for Health Insurance Claims, Kyoto University Hospital, ⁵Department of Health Informatics, Graduate School of Medicine, Kyoto University

2-AS1-48:5010:20 Challenge to the future life with Real World Data Hironobu Tokumasu Kurashiki Clinical Research Institute

Annual Meeting Symposium2

The use of clinical big data on pharmacological studies: from hypothesis validation to drug repositioning

2-AS2-110:2011:50 Pharmacological research development based on medical big data (disease name, Lab tests, medication, etc.) of 2 million patients at Nihon University Hospital for 15 years Satoshi Asai Division of Pharmacology, Department of Biomedical Science, Sch. Med. Nihon Univ.

2-AS2-210:2011:50 Pharmacological study by bidirectional approach between bench and bedside: novel evidence from risk factor analysis in cancer patients undergoing chemotherapy Atsufumi Kawabata Lab. Pharmacol. Pathophysiol., Fac. Pharm., Kindai Univ.

2-AS2-310:2011:50 Approach to drug discovery integrating large-scale medical information databases with clinical and basic research Mitsuhiro Goda¹, Yoshito Zamami^1,2, Takahiro Niimura², Kenshi Takechi³, Masayuki Chuma³, Yuki Izawa-Ishizawa⁴, Keisuke Ishizawa^1,2 ¹Dept. Pharm., Tokushima Univ. Hosp., ²Dept. Clin. Pharmacol. Ther., Grad. Sch. Biomed. Sci., Tokushima Univ., ³Clin. Trial Ctr. Developmental Therap., Tokushima Univ. Hosp., ⁴AWA Support Ctr, Tokushima Univ.

2-AS2-410:2011:50 The impact of hypothesis and prediction in data-driven pharmacological studies Shuji Kaneko, Takuya Nagashima, Chihiro Toda, Miyuki Sakai, Kazuki Nagayasu Dept. Mol. Pharm., Grad. Sch. Pharm. Sci., Kyoto Univ.

Company-Organized Symposium

AI and big data in the life science field: Activity in the Life Intelligence Consortium

2-CS-116:2018:10 Yasushi Okuno Department of Biomedical Data Intelligence, Graduate School of Medicine, Kyoto University

2-CS-216:2018:10 AI for Nephrology Using Electronic Medical Records Eiichiro Uchino¹, Yoshinori Tamada¹, Yasushi Okuno² ¹Dept. Medical Intelligent Systems, Grad. Sch. Med., Kyoto Univ., ²Dept. Biomedical Data Intelligence, Grad. Sch. Med., Kyoto Univ.

2-CS-316:2018:10 Application of artificial intelligence for drug repositioning Hiroaki Iwata Grad. Sch. Med., Kyoto Univ.

2-CS-416:2018:10 Towards a system combining ADMET prediction AI and de novo structure generation AI Teruki Honma RIKEN

2-CS-516:2018:10 JDream Expert Finder: A Search Engine to Find Young Promising Researchers Hiroto Inoue¹, Masanori Fujita², Takao Terano³ ¹Tokyo Denki Univ., ²Tokyo Institute of Technology, ³Chiba Univ. of Commerce