Session Details

[3F1-OS-8]OS-8

Wed. Jun 10, 2026 9:00 AM - 10:30 AM JST
Wed. Jun 10, 2026 12:00 AM - 1:30 AM UTC
Room F(Main hall B)
オーガナイザ:矢田 竣太郎(筑波大学),荒牧 英治(奈良先端科学技術大学院大学),河添 悦昌(東京大学),堀 里子(慶應義塾大学),木﨑 速人(慶應義塾大学)

[3F1-OS-8-01]Developing TogoMCP to fully utilize life science knowledge graphs

〇Yasunori Yamamoto1, Akira R Kinjo2, Takatomo Fujisawa3 (1. Research Organization of Information and Systems, 2. Anima Machina G.K., 3. National Institute of Genetics)

[3F1-OS-8-02]Development of Organic Synthesis Experimental Information Utilization System Integrating Knowledge Graphs and Generative AI

〇Toshiharu Morishita1, Haruka Hori1, Masafumi Tsuyuki2, Shotaro Agatsuma2, Ryota Noma2 (1. Chugai Pharmaceutical Co., Ltd., 2. Hitachi, Ltd.)

[3F1-OS-8-03]LA-Bench 2025: A Dataset for Generating Executable Experimental Procedures from Experimental Instructions

〇Shota Kato1, Toshihiko Nishida2, Yusuke Sakai3, Haruka Ozaki4, Ayato Sugiyama2, Ryota Yamada5 (1. Kyoto University, 2. Laboratory Automation Suppliers' Association, 3. University of Tokyo, 4. RIKEN, 5. Science Aid)

[3F1-OS-8-04]Large Language Model Agents for Automating Drug Combination Effect Discovery: Development and Challenges

〇Bumbu Shoji1, Kiminori Shimamoto1, Tomohisa Seki2, Yoshimasa Kawazoe1,2, Masami Tsuchiya3, Satoko Hori3, Eiji Aramaki4 (1. Graduate School of Medicine, The University of Tokyo, 2. The University of Tokyo Hospital, 3. Faculty of Pharmacy, Keio University, 4. Graduate School of Science and Technology, Nara Institute of Science and Technology)

[3F1-OS-8-05]An RLM-Based Approach to Automated Iterative Annotation and Quality Control of Case Report Texts

〇Eisuke Dohi1, Jin-Dong Kim2, Itaru Hayakawa3, Tomoyasu Matsubara4, Terue Takatsuki2, Yuka Tateishi2, Toyofumi Fujiwara2, Yasunori Yamamoto2 (1. National Center of Neurology and Psychiatry, 2. Research Organization of Information and Systems, Database Center for Life Science, 3. National Center for Child Health and Development, Department of Neurology, 4. Hiroshima University, Department of Neurology)

[3F1-OS-8-06]Performance Evaluation of Large Language Model for Extracting Treatment, Adverse Events, and Temporal Information from Female Patients with Cancer Social Media

〇Yoshinori Kawaguchi1, Yuki Nanagisawa1, Masami Tsuchiya1, Soma Hisamura1, Hayato Kizaki1, Shungo Imai1, Tomohiro Nishiyama2, Eiji Aramaki2, Nobuko Ueda3, Tomoko Yodogawa3, Satoko Hori1 (1. Keio University, 2. Nara Institute of Science and Technology, 3. Peer Ring, General Incorporated Association)