[2I6-OS-7b] OS-7 | The 40th Annual Conference of the Japanese Society for Artificial Intelligence, 2026

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Session Details

Organized SessionOrganized session : OS-7

[2I6-OS-7b]OS-7

Tue. Jun 9, 2026 5:30 PM - 7:00 PM JST
Tue. Jun 9, 2026 8:30 AM - 10:00 AM UTC

Room I(Middle room 202A)

オーガナイザ：岩見真吾（名古屋大学），藤生克仁（東京大学），中村己貴子（中外製薬株式会社），岡本有司（京都大学），小島諒介（京都大学），川上英良（千葉大学），本田直樹（名古屋大学）

5:30 PM - 5:45 PM JST(8:30 AM - 8:45 AM UTC)

[2I6-OS-7b-01]Variational Energy Landscape Analysis Reveals Collective Trends and Individual Heterogeneity in Mental Health During and After the COVID-19 State of Emergency

〇Masato TSUTSUMI^1,2, Taisei KUBO³, Takahiro KATO³, Naoki HONDA² (1. University of Tsukuba, 2. Nagoya Univerisy, 3. Hokkaido University)

5:45 PM - 6:00 PM JST(8:45 AM - 9:00 AM UTC)

[2I6-OS-7b-02]Advancing an Integrated Application Using Knowledge Graphs and Generative AI for Supporting Disease Assessment Endpoint Exploration in Drug Clinical Development

〇Ryoichi Chatani¹, Keisuke Tsukada², Isao Sano², Tomohiro Okada², Shotaro Sonoike¹, Hirokazu Murao³, Chihiro Hiraoka ¹, Hiroki Kato⁴, Hiroko Otaki⁵, Shota Nemoto², Daiki Hatakeyama⁴, Yuki Kaya⁴, Tatsuya Tojo⁴, Yoichi Nakamoto⁴, Akihiro Kamiya⁶, Motonobu Hommi⁶, Risa Watanabe⁶, Shunsuke Mashima⁶, Kazuo Muto⁵, Fumimaro Odakura⁵, Nao Okino³ (1. Clinical Development Division, Chugai Pharmaceutical Co., Ltd., 2. Digital Transformation Unit, Chugai Pharmaceutical Co., Ltd., 3. Translational Research Division, Chugai Pharmaceutical Co., Ltd., 4. Industrial AI Business Unit, Hitachi, Ltd., 5. Hitachi, Ltd. Research & Development Group, Hitachi, Ltd., 6. AI & Software Services Business Unit, Hitachi, Ltd.)

6:00 PM - 6:15 PM JST(9:00 AM - 9:15 AM UTC)

[2I6-OS-7b-03]Deep generative model to disentangle batch effects and conditinal effects in the single-cell omics

〇Shunta Sakaguchi¹, Masato Tsutsumi^2,1, Kentaro Nishi³, Honda Naoki^1,3 (1. Nagoya University, 2. University of Tsukuba, 3. Hiroshima University)

6:15 PM - 6:30 PM JST(9:15 AM - 9:30 AM UTC)

[2I6-OS-7b-04]Characterization of clinical tissue samples by predictive visualization of localization information of gene expression

〇Etsuko Futaya¹, Keiken Jo¹, Ryoko Takubo¹, Kento Tokuyama¹ (1. CHUGAI PHARMACEUTICAL CO., LTD.)

6:30 PM - 6:45 PM JST(9:30 AM - 9:45 AM UTC)

[2I6-OS-7b-05]Methodological Overview of Dynamic Event Prediction in Medical Time-Series Data: A Case Study of Bleeding Prediction in ECMO Patients

〇Yutaro Fuse¹, Daisuke Kasugai², Koki Tsuyuzaki¹, Shingo Kazama², Eiryo Kawakami^1,3 (1. Chiba University, 2. Nagoya University, 3. RIKEN)

6:45 PM - 7:00 PM JST(9:45 AM - 10:00 AM UTC)

[2I6-OS-7b-06]An Unsupervised Machine Learning Framework for Visualizing and Quantifying Typical Sleep Development and Its Deviations

〇Shinji Oguchi^1,2, Tetsuo Ishikawa^1,2,3,4, Akiko Hanai^1,2, Daigo Kato¹, Shoji Itakura⁵, Akiko Okuno⁸, Motonobu Watanabe⁶, Seiichi Morokuma⁷, Kazuhiro Sakurada^1,3, Eiryo Kawakami^1,2 (1. RIKEN, 2. Chiba University, 3. Keio University, 4. The University of Tokyo, 5. Ritsumeikan University, 6. Doshisha University, 7. Kyushu University, 8. Waseda University)

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