Publication

Paper

Sho Oshima, Yuji Okamoto, Taisei Tosaki, Ryosuke Kojima, Yasushi Okuno. "Supervised Graph Contrastive Learning for Gene Regulatory Network". arXiv, 2025. https://arxiv.org/abs/2505.17786#
Taisei Tosaki, Eiichiro Uchino, Ryosuke Kojima, Yohei Mineharu, Yuji Okamoto, Mikio Arita, Nobuyuki Miyai, Yoshinori Tamada, Tatsuya Mikami, Koichi Murashita, Shigeyuki Nakaji, Yasushi Okuno. "Out-of-distribution Reject Option Method for Dataset Shift Problem in Early Disease Onset Prediction". Scientific Reports, 2025. doi: 10.1038/s41598-025-01811-8

Taisei Tosaki, Eiichiro Uchino, Yohei Harada, Minoru Sakuragi, Yusuke Koyanagi, Seiji Okajima, Hirofumi Suzuki, Kentaro Kanamori, Masahiro Asaoka, Kouji Kurihara, Takuya Takagi, Koji Maruhashi, Yoshinori Tamada, Tatsuya Mikami, Koichi Murashita, Shigeyuki Nakaji, Yasushi Okuno. "Subgrouping Causal Networks of Disease Onset in Large-scale Health and Medical Data using Supercomputer Fugaku", 2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), Lisbon, Portugal, 2024, pp. 4384-4391, doi: 10.1109/BIBM62325.2024.10822105. https://www.computer.org/csdl/proceedings-article/bibm/2024/10822105/23ooCTksZJC

Taisei Tosaki, Makoto Yamakawa, and Tsuyoshi Shiina. "A study on the optimal condition of ground truth area for liver tumor detection in ultrasound images using deep learning". J Med Ultrasonics 50, 167–176 (2023). https://doi.org/10.1007/s10396-023-01301-2

「区分線形埋め込みを用いたDecoder型 Tabualr Transformerモデルの検討」

2025年度人工知能学会全国大会（第39回）

「Tabular Transformerのラベル名と値に対して独立な新しいMasked Prediction手法の提案と検討」

2025年度人工知能学会全国大会（第39回）

「ノックダウン細胞株の遺伝子制御ネットワークを用いたグラフニューラルネットワークの転移学習と薬剤応答推定」

2025年度人工知能学会全国大会（第39回）

Taisei Tosaki, Eiichiro Uchino, Yohei Harada, Minoru Sakuragi, Yusuke Koyanagi, Seiji Okajima, Hirofumi Suzuki, Kentaro Kanamori, Masahiro Asaoka, Kouji Kurihara, Takuya Takagi, Koji Maruhashi, Yoshinori Tamada, Tatsuya Mikami, Koichi Murashita, Shigeyuki Nakaji, Yasushi Okuno. "Subgrouping Multimorbidity Onset of Lifestyle Diseases based on Wide-ranging Hypothesis Generation Approach". RIKEN Autumn School 2025, 2025/10/14. https://www2.riken.jp/summerschool/index.html

"Development of a Predictive Model for Type 2 Diabetes Onset Using Life Log and Health Checkup Data"

CBI学会2025年大会, 2025/10/29

"健診・生活習慣データを用いた労働者の生活の質・労働生産性の悪化予測モデル構築"

第96回日本衛生学会学術集会, 2026/03/21

Taisei Tosaki, Eiichiro Uchino, Yohei Harada, Minoru Sakuragi, Yusuke Koyanagi, Seiji Okajima, Hirofumi Suzuki, Kentaro Kanamori, Masahiro Asaoka, Kouji Kurihara, Takuya Takagi, Koji Maruhashi, Yoshinori Tamada, Tatsuya Mikami, Koichi Murashita, Shigeyuki Nakaji, Yasushi Okuno. "Subgrouping Causal Networks of Disease Onset in Large-scale Health and Medical Data using Supercomputer Fugaku". 2024 IEEE Conference of Bioinformatics and Biomedicine, Lisbon, Portgul, 2024/12/03. https://sites.google.com/unicz.it/fna-2024/

Taisei Tosaki, Eiichiro Uchino, Yohei Harada, Minoru Sakuragi, Yusuke Koyanagi, Seiji Okajima, Hirofumi Suzuki, Kentaro Kanamori, Masahiro Asaoka, Kouji Kurihara, Takuya Takagi, Koji Maruhashi, Yoshinori Tamada, Tatsuya Mikami, Koichi Murashita, Shigeyuki Nakaji, Yasushi Okuno. "Subgrouping Causal Networks of Disease Onset in Large-scale Health and Medical Data using Supercomputer Fugaku". RIKEN Summer School 2024, 2024/09/02. https://www2.riken.jp/summerschool/index.html

戸﨑泰誠、内野詠一郎、小島諒介、峰晴陽平、有田幹雄、宮井信行、玉田嘉紀、三上達也、村下公一、中路重之、奥野恭史 "Out-of-distribution Reject Option Method for Dataset Shift Problem in Early Disease Onset Prediction". LINK SHOWCASE 2024 Summer, 2024/08/21. https://linc-ai.jp/news/files/240821_SHOWCASE%20Flyer_2.pdf

戸﨑泰誠、内野詠一郎、小島諒介、峰晴陽平、有田幹雄、宮井信行、玉田嘉紀、三上達也、村下公一、中路重之、奥野恭史「多拠点健診データ間における棄却オプションによる疾患発症予測機械学習モデルの性能向上」第27回日本医療情報学会春季学術大会、沖縄、7月1日、https://confit.atlas.jp/guide/organizer/jcmi/jami2023/subject/OB6-01/search?page=2&lang=ja

戸﨑泰誠、内野詠一郎、奥野恭史「臨床基盤モデル・マルチモーダル基盤モデルの現在地点」、実験医学2025年1月号、羊土社、Vol 43, No. 1. https://www.yodosha.co.jp/jikkenigaku/articles/index.html?ci=177200

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