AIとがん研究 ── CLL ── 2026-11-05
CLL 3 本。筆頭: Artificial intelligence-enhancement of flow cytometry data accelerates the identification of measurable residual chronic lymphocytic leukemia
慢性リンパ性白血病（CLL）の治療・治験とAI
- Artificial intelligence-enhancement of flow cytometry data accelerates the identification of measurable residual chronic lymphocytic leukemia抄録（全訳）掲載誌の IF 相当：7.4（OpenAlex の直近 2 年の平均被引用数・2026-11-04 時点の値、2026-11-05 に取得。正式な IF（Clarivate）ではない）書誌：Chiu A, Seheult JN, Shi M, Jevremovic D, Jordan CE, Weybright MJ, et al. Artificial intelligence-enhancement of flow cytometry data accelerates the identification of measurable residual chronic lymphocytic leukemia. Leukemia. 2026 May 26;40(7):1516-26. doi:10.1038/s41375-026-02986-3. PMID: 42192141; PMCID: PMC13322963.確認の範囲：全文を確認
- TwinRL-Onco: A World Model-Empowered Digital Twin Framework with Hierarchical Reinforcement Learning for Venetoclax Resistance Trajectory Prediction and Adaptive Therapy Optimization in Chronic Lymphocytic Leukemia抄録（全訳）掲載誌の IF 相当：6.5（OpenAlex の直近 2 年の平均被引用数・2026-11-04 時点の値、2026-11-05 に取得。正式な IF（Clarivate）ではない）書誌：Wang Z, Ge C, Hu Y, Bai D, Zhang W. TwinRL-Onco: A World Model-Empowered Digital Twin Framework with Hierarchical Reinforcement Learning for Venetoclax Resistance Trajectory Prediction and Adaptive Therapy Optimization in Chronic Lymphocytic Leukemia. IEEE J Biomed Health Inform. 2026 [Epub ahead of print]. doi:10.1109/jbhi.2026.3696685. PMID: 42184194.確認の範囲：抄録のみ確認
- Real-World Application of a Machine Learning Pipeline for Overall Survival in Chronic Lymphocytic Leukemia抄録（全訳）掲載誌の IF 相当：1.0（OpenAlex の直近 2 年の平均被引用数・2026-11-04 時点の値、2026-11-05 に取得。正式な IF（Clarivate）ではない）書誌：Papangelou C, Chatzikonstantinou T, Talimtzi P, Chatzidimitriou A, Minga E. Real-World Application of a Machine Learning Pipeline for Overall Survival in Chronic Lymphocytic Leukemia. Stud Health Technol Inform. 2026 May 21 [Epub ahead of print]. doi:10.3233/shti260276. PMID: 42174951.確認の範囲：抄録のみ確認