よく当たるモデルは、機序まで理解しているのか
予測と機序推論を分けて評価する。最新のVirtual Cell研究と規制文書を読み、合成データの計算例で、データに当てはまるパラメータが問いによって違う答えを出すことを示す。
Daiki Kumakura
I am a mathematical biologist and a bioinformatics researcher in the pharmaceutical industry. I received my Ph.D. in Life Science from Hokkaido University in March 2025.
I study biological dynamics using mathematical models and data analysis, with an interest in pharmacometrics and systems biology.
Recent writing
Does separating PSA decline and regrowth improve early prediction?
A public clinical PSA dataset used to compare landmark prediction, uncertainty calibration and decline/regrowth identifiability against simple benchmarks.
Is another dose comparison informative? A benefit–risk analysis of ifinatamab deruxtecan
Public randomized B7-H3 ADC dose-cohort counts used to quantify conditional information value, decision uncertainty and sensitivity to unreported joint outcomes and follow-up.