1134-Reliable Drug Sensitivity Prediction and Prioritization

Paper Talk · Jun 15, 2026 · 21m

This research introduces a machine learning framework designed to improve the reliability and prioritization of anti-cancer drug treatments. Central to this approach is the use of conformal prediction, a mathematical method that provides certainty guarantees for drug sensitivity results rather than simple point estimates. To enhance clinical relevance, the authors developed CMax viability, a novel sensitivity measure that allows for the direct comparison and ranking of different drugs based on peak human plasma concentrations. This pipeline perform simultaneous classification and regression…