TrajSurv-mPC: Learning From Prostate-Specific Antigen Trajectories for Interpretable and Generalizable Survival Prediction in Metastatic Prostate Cancer.
PURPOSE Conventional prognostic models for metastatic prostate cancer (mPC) typically rely on summary features like prostate-specific antigen (PSA) doubling time, often obscuring informative longitudinal dynamics. We developed TrajSurv-mPC, a flexible deep learning framework that analyzes full premetastasis patient tra...