Clinical-Anchored Incremental Survival Learning: A Stability-Constrained Framework for Molecularly Enhanced Survival Prediction in Lung Adenocarcinoma
Parth Shringarpure, Sonica Divakar, Shrutika Khobragade
This paper introduces CAISL, a framework for improving survival prediction in lung adenocarcinoma by integrating clinical and molecular data with stability constraints, achieving better performance than clinical and molecular-only models.
bioRxiv · Nov 5, 2026 · PreprintBioinformatics