Clinical-Anchored Incremental Survival Learning: A Stability-Constrained Framework for Molecularly Enhanced Survival Prediction in Lung Adenocarcinoma
Accurate survival prediction in lung adenocarcinoma (LUAD) remains challenging because high-dimensional molecular data can introduce overfitting and unstable feature selection. We developed Clinical-Anchored Incremental Survival Learning (CAISL), a framework that integrates a sparse molecular risk correction with a clinical baseline to improve prognostic discrimination while constraining model…
We haven't written up this one. bioRxiv has the full story — the link below goes straight to it.
