SHIFT: Survival Prediction from Incomplete and Heterogeneous Genomic Data

The proposed SHIFT framework improves survival prediction from genomic data by handling structural feature missingness across different clinical institutions.

Firefly links to the original publisher. The summary above is AI-generated for orientation and may differ from the source. The “current rank score” decays over time so newer significant stories surface first.