Comprehensive Multimodal Integration for Robust Cancer Survival Prediction

A comprehensive decomposition of multimodal knowledge into redundancy, synergy, and uniqueness components, combined with cohort-guided feature learning, enables effective integration of genomics and pathology images for robust cancer survival prediction.