Integrating Pathological Images and Genomic Data for Improved Cancer Survival Prediction

The proposed Pathology-Genome Heterogeneous Graph (PGHG) model effectively integrates whole slide images and bulk RNA-Seq expression data to improve cancer survival prediction, leveraging biological prior knowledge to guide the feature extraction and fusion of the two modalities.