A systematic pan-cancer study on deep learning-based prediction of multi-omic biomarkers from routine pathology images.

The results demonstrate that DL holds promise to predict a wide range of biomarkers across the omics spectrum using only H&E-stained histological slides of solid tumors. This paves the way for accelerating diagnosis and developing more precise treatments for cancer patients.