BioinformaticsbioRxivPreprint
Computational pathology infers clinically relevant protein levels and drug response in breast cancer by weakly supervised contrastive learning
Hui Liu, Xiaodong Xie, Bin Wang
This paper introduces wsi2rppa, a weakly supervised contrastive learning framework that infers protein levels and drug response in breast cancer from whole slide images, achieving 0.79 AUC for trastuzumab response prediction.
DOI 10.1101/2023.04.13.536819