Runyu Hong

This study integrates histopathology and proteogenomic data from melanoma metastases to identify subtypes and risk factors, offering a basis for personalized treatment strategies.

This study uses a deep learning model to predict STK11 mutations in lung adenocarcinoma histopathology slides and finds that immune cell density is the key feature for classification.

This paper introduces a deep learning model that predicts endometrial cancer subtypes and mutations from histopathology images, offering a faster alternative to genomic sequencing.