Satwik Rajaram

The paper develops a deep learning model from H&E images to predict T-effector biology and ICI response in ccRCC, showing strong correlation with RNA-based scores and clinical outcomes.

SPACEMAP is a machine learning framework for multiplex imaging analysis that resolves phenotyping discordance by integrating multiple classification methods.

Delta-Marches uses generative AI to simulate morphological changes between disease classes, identifying subcellular features that drive disease progression in histopathological images.

This study identifies Caveolin-1 as a context-dependent regulator of survival signaling in Ewing Sarcoma, revealing a reversible CD99High state with enhanced survival.