Albert Eusik Kim

Weakly supervised deep learning localizes focal tissue regions enriched for therapeutically relevant biology in routine histology, offering a scalable strategy to study therapeutic resistance across large patient populations.

ESPWA is a deep learning tool developed to improve endocrine therapy precision in low-resource settings by accurately predicting ER status from H&E slides in Haitian patients.

This study links structural and functional vascular dysfunction in brain metastases to pembrolizumab resistance by analyzing perfusion MRI data from 44 patients.