Priti Lal

SCOPE improves AI triage in 3D pathology by using morphology-aware prototypes to identify high-risk 2D slices for pathologist review.

SCALE3D improves prostate cancer risk prediction by analyzing 3D cell interactions through supercell graphs, outperforming traditional features and reducing computational demands.

This study identifies NNMT as a tumor suppressor in prostate cancer that regulates SAM availability, mTORC1 signaling, and chromatin methylation, revealing a therapeutic strategy using dietary methionine restriction and mTORC1 inhibition.

CARP3D uses deep learning to prioritize high-risk 2D sections in 3D pathology data, improving disease detection while reducing pathologist workload.