Javad Noorbakhsh

DIANNE enables rapid training and inference of spatial differential attributes in histology images without manual annotations, using mixup augmentation and foundation models.

The paper introduces SparTile, a computational method for analyzing multiplex proteomics images to identify clinically relevant spatial microenvironments in TNBC, finding specific markers and distances associated with poor survival.

This study identifies GCL inhibition as a strategy to induce ferroptosis in cancer cells, introducing novel inhibitors with potent cellular activity.

Cellos is a high-throughput image analysis pipeline for 3D organoid segmentation and analysis, enabling accurate quantification of drug responses and cell interactions in cancer organoids.

This paper uses CNNs to classify and compare histopathological images across cancer types, revealing conserved spatial patterns and mutation-related features.

The paper evaluates the robustness of mutation calling algorithms on tumor heterogeneity measures and finds limited clinical predictive power for MATH score.

This study quantifies intratumoral subclone dynamics in breast cancer xenografts, revealing a treatable ecology where subclone ratios predict treatment response.