Rami Sesha Vanguri

This study shows that combining gamma secretase inhibitor with radiotherapy and checkpoint blockade therapy reprograms the tumor microenvironment to enhance antitumor immunity.

This study creates a longitudinal multiomic atlas of pediatric high-grade glioma, revealing distinct tumor cell states and therapeutic targets not seen in adult glioblastoma.

The paper identifies Treg-CD8 T cell interactions in the sentinel lymph node as predictors of melanoma recurrence in Stage II patients.

The paper introduces Nimbus, a deep learning model for predicting marker positivity in multiplexed imaging data using a pre-trained dataset, and shows its integration with clustering for cell subtype identification.

The paper introduces DeepLIIF, a deep learning framework that translates IHC images to multiplex IF images and quantifies single-cell IHC markers.

This paper predicts genetic ancestry for 2.6 million NYC patients using only clinical data from EHRs, achieving over 80% accuracy for unknown or other ancestries.

The paper uses next-of-kin data from electronic health records to estimate heritability for 500 disease phenotypes, finding results consistent with existing literature.