Harvey Ira Pass

The paper identifies 17 human thymic epithelial cell subsets using single-cell data and shows they share a common ancestor and regulatory logic, with some conservation in mice.

This study identifies genotype-specific immune and metabolic vulnerabilities in lung adenocarcinoma through cross-species analysis of human and mouse tumors.

The paper introduces a segmentation-free vision transformer, CANVAS, to discover and characterize tumor microenvironment signatures from high-dimensional multiplexed images, identifying a monocytic signature linked to poor prognosis.

This study uses deep learning to predict YAP1/TEAD activity from histology slides, linking histological patterns to disease aggressiveness in cancer patients.

This study identifies inflammation in tumor-adjacent lung tissue as a predictor of clinical outcome in lung adenocarcinoma using multi-omic analysis of 143 stage I cases.

The paper analyzes multi-omic data from two pig heart xenografts in human decedents to identify immune and metabolic responses associated with rejection and injury.

The paper investigates how anti-cancer immunity evolves from preneoplasia to invasive lung adenocarcinomas, identifying changes in immune response and molecular features that may facilitate immune evasion.

This study examines DNA methylation changes and intra-tumor heterogeneity in lung adenocarcinoma progression, finding increased methylation aberrations and immunosuppression in later-stage lesions.

The paper evaluates reference samples for genome-scale miRNA profiling and develops metrics and an online pipeline to assess measurement performance.