Mary E. Gwin

The paper compares systemic immune parameters between Black and White lung cancer patients, finding significant differences in cytokine levels and immune cell populations.

Cmai predicts antigen-antibody interactions from high-throughput BCR sequencing data, revealing immune responses to tumor antigens and ICI treatment outcomes.

This paper develops pMTnet-omni, an AI system predicting TCR-pMHC binding across species and MHC classes, achieving high accuracy and showing clinical utility in predicting immune-related adverse events.