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In this compelling Research Roundtable talk, ISB President and Professor Dr. Jim Heath explores how generative AI is revolutionizing our understanding of the human immune system. Dr. Heath introduces TARPON, a novel AI model that can generate realistic T cell receptors (TCRs) based on sequence data and patient metadata — shedding new light on the diversity of human immunity across aging, cancer, infectious disease, and chronic illness. By analyzing over 1 million TCRs, TARPON reveals immune “rule sets” shaped in the fetal thymus and shows how these rules can break down in adults — with significant implications for disease severity, especially in older men facing infections like COVID-19. Watch to learn how AI is helping decode immune function, predict disease outcomes, and identify potential pathways for next-generation therapies. Learn more about the Institute for Systems Biology: https://isbscience.org Topics covered: T cells and immune system diversity Why mouse models fall short for human immunology How generative AI models like TARPON work Rule violations in immune development AI-driven insights into COVID-19 severity Future directions for AI and systems biology