Eric Topol highlights immunome paper combining multi-assay data with AI to model immune aging

EricTopol · x · 2026-10-28

Eric Topol shared an open-access paper on defining the human immunome, with a table outlining key assay classes: large-scale protein/antibody profiling, single-cell profiling, immune-receptor sequencing, quantitative imaging of immune organs (thymus, spleen, bone marrow), spatial tissue profiling, pre/post-challenge response measurements, and long-term AI-based modeling that combines data types to predict how aging and disease change immune health.

Related event: Nature paper by Eric Topol and colleagues charts measurable "immunome" for immune health(2 posts)→

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