How do you measure an aging immune system? HIP Co-CSOs publish new framework.

A new Nature Medicine Perspective, “Immune Aging Biomarkers for Clinical Trials,” tackles a question at the heart of HIP’s mission: there’s still no agreed-upon way to measure immune aging. Co-authored by HIP Co-Chief Scientific Officers Shai Shen-Orr and John Tsang, alongside researchers from Stanford, Yale, UConn, University College London, the National Institute on Aging, and others, the…

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Advances in Systems Immunology and Machine Learning

The convergence of advanced immune monitoring technologies and artificial intelligence, particularly machine learning, is creating unprecedented opportunities to decode human immunity.  In a comprehensive review published in the Annual Review of Immunology in April 2025, “Systems Human Immunology and AI: Immune Setpoint and Immune Health,” Yona Lei and HIP Co-Chief Science Officer John Tsang review and provide perspectives…

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First Diagnostic Immunome Accurately Predicts Disease

“Disease diagnostics using machine learning of B cell and T cell receptor sequences”, published in Science on February 21, 2025, is a world-first demonstration of the scientific underpinnings of the Human Immunome Project. The study, led by Maxim Zaslavsky, Erin Craig, Anshul Kundaje, Scott Boyd and colleagues at Stanford and other institutions, introduces a framework called Mal‑ID (MAchine Learning for Immunological Diagnosis)….

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Scientific Consensus Builds on Effort to Map and Model Human Immune System

BARCELONA, November 21, 2023 – The Human Immunome Project Into Action Conference, hosted at CosmoCaixa Museum of Science by the CaixaResearch Institute and Human Immunome Project (HIP), concluded with agreement on a scientific strategy to map and model the human immune system, the groups announced today. The global effort, which will produce publicly available AI…

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Measuring Your Immune Age: Beyond the Calendar

In 2019, a pre-eminent group of scientists including HIP Scientific Partner Network member Mark Davis and Co-Chief Science Officer Shai Shen-Orr published “A clinically meaningful metric of immune age derived from high-dimensional longitudinal monitoring” in Nature Medicine. Your immune system ages, but not necessarily at the same rate as your chronological age. Researchers followed 135…

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