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…
Read MoreFirst 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)….
Read MoreScientists Develop First Universal Immune Health Metric
“A unified metric of human immune health,” published by a distinguished group of scientists in Nature Medicine in July 2024 – including HIP Co-Chief Science Officer John Tsang – developed a new way to measure how healthy your immune system is, called the Immune Health Metric (IHM). By studying blood samples from over 200 patients…
Read MoreScientific 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…
Read MoreMeasuring 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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