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 on how advances in systems immunology and machine learning are being used to map and predict individual immune system states in health and disease. By combining cutting-edge AI with sophisticated immune monitoring, researchers are advancing new concepts about human immunity and developing tools that could transform how we prevent, diagnose, and treat disease.

Check out the very well done AI-generated summary of the article produced by Annual Reviews. 

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