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The Predictive Medicine Group at Harvard Medical School works to realize the vision of Predictive Medicine by developing novel approaches for predicting human health. Our diverse group of researchers, clinicians, mathematicians, computer scientists and biologists develop advanced predictive models for a wide range of applications, including disease risk prediction, predictive pharmacovigilance, predictive health system dynamics and real-time public health surveillance.


Our research focuses on understanding the fundamental patterns of human disease and on developing novel approaches for predicting disease. PredMed researchers have created systems that allow doctors to predict dangerous clinical conditions years in advance, including suicide and domestic abuse, as well as predictive pharmacology systems that allow drug safety professionals to identify life-threatening adverse drug effects years in advance. 


PredMed researchers co-authored the first large-scale studies of COVID-19 vaccine effectiveness and safety using real-world data, published in the New England Journal of Medicine. They have advised the US government on establishing national biodefense systems in the wake of the 9/11 attacks, the Hong Kong government on building health infrastructure in response to the SARS pandemic, the Greek government on establishing biodefense systems for the 2004 Athens Summer Olympics, and the Chinese Government in advance of the 2008 Beijing Summer Olympics. We have worked with governments and healthcare organizations around the world, and our work has received awards from NASA, USAID, the State Department and The White House.

The Predictive Medicine Group is part of the Computational Health Informatics Program at Boston Children's Hospital. 

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