Advancing human health through boundary-breaking discovery
Princeton Precision Health envisions a future where human health is understood deeply - at the molecular, individual, and societal level - using sophisticated computational methods that integrate all factors of health to fairly and reliably predict outcomes, recommend effective treatments, and guide clinical practice and policy.
Our mission is to revolutionize the understanding and advancement of human health by conducting interdisciplinary foundational research, developing and harnessing advanced computational approaches, and educating the next generation of leaders.
News
Kai Li, the Paul M. Wythes ’55 P'86 and Marcia R. Wythes P’86 Professor in Computer Science and PPH Core Faculty member, has been elected to the American Academy of Arts and Sciences. The Academy honors excellence and convenes leaders from every field of human endeavor to “advance the interest, honor, dignity, and happiness of a free,…
Human health is influenced by an extraordinarily complicated range of factors, from genetics and socioeconomics to air quality and lifestyle factors like exercise. Princeton Precision Health (PPH) is taking aim at this whole complex picture, bringing together a unique combination of experts, giant datasets and advanced computational methods to…
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Research Highlights
Kidney disease is a leading cause of death in the United States and affects hundreds of millions of people worldwide. PPH researchers are developing data-driven approaches across fields to generate medical innovations, behavioral tools, and policy guidelines to improve health and equity in this area.
Understanding immunity and inflammation is key to addressing the major health challenges resulting from infection, autoimmune disorders, and environmental exposures. PPH researchers are addressing these challenges through developing sophisticated models and other computational frameworks in areas ranging from SARS-Cov2 infection to vaccine development and post-infection fatigue syndromes.
Hundreds of millions of people world-wide are affected by a wide range of challenges related to brain health. PPH researchers working in this area are developing novel computational methods to improve diagnostics, treatments, and policies in the areas of autism, Alzheimer's, and mental health disorders.
PPH researchers aim to address what may arguably be the biggest educational and mental health challenge facing our society today: the impact of personal technology and social media on mental health and cognition.