Advancing human health through boundary-breaking discovery powered by data science and AI
Princeton Precision Health develops novel AI approaches to integrate complex, traditionally siloed data—from genomic to social to environmental—to build predictive models of individual health risks and disease outcomes.
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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.