Human Health Is Not One Size Fits All

Princeton Precision Health develops novel computational, data-driven approaches and theoretical frameworks to build predictive models of individual health risks and disease outcomes. We aim to leverage the vast amount of diverse data becoming available along with cutting edge computational technologies to uncover how environmental and social contexts interact with genetic and molecular processes, enabling more accurate predictions of health outcomes and more personalized, effective interventions for all.


 

Our Approach

scientist working on a computer
lsi atrium