Scientists and engineers in the Princeton Precision Health initiative apply cutting-edge AI and computational models to massive datasets to develop a deep understanding of the factors that shape health and illness.
Princeton Precision Health: An interdisciplinary, AI-driven approach to tackling big questions about health and disease
Untangling biological threads from autism’s phenotypic patchwork reveals four core subtypes
Niv
PPH seed grant recipient Yael Niv receives $16M collaborative research grant to better understand mental illness.
AI at Princeton: Pushing limits, accelerating discovery and serving humanity
Olga Troyanskaya with group
Princeton Precision Health: Using machine learning and data to improve health
Olga Troyanskaya
Team of researchers led by Olga Troyanskaya discover sex-specific difference in immunity genes lead to worse COVID outcomes for men