This document discusses the promise and challenges of personalized medicine. It begins by outlining the promise of using an individual's genomic and other health data to more accurately diagnose, treat, and manage disease. However, it notes that analyzing all the relevant factors for personalized medicine at scale currently poses immense computational challenges. The document then describes several case studies that demonstrate more effective approaches to personalized medicine using multi-trait analysis of many genomic and clinical factors. It argues that empowering individuals to better manage their own health using personalized digital tools could help shift healthcare outside of traditional settings and lower costs while improving outcomes.