Personalized Health Data

Personalized health profiles would rely on an individual’s own data instead of only general rules or population averages. Generic nutrition, fasting, fitness, and sleep recommendations are overly simplistic because physiology varies substantially. Potential data sources include Apple Health, continuous glucose monitors, Garmin wearables, and other health devices. Health personalization depends on integrating data from multiple devices and platforms. Integrated analysis aims to correlate nutrition, fitness, sleep, heart rate, HRV, respiration, and other markers.