Should health decisions be made using population level generalizations?

Or be specific to one’s own current health status?

Self predictive analytics are the core of Simupharma’s individualized health intelligence. Our core intelligence database starts with the biophysical properties of each molecule in the body, forming living models that are continuously  enriched by active and passive data streams, derived from the tapestry of known and emerging biomedical contexts. To make the best health decisions, we each need to know the specific system of properties that will be impacted.