A model of care that tailors prevention, diagnosis, and treatment to an individual's genetics, biomarkers, and health data, rather than a one-size-fits-all standard.

Personalized medicine uses an individual's genetic profile, biomarkers, lifestyle, and health history to tailor prevention and treatment, instead of applying the same protocol to everyone with a given diagnosis. In aging research, this means prevention and treatment strategies that account for a person's biological age and risk profile, not just their calendar age.

AI plays a growing role here because personalizing care at scale requires finding patterns across large, complex datasets that would be difficult to interpret manually.

Research publication: Definitions reflect current research status and are for educational purposes. This is not medical advice.