digital twin is a virtual model of a patient or organ, continuously updated with real-time data from its physical counterpart. It helps clinicians predict how a patient will respond to a drug, plan surgery, and choose the best therapy. Key uses include precision drug dosing and virtual clinical trials. Obstacles include the gap between what personalized medicine could do in theory and what hospitals can do at the bedside, along with data quality, privacy, and regulatory and ethical issues.