Digital Twins for Human Health

Main points — free preview

• A digital twin in medicine is a computational model of a specific patient — built from imaging, genomics, and clinical data — used to simulate treatment responses before interventions are applied.
• The FDA has issued guidance on computational modeling for medical devices, and researchers have published patient-specific cardiac and oncology twins — but clinical validation lags behind engineering demonstrations.
• The gap between 'digital twin' marketing and regulator-ready evidence is wide: most health twins remain research prototypes, not tools that hospitals can deploy with known accuracy and liability frameworks.