Digital Twin
A virtual replica of a patient for personalized medicine and drug development
A digital twin is a virtual replica of a patient or biological system that mirrors real-world behavior, enabling personalized treatment planning, drug response prediction, and continuous health monitoring through simulation.
Digital Twin vs Digital Patient
| Aspect | Digital Twin | Digital Patient |
|---|---|---|
| Scope | Specific individual | Individual or population |
| Updates | Real-time, continuous | Snapshot-based |
| Primary Use | Personalized medicine | Drug discovery R&D |
| Data Sources | Wearables, EHR, real-time | Omics, clinical trials |
Applications in Healthcare
Personalized Treatment
Simulate treatment options on a patient's digital twin before administering therapy in the real world.
Dose Optimization
Find optimal drug doses for individual patients based on their unique pharmacokinetic profiles.
Disease Monitoring
Track disease progression and predict exacerbations through continuous digital twin updates.
Clinical Decision Support
Help clinicians make evidence-based decisions by simulating outcomes on the patient's digital twin.
Frequently Asked Questions
What is a digital twin in healthcare?
A digital twin in healthcare is a virtual replica of an individual patient that mirrors their physiological state, enabling personalized treatment planning and drug response prediction.
How are digital twins created?
Digital twins are built from multi-modal health data including genomics, wearable sensor data, electronic health records, imaging, and lab results. Machine learning models integrate this data into a continuously updating virtual patient.