Towards Discovering Digital Twins of Dementia Patients: Matching the Phases of Cognitive Decline

Digital twins in healthcare is an emerging area. Twins are created from data of past patients. The objective is to facilitate data‐driven decision support for clinicians for more precise and personalized dementia care. The project has three phases: (1) Twin discovering algorithm development from synthetic data; (2) Algorithm validation with real patient data; (3) Clinical implementation. The current work is related to Phase 1.