Decision support for personalized therapy in implantable medical devices: A digital twin approach

Haochen Yang, Zhihao Jiang

Abstract: Highlights•Introduced RL-based therapy personalization for IMDs.•Proposed algorithms for digital twin creation from physiological data.•Emphasized need for periodic updates in digital twin for efficacy.•Framework validated using virtual patient data.•Digital twin outperforms static personalized models.

External IDs:doi:10.1016/j.eswa.2023.122883