Design for a Digital Twin in Clinical Patient Care
arXiv:2505.01206 · doi:10.1038/s44401-025-00060-1
Abstract
Digital Twins hold great potential to personalize clinical patient care, provided the concept is translated to meet specific requirements emerging from established clinical workflows. We present a general and unspecialized Digital Twin design combining knowledge graphs and ensemble learning to reflect the entire patient's clinical journey and assist clinicians in their decision-making. Such a design is predictive, modular, evolving, informed, interpretable and explainable, thus opening broad clinical applications.
Accepted version of the journal. Added clinical examples in the supplementary material and revised the introduction and section 3