Kaushik P. Venkatesh; Marium Raza; Joseph C. Kvedar · 2022 · npj Digital Medicine
Paper
Health digital twins are defined as virtual representations ("digital twin") of patients ("physical twin") that are generated from multimodal patient data, population data, and real-time updates on patient and environmental variables. With appropriate use, HDTs can model random perturbations on the digital twin to gain insight into the expected behavior of the physical twin-offering groundbreaking applications in precision medicine, clinical trials, and public health. Main considerations for translating HDT research into clinical practice include computational requirements, clinical implementation, as well as data governance, and product oversight.
Analysis
This paper defines Health Digital Twins (HDTs) as virtual patient replicas using multimodal data for precision medicine, clinical trials, and public health, while outlining key considerations for their clinical translation.
Discovery
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