Health digital twins as tools for precision medicine: Considerations for computation, implementation, and regulation.
review · Level V
Where this comes from
- Record sourced from PubMed, PMID 36138125.
- Also identified by DOI 10.1038/s41746-022-00694-7 and PMC identifier 9500019.
- Licence recorded as CC BY.
- The licence permits redistribution, so the abstract is shown in full and the full text is available from the publisher.
Abstract
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.