Observational analysis shows digital twins can predict health indicators in patients, suggesting advances in personalized medicine.
The use of digital twins to predict the values of leading indicators of patients' health status, as well as the consequences of events and their outcomes, is one of the most promising areas of modern healthcare. The widespread use of such digital technologies contributes to the modernization of medicine at all stages, which makes it possible to optimize algorithms for diagnosis, treatment, rehabilitation and prevention. This opens a new path to personalized medicine, where the risks of developing diseases and complications are identified long before their clinical manifestation.
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Гриневич et al. (2025) studied this question.
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