Digital doubles represent a conceptual shift from static electronic medical records to dynamic, predictive models for personalized therapy.
Digital doubles may aid therapy correction; hypothesis-generating and requires larger trials before practice change.
The patient’s digital double is a dynamic computer model that includes medical and physiological characteristics of a particular patient, that is, in fact, a digital copy of a person. The patient’s medical data in dynamics are loaded into this model, and the conclusions based on the model can be used to correct therapy. Thus, an electronic medical card from a static storage turns into an interactive tool that is able to predict the development of the disease and a reaction to various medical interventions.
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Seliverstov et al. (2025) studied this question.
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