The concept of using digital twins to predict the values of leading indicators of patients' condition

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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Publication Details

Journal
Vrach
Published
2025-09-09
DOI
https://doi.org/10.29296/25877305-2025-09-16
Citations
7
Primary Topic
Digital Transformation in Industry
Type
article
Field-Weighted Citation Impact
8.70
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article

The concept of using digital twins to predict the values of leading indicators of patients' condition

Е. V. Kryukov, P. Seliverstov, Evgeniy Minakov, В. Б. Гриневич
7 citations
Vrach
Digital Transformation in Industry
8.70
article

The concept of using digital twins to predict the values of leading indicators of patients' condition

Е. V. Kryukov, P. Seliverstov, Evgeniy Minakov, В. Б. Гриневич
article en
7 citations

Abstract

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.

Vrach
S. M. Kirov Military Medical Academy (RU), Military Space Academy named after AF Mozhaisky (RU)
Openalex Percentile: Top 2%
Digital Transformation in Industry
8.70
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