S.S. Zhumazhanova1, N.A. Alekseenko2, E.V. Sheveleva3

1–3 Omsk State Technical University (Omsk, Russia)

Problem setting. Currently, experts in the field of "Smart Healthcare" are successfully developing one of the advanced technologies of personalized medicine – the technology of "digital twins". A digital twin is a virtual model of a physical object that has a bidirectional data exchange between a physical object and its corresponding twin. In the near future, digital twins will be able to make a large-scale transformation in medicine, in particular, improve the possibilities of diagnosis, monitoring and treatment of patients, reduce associated costs, and also lead to the creation of more personalized treatment methods. At the same time, the creation of digital twins in medicine is complicated by the fact that the simulated objects (organs and systems of human life-activity) are complex living systems influenced by many external and internal factors. In this regard, it seems appropriate to study and summarize the world experience of experimental research of digital twins in the field of healthcare.

Target. To review the use of digital twins for personalized medicine with conclusions about the directions, prospects and problems of their creation and use.

Results. A comprehensive review of publications is presented to identify the methods and algorithms used, including those based on artificial intelligence systems, to create digital twins; conclusions are drawn about possible directions of their development, including using thermographic images of the human face and body.

Practical significance. The results of the review allow us to visualize the current state in the development of digital twins and the prospects for their development in personalized medicine, as well as to identify the main reasons that hinder their widespread implementation. The status of research, applied concepts, key and auxiliary methods and algorithms are demonstrated. Recommendations for future developments of digital twins are outlined.

Zhumazhanova S.S., Alekseenko N.A., Sheveleva E.V. Applied methods and algorithms for the technology of "digital twins" in personalized medicine. Neurocomputers. 2023. V. 25. № 3. Р. 41-55. DOI: https://doi.org/10.18127/j19998554-202303-03 (In Russian)

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