Розмір шрифта:
THE ARCHITECTURE AND PRINCIPLES OF BUILDING DIGITAL TWINS FOR PREDICTIVE DIAGNOSTICS IN PERSONALISED MEDICINE
Остання редакція: 2026-05-22
Анотація
This paper examines the architecture and principles underlying the creation of digital twins (a dynamic virtual model of a patient that is constantly updated using data [1]) for predictive diagnostics in personalised medicine. A digital twin is defined as a model that integrates information from electronic health records, genomic studies and IoT devices (Internet of Things – a network of sensors and devices that collect and transmit data [2]). It has been shown that such models are capable of taking into account a patient’s individual characteristics, operating at various levels – from the molecular to the organismal – as well as facilitating in silico experiments (computer simulations to test treatment scenarios or the impact of factors [3]), the detection of anomalies, and the support of clinical decisions. Particular attention is drawn to cybersecurity challenges and the ethical aspects of using sensitive biometric data. The study’s findings demonstrate the potential of digital twins to transform modern medicine from reactive to preventive and the prospects for their integration into the national healthcare system.
Ключові слова
digital twin, predictive diagnostics, personalised medicine, IoT devices, in silico experiments
Посилання
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2. Internet of Things (IoT). IoT Analytics Official Website [Electronic resource]. Available at: https://iot-analytics.com (Accessed: 01.05.2026).
3. Viceconti, M., Henney, A., Morley-Fletcher, E. In silico clinical trials: How computer simulation will transform the biomedical industry. International Journal of Clinical Trials. 2016. Vol. 3(2). P. 37–46. DOI: 10.18203/2349-3259.ijct20161408.
4. Nielsen, J. Usability Engineering. San Diego: Academic Press, 1994.
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6. Nykyporets S. S. Hadaichuk, N. M. Foreign language media literacy as a protective factor against AI-generated disinformation and psychological stress in technical higher education in Ukraine. Transformational vectors of public administration, law, and humanities in the development of the modern educational system: Scientific monograph. Riga, Latvia: “Baltija Publishing”, 2025. 492 p. P. 305-330. DOI: https://doi.org/10.30525/978-9934-26-647-8-14.
7. Кot S. O., Nykyporets, S. S. Activating students’ cognitive engagement in technical English learning with AI tools. Science and education in the third millennium: information technology, education, law, psychology, social security and work, management. International collective monograph. Volume I. Institute of Public Administration Affairs. Lublin, Polska, 2025. 532 p., Pp. 295-332. DOI: https://doi.org/10.5281/zenodo.16942267.
2. Internet of Things (IoT). IoT Analytics Official Website [Electronic resource]. Available at: https://iot-analytics.com (Accessed: 01.05.2026).
3. Viceconti, M., Henney, A., Morley-Fletcher, E. In silico clinical trials: How computer simulation will transform the biomedical industry. International Journal of Clinical Trials. 2016. Vol. 3(2). P. 37–46. DOI: 10.18203/2349-3259.ijct20161408.
4. Nielsen, J. Usability Engineering. San Diego: Academic Press, 1994.
5. Kravchenko K., Ketsyk-Zinchenko U., Suduk I., Nykyporets S., Cherednychenko V. Effectiveness of online platforms in developing language skills of higher education students. Revista Eduweb. 2025. 19(3). P. 303-314. DOI: https://doi.org/10.46502/issn.1856-7576/2025.19.03.19.
6. Nykyporets S. S. Hadaichuk, N. M. Foreign language media literacy as a protective factor against AI-generated disinformation and psychological stress in technical higher education in Ukraine. Transformational vectors of public administration, law, and humanities in the development of the modern educational system: Scientific monograph. Riga, Latvia: “Baltija Publishing”, 2025. 492 p. P. 305-330. DOI: https://doi.org/10.30525/978-9934-26-647-8-14.
7. Кot S. O., Nykyporets, S. S. Activating students’ cognitive engagement in technical English learning with AI tools. Science and education in the third millennium: information technology, education, law, psychology, social security and work, management. International collective monograph. Volume I. Institute of Public Administration Affairs. Lublin, Polska, 2025. 532 p., Pp. 295-332. DOI: https://doi.org/10.5281/zenodo.16942267.
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