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Title Digital Twins For Telemedicine And Personalized Medicine
ID_Doc 20295
Authors Yingngam B.; Khumsikiew J.; Netthong R.
Year 2024
Published Digital Twins for Smart Cities and Villages
DOI http://dx.doi.org/10.1016/B978-0-443-28884-5.00014-2
Abstract In the context of growing urban and rural communities seeking optimal health solutions, digital twins stand at the precipice of revolutionizing telemedicine and personalized medicine. This chapter aims to explore the nexus of these disciplines, highlighting the several ways in which digital twins can mirror, predict, and optimize an individual's health in real time, regardless of geographical constraints. Through the synthesis of biometric data, medical history, and continuous health monitoring, digital twins afford a deeply personalized model of patient health. This facilitates healthcare professionals' ability to deliver timely, precise, and effective remote care. Additionally, a bibliometric analysis is provided to shed light on emerging research trends and the depth of integration of digital twins in the healthcare sector. Delving deeper, a case study on type 2 diabetes illustrates the successful integration of these technologies and their transformative potential in managing chronic ailments. Furthermore, in the field of personalized medicine, these virtual replicas can simulate the effects of treatments and interventions on the individual's embodiment before administering them, mitigating risks, and tailoring treatments. The ripple effects of these innovations are profound, promising a healthcare landscape where telemedicine is as potent as in-person consultations and medical interventions are impeccably individualized. Consequently, amidst the evolving digital infrastructure of smart cities and villages, the imperative to leverage digital twins is crucial for nurturing a healthier global populace. © 2025 Elsevier Inc. All rights reserved.
Author Keywords Biometric data; Digital twins; Health monitoring; Personalized medicine; Remote healthcare; Telemedicine; Treatment simulation


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