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The New Frontier of Digital Twins in Next-Gen Wearables for Personalized Health Tracking

The New Frontier of Digital Twins in Next-Gen Wearables for Personalized Health Tracking
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Author(s): A. Ashwini (Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, India), G. Santhiya (SRM Valliammai Engineering College, India)and S. Balasubramaniam (Kerala University of Digital Sciences, Innovation and Technology, India)
Copyright: 2025
Pages: 32
Source title: AI-Powered Digital Twins for Predictive Healthcare: Creating Virtual Replicas of Humans
Source Author(s)/Editor(s): Balasubramaniam S. (Kerala University of Digital Sciences, Innovation, and Technology, India)and Seifedine Kadry (Lebanese American University, Lebanon & Noroff University College, Norway)
DOI: 10.4018/979-8-3373-0538-7.ch004

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Abstract

Next-generation wearable technologies and digital twins are the two ingredients that make the field of individual health monitoring innovation. Digital twins are virtual representations of people, which assimilate data from wearable devices with biometric data and use analytic and machine learning tools to produce models of human health that change in real-time. The biomechanical equivalents of these variables help in enhancing the examination of cyclers' physiological alterations in a way that creates more compelling proposals for patient-oriented medical treatments. By integrating this data with digital twin models, healthcare providers can simulate scenarios, predict potential health risks, and tailor treatment plans to the unique needs of each patient. As the integration of digital twins with wearable technologies continues to evolve, it promises to unlock new frontiers in personalized health tracking, revolutionizing the way individuals and clinicians manage health and wellness.

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