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

A. Ashwini,

G. Santhiya,

S. Balasubramaniam

et al.

Advances in computational intelligence and robotics book series, Journal Year: 2025, Volume and Issue: unknown, P. 107 - 138

Published: March 28, 2025

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

Language: Английский

Thermal comfort in sight: Thermal affordance and its visual assessment for sustainable streetscape design DOI
S. Yang, Adrian Chong, Pengyuan Liu

et al.

Building and Environment, Journal Year: 2025, Volume and Issue: unknown, P. 112569 - 112569

Published: Jan. 1, 2025

Language: Английский

Citations

1

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

A. Ashwini,

G. Santhiya,

S. Balasubramaniam

et al.

Advances in computational intelligence and robotics book series, Journal Year: 2025, Volume and Issue: unknown, P. 107 - 138

Published: March 28, 2025

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

Language: Английский

Citations

0