ArticleFrontiers in public health2025
Development of a personal health management system integrating digital twin technology and smart wearables in China.
Article in Frontiers in public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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1 citing paper in PubMed.
- Domain-informed weight forecasting: leveraging behavioral and physiological sequences from wearables.Frontiers in public health · 2026Article
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4 authors.
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Abstract
Introduction: Traditional health management primarily focuses on treating existing diseases, while neglecting early intervention, prevention, and proactive health maintenance. In contrast, modern Personal Health Management (PHM) emphasizes on prevention alongside treatment. However, the effectiveness of PHM is constrained by several challenges, including limited awareness of proactive health management, the complexity of physiological data generated by smart wearables, and the high cost and scarcity of high-quality medical resources. Methods: To address these issues, this study explores the integration of smart wearables and digital twin technology in PHM. In the first phase, the study conducted semi-structured interviews with users to confirm current challenges and, with experts to explore promising opportunities in PHM. Drawing on the insights, the paper proposed assumptions regarding the synergistic potential of digital twin technology and smart wearables. In the second phase, the study developed the smart wearables empowered Healthy Digital Twin (HDT) generation model through the incorporation insights and experiences from multiple case studies. Results: The HDT model comprises four key layers: data monitoring, data aggregation, modeling and computation, and human-computer interaction. In the third phase, the study organized an expert workshop, leading to the development of a comprehensive Product-Service System for full-cycle PHM, based on the HDT model. This system encompasses three main components: a health visualization and early warning, a remote collaborative diagnosis and treatment, and an intelligent recommendation. Discussion: This system helps to enhance health awareness, optimize daily health management, improve the telemedicine process, and fully utilize the potential of digital healthcare.
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