Self-powered intelligence for personalized healthcare

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ID: 315062
2026
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Abstract
Abstract Personalized healthcare is crucial for transforming medical practice, offering more precise, efficient, and patient-centred care. It not only improves individual health outcomes but also enhances the overall efficiency of healthcare systems. Wearable and implantable devices have emerged as key technologies in this transformation, offering unprecedented opportunities for real-time physiological monitoring, early disease detection, and personalized health intervention. In parallel, the rapid advancement of artificial intelligence (AI) has further accelerated the integration of data-driven intelligence into healthcare systems, making interdisciplinary research at the intersection of AI, flexible electronics, and biomedical engineering increasingly important. However, the long-term deployment of intelligent wearable and implantable healthcare systems remains fundamentally constrained by power sustainability, mechanical flexibility, and the energy cost of on-device data processing. This review focuses on self-powered intelligence as an emerging paradigm for personalized healthcare, enabling continuous, long-term and autonomous health monitoring beyond the limitations of battery-powered systems. By integrating flexible and smart electronics with low-power AI, self-powered intelligence provide a viable pathway toward intelligent, on-body and in-body healthcare platforms capable of real-time analysis and personalized health management.
Reference Key
openalex_W7162515641 Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Yeyun Cai, Ziyue Kong, Pengfei Jin, Xiangyang Wang, Ruizhe Hou, Ning Ding, Hailing Fu, Eric M. Yeatman, Chengkuo Lee, Fang Deng, J C Chen
Journal national science review
Year 2026
DOI
10.1093/nsr/nwag317
URL
https://doi.org/10.1093/nsr/nwag317
Keywords Keywords not found

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