TY - JOUR
T1 - Self-powered intelligence for personalized healthcare
AU - Cai, Yeyun
AU - Kong, Ziyue
AU - Jin, Pengfei
AU - Wang, Xiangyang
AU - Hou, Ruizhe
AU - Ding, Ning
AU - Fu, Hailing
AU - Yeatman, Eric M.
AU - Lee, Chengkuo
AU - Deng, Fang
AU - Chen, Jie
N1 - Publisher Copyright:
© The Author(s) 2026. Published by Oxford University Press on behalf of China Science Publishing & Media Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
PY - 2026/7
Y1 - 2026/7
N2 - Personalized healthcare is crucial for transforming medical practice, offering more precise, efficient, and patient-centerd 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.
AB - Personalized healthcare is crucial for transforming medical practice, offering more precise, efficient, and patient-centerd 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.
KW - energy harvesting
KW - flexible and smart electronics
KW - lightweight intelligence
KW - personalized healthcare
KW - wearable/implantable devices
UR - https://www.scopus.com/pages/publications/105042622528
U2 - 10.1093/nsr/nwag317
DO - 10.1093/nsr/nwag317
M3 - Review article
AN - SCOPUS:105042622528
SN - 2095-5138
VL - 13
JO - National Science Review
JF - National Science Review
IS - 13
M1 - nwag317
ER -