AI-powered closed-loop wearable bioelectronics for personalized and autonomous healthcare
- July 20, 2026
Bingbing Gao, Zhenyou Ge, Xianyou Sun, Baobao Lin, Yuji Gao, Jihong Min, Qiang Zhang, John A. Rogers, Xinge Yu, Wei Gao & Chwee Teck Lim
Abstract
The growing burden of chronic disease and demand for continuous care are pushing exposing the limits of wearable devices that can only collect health data. Artificial intelligence (AI)-powered closed-loop wearable bioelectronics is emerging as a route to personalized and autonomous healthcare by linking real-time biosensing with therapeutic intervention. Here we examine how sensing hardware, AI-based control and therapeutic modules can be integrated to close the gap between monitoring and intervention. Current wearable devices and many bioelectronic prototypes still separate data generation from timely therapy. A central message is that clinical value depends not on isolated sensors or therapeutic actuators, but on coordinated biosensing, AI-guided decision-making, therapy and human oversight. Hardware advances alone are insufficient unless they are accompanied by stable long-term interfaces, robust control, transparent safety mechanisms and evidence of patient benefit. Addressing these challenges can help establish closed-loop wearable bioelectronics as scalable platforms for personalized care.
Link [AI-powered closed-loop wearable bioelectronics for personalized and autonomous healthcare]
