TY - JOUR
T1 - Materials and System Design for Self-Decision Bioelectronic Systems
AU - Zeng, Qiankun
AU - Liu, Hong
AU - Zhang, Yongheng
AU - Zheng, Youbin
AU - Ding, Xuyin
AU - Zhu, Mengni
AU - Shi, Guoyue
AU - Wang, Yan
AU - Haick, Hossam
AU - Zhang, Min
N1 - Publisher Copyright:
© 2026 The Author(s). Advanced Materials published by Wiley-VCH GmbH.
PY - 2026
Y1 - 2026
N2 - Self-decision bioelectronic systems mark a transformative leap from conventional ‘sense-then-treat’ paradigms toward autonomous, closed-loop therapeutics, with material innovation serving as the pivotal enabler. This review posits that material innovation is the pivotal enabler of this transition, seamlessly integrating high-performance sensing, intelligent computation, and adaptive intervention. We elucidate how recent advances in electrochemical, electrophysiological, optical, and mechanical sensors fabricated from soft conductors, responsive polymers, and nanocomposites yield critical data streams for reliable physiological monitoring. We further explore how decision-making architectures, ranging from threshold-based logic to neuromorphic computation, transform these data into real-time therapeutic commands. Diverse material platforms are positioned as the central drivers of functional outputs, enabling precise electrical stimulation, on-demand drug delivery, mechanical actuation, and optical modulation, as demonstrated in artificial pancreas systems, neurointerventions, and smart wound dressings. Finally, we discuss system-level integration strategies and confront the enduring challenges, including biointegration, sustainable power, and regulatory translation, that must be overcome for clinical adoption. By threading the narrative through the lens of material innovation, this review not only surveys the current landscape but also provides a unique materials- and engineering-oriented perspective, aiming to chart a roadmap for next-generation autonomous and personalized medicine.
AB - Self-decision bioelectronic systems mark a transformative leap from conventional ‘sense-then-treat’ paradigms toward autonomous, closed-loop therapeutics, with material innovation serving as the pivotal enabler. This review posits that material innovation is the pivotal enabler of this transition, seamlessly integrating high-performance sensing, intelligent computation, and adaptive intervention. We elucidate how recent advances in electrochemical, electrophysiological, optical, and mechanical sensors fabricated from soft conductors, responsive polymers, and nanocomposites yield critical data streams for reliable physiological monitoring. We further explore how decision-making architectures, ranging from threshold-based logic to neuromorphic computation, transform these data into real-time therapeutic commands. Diverse material platforms are positioned as the central drivers of functional outputs, enabling precise electrical stimulation, on-demand drug delivery, mechanical actuation, and optical modulation, as demonstrated in artificial pancreas systems, neurointerventions, and smart wound dressings. Finally, we discuss system-level integration strategies and confront the enduring challenges, including biointegration, sustainable power, and regulatory translation, that must be overcome for clinical adoption. By threading the narrative through the lens of material innovation, this review not only surveys the current landscape but also provides a unique materials- and engineering-oriented perspective, aiming to chart a roadmap for next-generation autonomous and personalized medicine.
KW - biosensors
KW - closed-loop systems
KW - functional materials
KW - neuromorphic computation
KW - personalized medicine
KW - self-decision bioelectronics
UR - https://www.scopus.com/pages/publications/105027236066
U2 - 10.1002/adma.202521164
DO - 10.1002/adma.202521164
M3 - 文献综述
AN - SCOPUS:105027236066
SN - 0935-9648
JO - Advanced Materials
JF - Advanced Materials
ER -