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From antimicrobial attack to regeneration: AI-feedback bioelectronics for wound healing

Authors
Seo, Jong HwaJung, Hyun-Do
Issue Date
Mar-2026
Publisher
Cell Press
Citation
Cell Biomaterials, v.2, no.3
Indexed
SCOPUS
Journal Title
Cell Biomaterials
Volume
2
Number
3
URI
https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/219402
DOI
10.1016/j.celbio.2026.100371
ISSN
3050-5623
3050-5623
Abstract
Infectious wounds require distinct therapeutic strategies across healing stages, yet most current treatments remain static. Yuan et al. introduce an AI-assisted bioelectronic platform that dynamically switches between antimicrobial intervention and regenerative modulation. This work highlights how feedback-guided bioelectronics can enable stage-aware, closed-loop wound management.
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COLLEGE OF ENGINEERING (SCHOOL OF MATERIALS SCIENCE AND ENGINEERING)
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