Novel AI-Driven Precision Strategies in Diabetic Wound Healing: Immunomodulation and Advances in Smart Composite Nanocarriers
Year: 2026
Type: article
Abstract: Diabetic chronic wounds (CWs) represent a recalcitrant, difficult-to-heal pathological condition characterized by an imbalance of the immune microenvironment. Smart composite nanocarriers for immune regulation enable multi-targeted, spatiotemporally controllable synergistic interventions by responding to pathological signals such as reactive oxygen species (ROS), pH, and abnormal enzyme activity, thereby offering a novel pharmaceutical strategy to overcome the limitations of traditional single-target therapies. Artificial intelligence (AI) integrates clinical and biological data to predict healing risks, optimize treatment plans and nanocarrier design, and dynamically adjust strategies based on patient conditions, ensuring precision and personalized therapies. This paper systematically reviews the immunopathological basis of CWs, summarizes the design rationale and functional evolution of immune-modulating smart composite nanocarriers, and discusses an AI-enabled precision therapy framework from an interdisciplinary perspective. It aims to establish a theoretical foundation and research paradigm for constructing programmable drug delivery systems tailored to complex disease microenvironments, facilitating the transition of smart nanopharmacy from material-oriented to system-regulation-oriented approaches, and accelerating the clinically predictable translation of diabetic wound therapies.
Source: Pharmaceutics
Authors: Yibin Zheng, Junshan Lan, Qian Huang, Qi Li, Yuting Liu, Bing Li, Xuan Wu, Qianxi Wang, Yongqi Liao, Xing Zhou, Zhipeng Teng, Jie Lou
Language: English
Topic: Wound Healing and Treatments
Subfield: Rehabilitation
Field: Medicine
Domain: Health Sciences
Open Access status: gold
Estimated APC paid: $3,499
Awards: G1833301761, G33805532, G6678564559, G722670735
OpenAlex ID: W7130351742
