Advanced smart bioelectronics for wound healing: biosensing, drug delivery, and artificial intelligence

Area of Science:

• Biomedical Engineering
• Wound Care Technology
• Artificial Intelligence in Healthcare

Background:

• Chronic wounds pose a significant clinical challenge due to complex healing processes and suboptimal outcomes.
• Current wound management strategies often lack real-time monitoring and personalized treatment approaches.

Purpose of the Study:

• To review the advancements in AI-enabled bioelectronic systems for chronic wound management.
• To explore the integration of biosensing, drug delivery, and AI for real-time wound monitoring and personalized treatment.

Main Methods:

• Review of current literature on smart bioelectronic systems and AI applications in wound care.
• Analysis of AI's role in tracking wound microenvironment parameters (pH, temperature, biomarkers).
• Examination of AI-driven predictive models for healing trajectories and on-demand drug delivery.

Main Results:

• AI enables real-time tracking of critical wound parameters via integrated biosensors.
• AI algorithms analyze sensor data to predict healing progression.
• AI facilitates personalized, on-demand drug release from smart bandages, optimizing treatment.

Conclusions:

• AI-powered bioelectronic systems offer a transformative approach to chronic wound management.
• These technologies have the potential to significantly improve patient outcomes and reduce healthcare expenditures.
• Further development is needed to address challenges in biocompatibility, scalability, and data privacy.