HydrogelsPaper

Cutting-Edge Smart Hydrogel Platforms for Improved Wound Healing

Ameya Sharma, Vivek Puri, Divya Dheer, Malkiet Kaur, Kampanart Huanbutta, Tanikan Sangnim · MDPI AG · 2026

Smart hydrogels enhance wound healing by responding to stimuli and integrating therapeutic agents, though challenges in scalability and regulation remain.

High AI ConfidenceStrong SourceUnknownEarly Research

Plain English summary

This review discusses advanced smart hydrogel platforms that improve wound healing by adapting to various stimuli like pH and temperature. It highlights the benefits of functionalized hydrogels, including their ability to enhance tissue regeneration and control infections compared to traditional dressings. The article also addresses the challenges of scaling production and regulatory approval for clinical use.

Why this matters

Chronic wounds are a growing healthcare challenge, and conventional treatments often fall short. Smart hydrogels offer a promising solution by providing a more adaptive and effective approach to wound management, potentially improving patient outcomes and reducing healthcare costs.

Key findings

  • Smart hydrogels can respond to physiological and external stimuli.
  • Functionalized hydrogels enhance tissue regeneration and infection control.
  • Conductive hydrogels using bioelectrical signals accelerate healing.
  • Current clinical applications show efficacy, but scalability and regulatory issues persist.
  • Future research should focus on integrating biosensors and AI for intelligent wound care.

What's new

The review synthesizes current knowledge on smart hydrogels, emphasizing their adaptive responses and integration with advanced technologies for wound healing.

Limitations

The literature reviewed is predominantly preclinical, and significant barriers to large-scale manufacturing and regulatory approval are acknowledged.

Commercial context

While there are current clinical applications, challenges in manufacturing and regulatory approval hinder widespread commercial readiness.

Publication

Publisher
MDPI AG
Publication date
March 25, 2026
Research type
Paper
License
https://creativecommons.org/licenses/by/4.0/

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Method note: Summaries and ratings on this page are generated by AI from the abstract only. Read the original paper for full context. · Model: gpt-4o-mini-2024-07-18