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Related Concept Videos

Clinical Applications of Epidermal Stem Cells01:19

Clinical Applications of Epidermal Stem Cells

Epidermal stem cells (EpiSCs) are mainly located at the basal layer of the epidermis. These cells repair minor injuries of the skin and replace dead skin cells. However, EpiSCs’ cannot heal severe wounds such as major burns or those from diabetes or hereditary disorders. In such cases, culturing the epidermal stem cells from the patient is possible and has yielded successful treatment options, such as laboratory-grown skin grafts. These grafts are synthesized using a patient’s own EpiSCs...

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AI-Derived Smart Microneedle Systems for Advanced Wound Management: From Intelligent Sensing to Closed-Loop Therapy.

Xinran Chen1, Kaiwen Zhou1, Xin Li1

  • 1Jiangsu Provincial University Key Laboratory of Green Biomanufacturing for Pharmaceuticals, College of Biotechnology and Pharmaceutical Engineering, School of Pharmaceutical Sciences, Nanjing Tech University, Nanjing, China.

Macromolecular Bioscience
|June 24, 2026
PubMed
Summary
This summary is machine-generated.

AI-assisted smart microneedle (MN) systems offer advanced wound management solutions. These systems integrate sensing, drug delivery, and AI for intelligent, personalized wound care, overcoming limitations of traditional methods.

Keywords:
artificial intelligenceclosed‐loop regulationdrug deliverymicroneedle systemswearable sensingwound healing

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Area of Science:

  • Biomedical Engineering
  • Materials Science
  • Artificial Intelligence

Background:

  • Skin damage presents a significant clinical challenge in wound healing.
  • Traditional wound care lacks dynamic monitoring and regulation of the wound microenvironment.
  • Smart microneedle (MN) systems offer minimally invasive access for sensing and localized drug delivery.

Purpose of the Study:

  • To review recent advances in AI-assisted smart MN systems for advanced wound management.
  • To explore material innovation, structural engineering, fabrication, and multifunctional integration of these systems.
  • To highlight emerging applications and future opportunities in intelligent wound care.

Main Methods:

  • Review of recent literature on AI-assisted smart MN systems.
  • Analysis of material innovations and MN structural engineering.
  • Examination of fabrication technologies and multifunctional integration.

Main Results:

  • AI-assisted smart MN systems enable localized drug delivery and biochemical sensing.
  • Emerging applications include therapeutic delivery, antibacterial intervention, and wearable sensing.
  • AI-driven closed-loop regulation is a key development for personalized wound management.

Conclusions:

  • AI-assisted smart MN systems represent a significant advancement in wound management.
  • Integration of sensing, therapy, and AI is crucial for effective closed-loop systems.
  • Future opportunities lie in developing intelligent, personalized, and data-driven wound care solutions.