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AI-guided microneedles bend at body temperature to speed diabetic wound healing

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Hanyang University researchers develop AI-designed shape-shifting microneedles for diabetic wound healing
Researchers developed an AI-guided, 4D-printed microneedle patch inspired by the carnivorous plant Drosera capensis. The shape-changing device bends at body temperature to help close wounds while delivering regenerative DNA and antibacterial zinc treatment. In preclinical wound-healing experiments, the technology accelerated wound healing and promoted tissue regeneration. Credit: Hanyang University

Chronic wounds remain a major health care challenge, especially for people with diabetes, who often experience delayed healing, persistent inflammation and a higher risk of infection. Traditional wound-closure methods such as sutures, staples and adhesives can help bring wound edges together, but they do not actively respond to the body’s healing process.

Scientists are therefore exploring biomaterials that can adapt to biological environments while promoting tissue repair and preventing infection.

From plant behavior to patch design

Associate Professor Hyun-Do Jung from Hanyang University and his team, based in Korea, have now developed an artificial intelligence (AI)-guided microneedle patch that actively changes shape at physiological temperature (37°C) to help close wounds while delivering regenerative therapy and antibacterial protection.

The study combines AI, 4D printing, biomimicry, DNA nanotechnology and surface engineering in a single wound-healing platform. The paper was published in Advanced Materials.

The study was inspired by Drosera capensis, a carnivorous plant that captures prey through coordinated movement, adhesion and protective mechanisms. Drawing on these features, the researchers designed a shape-memory microneedle system capable of actively bending after placement in tissue.

The microneedles were fabricated using 4D printing, which enables structures to change shape in response to environmental stimuli.







Credit: Advanced Materials (2026). DOI: 10.1002/adma.202523665

AI narrowed the fabrication window

The team used machine-learning models to predict and optimize the shape-recovery behavior of the printed materials, reducing the need for extensive trial-and-error experimentation.

By analyzing how material composition and manufacturing conditions affected performance, the researchers identified an optimal fabrication window that balanced mechanical stability with rapid shape recovery. Among the machine-learning approaches evaluated, Gaussian Process Regression provided the most accurate predictions and the most reliable uncertainty estimates.

“This study goes beyond conventional biomimicry by using artificial intelligence to translate nature-inspired principles into a functional biomedical device. The key point of this research is not only that it is inspired by nature, but that AI helps convert biological inspiration into a predictable, programmable and clinically relevant wound-healing technology,” said Dr. Jung.

Healing support with antibacterial protection

Laboratory experiments showed that the microneedles rapidly recovered their programmed curved shape at body temperature, helping close wounds and maintain stable tissue contact. The platform also incorporated adhesive DNA nanoparticles designed to support tissue regeneration and a zinc-treated surface that provided antibacterial protection.

Tests demonstrated sustained DNA release, favorable responses from endothelial cells and fibroblasts involved in wound healing, and strong antibacterial activity against both Escherichia coli and Staphylococcus aureus.

In preclinical wound-healing experiments, the integrated system accelerated wound closure and improved tissue regeneration compared with conventional approaches.

Potential beyond wound closure

“Beyond wound healing, the AI-guided 4D-printing strategy could also be extended to soft biomedical robots or tissue-interfacing devices that require programmable motion, controlled shape transformation and stable contact with biological tissues,” Jung said.

While further research is needed before clinical use, the technology could be adapted for smart wound patches, implants, scaffolds and stents that respond to the body’s environment. In the long term, it may support the development of intelligent biomaterials that improve healing and reduce complications.

Publication details

Hyun Lee et al, AI–Guided 4D Printing of Carnivorous Plants–Inspired Microneedles for Accelerated Wound Healing, Advanced Materials (2026). DOI: 10.1002/adma.202523665

Journal information:
Advanced Materials


Key medical concepts

Microneedle Drug Delivery SystemStaphylococcus aureus

Clinical categories

Common illnesses & Prevention

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Hanyang University


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Sadie Harley

Sadie Harley

BSc Life Sciences & Ecology. Microbiology lab background with pharmaceutical news experience in oil, gas, and renewable industries.

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Robert Egan

Robert Egan

Bachelor’s in mathematical biology, Master’s in creative writing. Well-traveled with unique perspectives on science and language.

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Citation:
AI-guided microneedles bend at body temperature to speed diabetic wound healing (2026, June 26)
retrieved 27 June 2026
from https://medicalxpress.com/news/2026-06-ai-microneedles-body-temperature-diabetic.html

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