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Scientists Discover Way to Send Information into Black Holes Without Using Energy

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New AI-Powered Microneedle Patch Bends Inside the Body to Heal Diabetic Wounds Faster

A new generation of intelligent biomaterials can adapt to the body, close wounds faster and fight infections

Chronic wounds are one of the most serious medical challenges faced today, especially among people living with diabetes. Unlike normal injuries that heal naturally over time, diabetic wounds often remain open for long periods due to poor blood circulation, delayed tissue repair, excessive inflammation and increased risk of dangerous infections. These complications can lead to severe health problems and, in some cases, even require major medical interventions.

Current methods used to close wounds, such as sutures, staples and medical adhesives, can help bring damaged tissues together. However, these methods are mostly passive. They do not actively respond to changes inside the body or provide additional support for the complex biological process of healing.

Now, researchers are developing a new generation of smart wound-healing technologies that can interact with the body. Scientists from South Korea have created an artificial intelligence (AI)-guided microneedle patch that can automatically change its shape at body temperature, improve wound closure and deliver healing therapies directly to damaged tissue.

The innovative system was developed by Associate Professor Hyun-Do Jung and his research team at Hanyang University. Their work combines artificial intelligence, 4D printing, biomimicry, DNA nanotechnology and advanced surface engineering to create a highly adaptive wound-healing platform. The findings were published in the journal Advanced Materials.

Inspired by a Carnivorous Plant

The idea behind this advanced technology came from nature. Researchers studied the behavior of the carnivorous plant Drosera capensis, commonly known as the Cape sundew. This plant captures insects through coordinated movements, strong adhesion and protective mechanisms.

Using this natural inspiration, scientists designed artificial microneedles that can change their shape after being inserted into tissue. Unlike traditional needles or patches, these microneedles are not fixed structures. They are designed to respond to environmental changes inside the body.

The researchers used a technology called 4D printing to manufacture the microneedles. While traditional 3D printing creates fixed objects, 4D printing allows materials to transform their shape over time when exposed to specific triggers, such as heat, moisture or other environmental conditions.

In this case, the microneedles were programmed to bend when they reached the human body’s natural temperature of around 37°C. This shape transformation helps the patch maintain better contact with the wound area, supporting faster and more effective healing.

Artificial Intelligence Improves Smart Design

Creating a material that can reliably change shape is a complex process. The performance of the microneedles depends on many factors, including material composition, printing conditions and structural design.

To solve this challenge, the researchers used machine-learning algorithms to predict how different materials and manufacturing conditions would affect the microneedles’ behavior.

Instead of relying only on repeated experiments, AI helped identify the best combination of factors needed to create a strong yet flexible material. The researchers tested multiple machine-learning models and found that Gaussian Process Regression provided the most accurate predictions while also estimating uncertainty more effectively.

This AI-based approach reduced the amount of trial and error required during development. It allowed scientists to create a more predictable and programmable biomedical device.

According to Dr. Jung, the importance of this research goes beyond simply copying nature. The combination of AI and biomimicry allows scientists to transform biological ideas into practical medical technologies that can be controlled and optimized.

More Than Just Closing Wounds

The smart microneedle patch does not only help bring wound edges together. It also delivers additional biological support to encourage tissue repair.

The researchers added DNA-based nanoparticles to the system. These nanoparticles are designed to release healing molecules over time, supporting the activity of important cells involved in tissue regeneration.

The patch also includes a zinc-treated surface that provides antibacterial protection. This is especially important for diabetic wounds because infections are a major reason these wounds become difficult to treat.

Laboratory tests showed that the system successfully supported the growth and activity of endothelial cells and fibroblasts. These cells play key roles in forming new blood vessels, producing new tissue and repairing damaged areas.

The patch also showed strong antibacterial activity against harmful bacteria, including Escherichia coli and Staphylococcus aureus, two common microbes associated with wound infections.

Faster Healing in Preclinical Tests

In experiments involving wound-healing models, the AI-guided microneedle system performed better than conventional approaches. The technology helped accelerate wound closure and improved tissue regeneration.

The ability of the microneedles to automatically adjust their shape allowed them to maintain stable contact with the wound surface. This improved the delivery of therapeutic materials and created a more supportive environment for healing.

Although the technology is still in the research stage and requires further testing before it can be used in hospitals, the results show strong potential for future medical applications.

A Future of Intelligent Medical Devices

The researchers believe this technology could have applications far beyond diabetic wound treatment.

The AI-guided 4D-printing approach may help create future soft medical robots, smart implants and tissue-interacting devices that can move, adapt and maintain contact with the human body.

In the future, similar materials could be used in advanced wound patches, artificial tissues, scaffolds for regeneration and medical devices such as stents that respond intelligently to the body’s environment.

This research represents a major step toward the development of intelligent biomaterials — materials that do not simply exist inside the body but actively respond and assist biological processes.

By combining the intelligence of AI with the adaptability of nature, scientists are moving closer to creating medical technologies that can heal faster, prevent complications and provide personalized treatment for patients.

The AI-guided microneedle patch is a powerful example of how modern science is merging biology, engineering and artificial intelligence to solve some of medicine’s most difficult challenges.

Reference: H. Lee, M.-J. Kim, D. Kim, et al. “AI–Guided 4D Printing of Carnivorous Plants–Inspired Microneedles for Accelerated Wound Healing.” Advanced Materials (2026): e23665. https://doi.org/10.1002/adma.202523665

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