Emergency Medicine

AI Bandage Speeds Up Wound Healing

Not all wounds heal at the same pace, and chronic wounds can be especially difficult to treat. Engineers at the University of California, Santa Cruz have created a smart bandage called a-Heal that uses artificial intelligence and bioelectronics to monitor and accelerate healing. The device combines a small camera, machine learning, and therapeutic delivery in one wearable system. Every two hours, a-Heal captures images of the wound and analyzes them using an AI model. If healing is slower than expected, the system responds by applying either fluoxetine to reduce inflammation or an electric field to stimulate cell migration. This closed-loop approach allows for personalized treatment based on real-time data. The AI model, developed by Marcella Gomez, uses reinforcement learning to adapt its strategy over time. It learns from each patient’s healing progress and adjusts interventions accordingly. The device also sends updates to a secure web interface, so clinicians can monitor recovery remotely. Tests conducted with the University of California Davis showed that wounds treated with a-Heal healed about 25 percent faster than those receiving standard care. The device attaches to a regular bandage and operates wirelessly, making it easy to use in both clinical and home settings. This technology represents a major advance in personalized wound care. By integrating sensing, diagnosis, and treatment into one system, a-Heal could help patients recover faster and reduce the burden on healthcare providers.

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Multifunctional Hydrogel Accelerates Diabetic Wound Healing and Regulates Blood Sugar

Researchers at Northwest University in China have developed a novel hydrogel treatment that shows significant promise for managing diabetic wounds while also helping regulate blood sugar levels. Chronic wounds are a common and dangerous complication of diabetes, often exacerbated by

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Algorithmic Advances: A Monthly Recap of AI in Healthcare (July 2025)

Artificial intelligence may not be a classic “gizmo,” but it’s become an undeniable, rapidly evolving force in healthcare. From streamlining clinical workflows to flagging anomalies in imaging, algorithms are working their way into nearly every corner of medicine. The jury’s

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