Tag Archives: AI in healthcare

Modern diabetes clinical trials look very different from the tightly controlled, site-centered studies clinicians relied on a decade ago. Remote visits, continuous glucose monitoring, wearable sensors, digital data collection, and broader enrollment are changing how evidence is generated. Meanwhile, newer trial designs can make studies more flexible and potentially more …

Every new diabetes medication must prove it is both safe and effective before reaching patients. Traditionally, that process depends on large clinical trials that require thousands of volunteers, years of follow-up, and significant financial investment. However, what if researchers could reduce the number of participants while still producing reliable scientific …

For many people living with diabetes, foot complications often begin quietly. A small pressure point, unnoticed inflammation, or minor skin breakdown can slowly develop into a serious ulcer. Unfortunately, traditional diabetic foot care has long been reactive. Clinicians typically intervene after visible wounds appear, when treatment becomes more difficult and …

What if your next diabetes appointment started before you even walked in—an algorithm already having reviewed your CGM data, flagged risks, and drafted a care plan? That’s not science fiction. It’s the emerging reality of AI-powered workflows for diabetes care, where intelligent systems work behind the scenes to support clinicians …

Artificial intelligence (AI) is transforming many aspects of diabetes care, and smart insulin management powered by AI is quickly becoming one of its most promising innovations. Tools that read continuous glucose monitor (CGM) data and suggest insulin changes are rapidly entering clinical use. But while these tools are powerful, they …

Imagine a virtual version of yourself, a “mirror you” inside a computer, where doctors and you can test different treatments, diets, or lifestyle changes — without any risk. This is not science fiction anymore. In recent years, researchers have begun applying the concept of “digital twins diabetes” — virtual patient …