Blood Glucose Control

For decades, diabetes treatment has centered on medications, insulin therapy, lifestyle changes, and increasingly sophisticated medical devices. But what if a completely different approach could help regulate blood sugar without adding another drug? That intriguing question is driving research into hepatic neuromodulation for diabetes, a promising field that uses focused …

Hospital glucose management has long relied on reactive treatment strategies, especially sliding-scale insulin protocols that respond to blood glucose after it has already risen. While this approach remains common, healthcare systems are increasingly exploring AI solutions for inpatient diabetes care that predict glucose changes before they become dangerous. Instead of …

For more than a century, insulin has saved millions of lives. Yet despite remarkable advances in diabetes technology, one major challenge remains: preventing hypoglycemia while maintaining excellent glucose control. That is why researchers are developing glucose-responsive insulin, often called “smart” insulin. Instead of delivering a fixed amount of insulin regardless …

Continuous glucose monitoring (CGM) has fundamentally changed diabetes management by giving patients and clinicians access to real-time glucose data. As a result, treatment decisions have become more precise, and many people with diabetes now spend more time within their target glucose range. However, glucose represents only one part of the …

For decades, diabetes management has focused on what patients eat and how much they consume. However, emerging research suggests another factor deserves attention: when they eat. The growing field of chrono-nutrition research in diabetes explores how meal timing interacts with the body’s internal clock to influence glucose metabolism, insulin sensitivity, …

For decades, A1C has served as the gold standard for assessing long-term glucose control in people with diabetes. However, it tells only part of the story. Researchers are now exploring whether metabolic flexibility could become an important biomarker in diabetes, offering a deeper understanding of metabolic health than A1C alone. …

For years, artificial sweeteners have been promoted as an important strategy for reducing sugar intake in people with diabetes. They help lower carbohydrate intake, reduce post-meal glucose spikes, and support weight management without adding calories. However, recent research has challenged the long-held assumption that all non-nutritive sweeteners are metabolically neutral. …

Many people think of liver function tests as a way to detect liver disease. However, researchers are discovering that routine liver enzymes may also reveal important clues about future metabolic health. Understanding liver enzymes diabetes risk is becoming increasingly important because these commonly ordered blood tests may help identify people …

For decades, diagnosing diabetes has depended on blood tests performed during routine medical visits. However, what if your smartwatch could recognize early warning signs before glucose levels become high enough for a formal diagnosis? Researchers are now exploring wearable technologies for diabetes screening that continuously analyze physiologic data collected throughout …

As diabetes technology continues to evolve, clinicians are increasingly faced with an important question: should patients still be using flash continuous glucose monitoring (CGM), or is it time to switch to real-time CGM? While flash CGM systems have significantly improved glucose monitoring and patient engagement over traditional fingerstick testing, real-time …