Tag Archives: personalized medicine

Precision diabetes treatment aims to answer a question clinicians and patients face every day: which diabetes drug is most likely to work best for this particular person? A new analysis from the TriMaster crossover trial offers an important clue. Researchers compared several precision-medicine strategies for predicting responses to sitagliptin, canagliflozin, …

Artificial intelligence is rapidly changing how healthcare professionals diagnose disease. But can computers identify kidney damage before it becomes obvious under a microscope? Researchers believe the answer may be yes. The combination of digital pathology, artificial intelligence, and diabetic kidney disease research is opening new opportunities to identify microscopic kidney …

For years, diabetic kidney disease (DKD) has been viewed as a single condition that progresses in a fairly predictable way. However, new research suggests that this assumption may overlook important biological differences between patients. Scientists have now identified a previously hidden subtype of diabetic kidney disease marked by increased B-cell …

For years, diabetes care has emphasized one simple message: exercise regularly. While that advice remains essential, researchers are now asking a more specific question. Could when you exercise be just as important as how much you exercise? Emerging evidence suggests the answer may be yes. The growing field of chronotherapy, …

Diabetes often develops silently for years before blood sugar levels become high enough for a diagnosis. What if tiny biological packages circulating in the bloodstream could reveal those hidden changes long before symptoms appear? Researchers are increasingly studying how exosomes may serve as biomarkers for diabetes because these microscopic messengers …

Diabetes is often diagnosed only after blood sugar levels have already risen above normal. However, what if the earliest warning signs appeared years before glucose levels changed? That question is driving exciting research into metabolomics, a rapidly growing field that analyzes tiny molecules produced during normal metabolism. Instead of focusing …

Imagine prescribing the same diabetes medication to two patients with nearly identical A1C levels, only to see one achieve excellent glycemic control while the other experiences little benefit or troublesome side effects. This scenario is common in diabetes care and highlights an important question: could genetics explain these differences? Growing …

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, 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 …

The risk of side effects with GLP-1 therapies varies widely among patients, yet treatment decisions often overlook this variability. Why do some patients tolerate GLP-1 receptor agonists with ease while others discontinue early? Much like how individuals respond differently to diet or exercise, medication tolerance is influenced by a mix …