Diabetes In Control. A free weekly diabetes newsletter for Medical Professionals.

For people with diabetes, a retinal photograph has traditionally answered one major question: Is diabetic retinopathy developing? However, artificial intelligence is beginning to uncover much more. Emerging retinal AI models for systemic risk assessment can detect patterns associated with cardiovascular disease, kidney disease, blood pressure, and metabolic health. As a resul...

Diabetes care has traditionally focused on what patients eat, how much they exercise, and which medications they use. However, a growing field adds another question: when do these things happen? Research into circadian medicine in diabetes care suggests that the body’s internal clock may influence insulin sensitivity, glucose tolerance, hormone secretion, inflammation, and ev...

For many people with diabetes, lowering LDL cholesterol is a major part of preventing heart attack and stroke. Yet an important clinical puzzle remains. Why do some patients experience cardiovascular events even after LDL reaches recommended targets? Growing evidence points toward lipoprotein(a), or Lp(a), as one possible piece of that puzzle. As a result, screening for lipop...

Artificial intelligence is entering diabetes care in a surprisingly quiet way. Rather than appearing as a chatbot or separate decision-support tool, increasingly sophisticated algorithms are being built into automated insulin delivery systems. Adaptive insulin pump hardware can work with continuous glucose monitor (CGM) data, recent insulin delivery, and chan...

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 repre...