Insulin resistance—when the body doesn't properly respond to insulin, a hormone that helps control blood glucose levels—is ...

Tear fluid is emerging as an attractive source of diagnostic information because it can be collected easily and noninvasively ...

Diabetic retinopathy develops through complex microvascular damage driven by chronic hyperglycemia, yet traditional risk ...

This is a retrospective, descriptive case-control study on the epidemiological, radiological, and therapeutic aspects of diabetic foot in the diabetes department of Donka National Hospital, involving ...

Diabetic Retinopathy (DR) remains a leading cause of preventable vision impairment among individuals with diabetes, particularly when not identified in its early stages. Conventional diagnostic ...

Sun Pharma, one of India’s leading pharmaceutical companies with over four decades of experience in diabetes care, joined hands with MOMS Outdoor to execute a high-impact public awareness activation ...

Sticking to your medication plan, managing your blood sugar, and taking care of your mental health can all be important components of self-care for diabetic retinopathy. Self‑care can’t cure diabetic ...

As technology advances in diabetes care with continuous glucose monitors, insulin pumps and AI-driven alerts, another kind of intelligence is proving just as powerful: a dog’s nose. Across the country ...

Ensemble deep-learning system with xAI (Grad-CAM) for automated diabetic retinopathy detection and staging using retinal fundus images.

AI-assisted retinopathy screening in primary care may increase access to eye care for underserved patients. Artificial intelligence (AI)-assisted diabetic retinopathy screening (DRS) integrated ...

Forbes contributors publish independent expert analyses and insights. William A. Haseltine, Ph.D., covers genomics and regenerative medicine AI-powered retinal imaging closes healthcare gaps, enables ...