In a new study, researchers found that time-in-range for healthy blood sugar could be a viable marker of glycemic control and potentially could be used to predict complications of type 1 diabetes.

GP Dr Roger Henderson provides an overview of the chronic complications of diabetes and the key preventive measures ...

This study reinforces the significance of intensive glycaemic control and is a paradigm shift in managing the disease and its ...

Time-in-range computed from virtual CGM data predicts retinopathy, neuropathy similarly to glycated hemoglobin data ...

Your body's blood sugar levels play an important role in managing your overall health, particularly among those who are ...

Breakfast is the most crucial meal of the day, particularly for people with diabetes and other chronic illnesses, according ...

Skipping breakfast can significantly disrupt blood sugar levels, worsen insulin resistance, and increase long-term health risks for individuals with diabetes, such as organ damage and accelerated ...

DelveInsight's diabetic ... of diabetic neuropathy in the 7MM were recorded for peripheral diabetic neuropathy, and this number is expected to rise by 2034. .Key Diabetic Nephropathy Companies ...

This code is designed for detecting Diabetic Retinopathy in retinal fundus images using a deep learning approach. It preprocesses the images, applies data augmentation to improve model generalization, ...

Data from continuous glucose monitors can predict nerve, eye and kidney damage caused by type 1 diabetes ... was as good a predictor of neuropathy, retinopathy and nephropathy as the standard ...

Data from continuous glucose monitors can predict nerve, eye and kidney damage caused by type 1 diabetes ... was as good a predictor of neuropathy, retinopathy and nephropathy as the standard ...

The Arogya Aarohan application to assess the risk of oral cancer is just one of the few AI-driven initiatives aimed at detecting diseases like tuberculosis, diabetic retinopathy, breast cancer, ...