Keeping tabs on blood sugar throughout the day used to be the exclusive domain of people with diabetes. But in 2026, anyone can buy a user-friendly wearable device that provides minute-by-minute ...
A recent Scientific Reports study evaluated the performance of different machine learning models in detecting hepatitis among people with diabetes. Diabetes mellitus (DM) has been deemed to be one of ...
This study highlights the potential for using deep learning methods on longitudinal health data from both primary and ...
In a recent study published in BMC Medicine, researchers identified diabetic individuals among populations with normal fasting glucose using common physical examination indexes via machine learning ...
Artificial intelligence and predictive analytics are advancing diabetes prevention, diagnosis, and management by integrating data from continuous glucose monitors, electronic health records, and other ...
Please provide your email address to receive an email when new articles are posted on . The machine-learning model successfully identified all eyes with mild NPDR that progressed within 1 year. The ...
UAB researchers have launched DiaClue, a free web-based tool that helps clinicians classify diabetes into five subtypes, ...
The same type of machine learning methods used to pilot self-driving cars and beat top chess players could help type-1 diabetes sufferers keep their blood glucose levels in a safe range. The same type ...
More than half of diabetes patients believe that popular weight loss drugs alone may improve their health, according to a new report. At the same time, 42% of patients reported a life-threatening ...
The week before heading off to college, Harry Emerson was diagnosed with type 1 diabetes. Without the ability to produce insulin, the hormone that transports blood sugar to fuel other cells, he’d need ...
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