The risk for poor glycemic control in patients with type 2 diabetes can be predicted with confidence by using machine learning methods, a new study from Finland finds. The most important factors ...
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UVA Data Science researcher leads $4.7M project for AI-powered diabetes management
University of Virginia School of Data Science researcher Heman Shakeri has been awarded a major new research grant to lead work at the intersection of machine learning and diabetes care. Shakeri will ...
IBM is teaming up with a new organization — the Juvenile Diabetes Research Fund — to tackle a disease: type 1 diabetes. New York City-based JDRF is a nonprofit organization dedicated to type 1 ...
We were unable to process your request. Please try again later. If you continue to have this issue please contact [email protected]. Automated insulin delivery can be controlled by a neural ...
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. Type 1 ...
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