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 ...

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 ...

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. Scientists at ...

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 ...

Please provide your email address to receive an email when new articles are posted on . A noninvasive sensor may measure glucose values by using dielectric spectroscopy to scan radiofrequencies.

Organic electrochemical transistor (OECT), a powerful tool for chemical and biological sensing, can operate directly in aqueous environment at low voltages, which makes it ideal for wearable and ...