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 ...

Please provide your email address to receive an email when new articles are posted on . Machine learning models using continuous glucose monitor and demographic data were more accurate at estimating ...

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 ...

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 ...

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 ...

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 ...

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 ...

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.