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 ...

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 ...

We were unable to process your request. Please try again later. If you continue to have this issue please contact customerservice@slackinc.com. Automated insulin delivery can be controlled by a neural ...

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 ...

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 ...