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.

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 ...

This overview examines the integration of machine learning (ML) approaches into diabetes prediction and diagnosis, highlighting the evolution from classical statistical methods to advanced data-driven ...

MASLD is prevalent in T2DM patients, with a 65% occurrence rate, and poses a higher risk for severe liver diseases. The study analyzed 3,836 T2DM patients, identifying key predictors like BMI, ...

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 ...

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 risk for poor glycemic control in patients with type 2 diabetes can be predicted with confidence by using machine learning methods, a new study finds. The most important factors predicting ...

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 ...

SEATTLE--(BUSINESS WIRE)--Know Labs, Inc. (NYSE American: KNW) today announced results from a new study titled, “Novel data preprocessing techniques in an expanded dataset improve machine learning ...

Medical device company Know Labs Inc. reported results from a new study showing that continued algorithm refinement combined with more high-quality data significantly increased the accuracy of its ...