A validated nomogram helps predict thyroid dysfunction in type 2 diabetes using common clinical markers. Learn how this model ...

OBJECTIVE To develop a model for the prediction of type 2 diabetes mellitus (T2DM) risk on the basis of a multivariate logistic model and 1-h plasma glucose concentration (1-h PG). RESEARCH DESIGN AND ...

Now, a new paper in BMC Medicine has further tested and enhanced the optimal prediction model, using data from more than 4,000 TrialNet participants, plus more than 7,000 participants from the ...

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 ...

Researchers develop an AI tool to predict cardiometabolic multimorbidity risk in type 2 diabetes, aiding early intervention and personalised care. Find out more.

The AI in Diabetes Management Market is poised for growth driven by increasing diabetes prevalence, demand for personalized ...

A study finds protein markers in umbilical cord blood that are linked to later development of type 1 diabetes. The results ...

In a recent study published in the journal Scientific Reports, researchers developed a pattern neural network (PNN) model that combined a novel measure of total antioxidant status with traditional ...

Recent research is highlighting different approaches that may better predict diabetes risk than current methods.

One day, there could be a new test to screen for type 1 diabetes, now that scientists have found markers in the blood of the ...