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

An external validation study provided guidance into needed revisions to an earlier model used to predict a pregnant woman's risk for developing gestational diabetes mellitus (GDM) early during ...

Recent advances in diabetes detection may help to identify risk earlier. In this article, MNT discusses recent studies that ...

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 ...

Integrated metabolomic, genetic, and lifestyle data improved type 2 diabetes risk prediction and highlighted new targets for ...

Your blood reveals diabetes danger years before symptoms strike, through 235 hidden metabolites scientists just mapped. Mass ...

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 ...

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 umbilical cords of children who were later diagnosed with the disease.

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 ...