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 ...

Discover how a new model uses clinical data to predict the best glucose-lowering therapy for type 2 diabetes, enhancing treatment outcomes.

The diabetes prediction system is designed to predict the risk of diabetes utilizing clinical and genetic information through deep learning artificial intelligence algorithms.

For example, his medical background was instrumental in developing a pre-diabetes prediction model by identifying crucial ...

The International Diabetes Federation recently endorsed ... “which is less likely and suggests that future prediction models should be developed, using other factors, for a more specific risk ...

Since the model prioritises key information in blood sugar trends, it enables prediction that matches ... making it more accessible for everyday diabetes management, informed NIT Rourkela.

Venous thromboembolism (VTE) remains the leading direct cause of maternal mortality during or up to 6 weeks after the end of ...