This study highlights the potential of heart rate variability as an early indicator of gestational diabetes, facilitating ...

A risk prediction model assesses seven variables to determine the best intervention for lowering type 2 diabetes risk. Intensive lifestyle intervention was the optimal treatment strategy for most ...

Please provide your email address to receive an email when new articles are posted on . Computer models using machine learning and artificial intelligence successfully predicted gestational ...

In a recent study published in the European Heart Journal, researchers described the development and validation process of SCORE2-Diabetes, a prediction model containing a recalibrated algorithm ...

The initial risk score was generated using the San Antonio Diabetes Prediction Model (SADPM). For initial screening and identification of high-risk individuals, the optimal cut point was a risk ...

Patients with type 2 diabetes can determine their risk of chronic kidney disease (CKD) by using a risk prediction model. A study published in Diabetes, Obesity and Metabolism found that a risk ...

Leveraging cutting-edge metabolomics, this study unveils a cost-effective and accurate diabetes prediction model that could revolutionize early detection and prevention strategies. Study ...

Authors note the purpose of their study was to “examine whether a modified cardiometabolic disease staging (CMDS) system, a validated diabetes prediction model, predicts major adverse cardiovascular ...