The American Journal of Managed Care

Novel Machine Learning Model Improves MASLD Detection in Type 2 Diabetes

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, ...
News-Medical.Net on MSN

Gut bacteria patterns help predict insulin resistance in type 2 diabetes, study finds

By Hugo Francisco de Souza A new study shows that gut microbiome signatures, analyzed through advanced machine learning, can help identify individuals with more severe insulin resistance, offering ...
Nasdaq

Glucotrack and OneTwo Analytics Present Positive Final Results of First-In-Human Study for Continuous Blood Glucose Monitor at American Diabetes Association’s 85th Scientific ...

Comprehensive analysis confirms safety and strong accuracy of Glucotrack's innovative blood-based continuous glucose monitoring technology, with MARD of 7.7% RUTHERFORD, N.J. and STOCKHOLM, June 25, ...
Scientific Research Publishing

A Hybrid Machine Learning Framework for Early Diabetes Prediction in Sierra Leone Using Feature Selection and Soft-Voting Ensemble ()

A Hybrid Machine Learning Framework for Early Diabetes Prediction in Sierra Leone Using Feature Selection and Soft-Voting Ensemble ...
Open Heart

Enhanced cardiovascular disease risk prediction using integrated machine learning models: a study from the UK Biobank cohort

Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk identification to improve prevention and management strategies. Traditional risk ...