Nature

Machine Learning Applications in Diabetes Prediction and Diagnosis

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 ...
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, ...
MobiHealthNews

Google launches drug disposal tool, first real-world clinical use of ML for diabetes-related diseases

Google has been busy recently. Just in the past week it has closed down its Google Fit website, launched a new drug disposal tool and announced the first clinical use of Verily’s machine learning tool ...

Dario Demonstrates Clinically Meaningful Blood Glucose Improvements and Personalized Glycemic Trajectories Across 22,000+ Users: Machine Learning Study Fi…

DarioHealth Corp. (NASDAQ: DRIO) (the "Company", "DarioHealth" or "Dario"), a leader in global digital health, today ...
Becker's Hospital Review

Children’s Mercy, Joslin Diabetes Center to use machine learning for diabetes management

Children’s Mercy Kansas City (Mo.) and Boston-based Joslin Diabetes Center will deploy predictive models for Type 1 diabetes management using technology from Cambridge, Mass.-based Cyft. Cyft ...
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 ...