UC San Diego Today

Predicting Genetic Risk for Type 1 Diabetes Just Got More Accurate Thanks to UC San Diego Study

A new machine learning tool called T1GRS accurately predicts the genetic risk of developing Type 1 diabetes in both children ...
The Lancet

Detection of young-onset type 2 diabetes using deep learning across primary and secondary care: a nationwide, retrospective cohort study

This study highlights the potential for using deep learning methods on longitudinal health data from both primary and ...
News Medical

Researchers develop diabetes prediction system using clinical and genetic data

A research team led by professor Nan-Hee Kim from Korea University's College of Medicine (Nan-Hee Kim and So-Young Park of Department of Endocrinology and Metabolism; Min-Hee Kim and Jae-Young Kim of ...
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, ...
Morningstar

Dario Demonstrates Clinically Meaningful Blood Glucose Improvements and Personalized Glycemic Trajectories Across 22,000+ Users: Machine Learning Study Findings Published in ...

NEW YORK, March 10, 2026 /PRNewswire/ -- DarioHealth Corp. (NASDAQ: DRIO) (the "Company", "DarioHealth" or "Dario"), a leader in global digital health, today announced the publication of new ...

Predicting genetic risk for type 1 diabetes just got more accurate thanks to machine learning study

In people with type 1 diabetes (T1D), the immune system shuts down the body's ability to make the hormone insulin, ...