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 secondary care to develop low-cost predictive tools for screening of young-onset ...
Hosted on MSN

AI model enables personalized blood glucose predictions for type one diabetes

Type 1 diabetes (T1D) is an autoimmune condition in which the body's own immune system attacks insulin-producing cells. As a result, patients with T1D must closely monitor their blood glucose (BG) ...

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, ...
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 ...
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, ...
Frontiers

Computational modelling and AI for Brain and Behaviour: integrating prediction with inference

Computational modelling, machine learning, and broader artificial (AI) intelligence approaches are now key approaches used to understanding and predicting ...