UC San Diego study uses machine learning to dive deeper into diabetes risk

A new tool named T1GRS enables researchers to get more accurate, further-reaching risk scores for the greater population ...

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, ...
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

AI-driven model predicts type 1 diabetes risk with greater accuracy

Researchers use machine learning and genetic analysis to uncover type 1 diabetes risk factors, improving prediction accuracy ...

Umbilical cord blood may hold clues for a child’s risk of developing Type 1 diabetes

Our findings suggest that umbilical cord blood could help clinicians and parents more proactively address a child’s risk for ...

Wearable glucose monitors offer real-time data, but for healthy people no guidelines exist to interpret the numbers

But in 2026, anyone can buy a user-friendly wearable device that provides minute-by-minute readouts on how their glucose levels respond to food and movement. These glucose numbers are increasingly ...