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 ...
The University of Alabama at Birmingham

Diabetes subtype app helps clinicians personalize treatment

UAB researchers have launched DiaClue, a free web-based tool that helps clinicians classify diabetes into five subtypes, ...
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 ...

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 Type 1 diabetes. Cord blood is often tossed out during the birthing process ...
Phys.org

Machine learning automates material analysis and design using X-ray spectroscopy data

Understanding the properties of different materials is an important step in material design. X-ray absorption spectroscopy (XAS) is an important technique for this, as it reveals detailed insights ...
Morningstar

Machine Learning Can Forecast Which Stock Factors Will Outperform

A recent study, “Picking Winners in Factorland: A Machine Learning Approach to Predicting Factor Returns,” set out to answer a critical question: Can machine learning techniques improve the prediction ...
National Academies of Sciences%2c Engineering%2c and Medicine

Making Machine Learning Safer in High-Stakes Settings

Machine learning, a key enabler of artificial intelligence, is increasingly used for applications like self-driving cars, medical devices, and advanced robots that work near humans — all contexts ...
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, ...