The Lancet

When to and when not to use machine learning in risk prediction models

Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered considerable interest among researchers. The debate around the use of machine ...
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

Novel Artificial Intelligence Models Detect Type 1 Diabetes Risk Before Clinical Onset

CHICAGO, June 20, 2025 /PRNewswire/ -- Developments from two studies highlighting the potential for machine learning leveraging artificial intelligence (AI) technology to improve early-stage ...
Tampa Free Press on MSN

Florida-led study: "Discarded" umbilical cords could predict future diabetes

One day, there could be a new test to screen for type 1 diabetes, now that scientists have found markers in the blood of the umbilical cords of children who were later diagnosed with the disease. In ...
News-Medical.Net on MSN

Umbilical cord blood markers may predict future type 1 diabetes

One day, there could be a new test to screen for type 1 diabetes, now that scientists have found markers in the blood of the umbilical cords of children who were later diagnosed with the disease. In ...