CHICAGO, June 20, 2025 /PRNewswire/ -- Developments from two studies highlighting the potential for machine learning leveraging artificial intelligence (AI) technology to improve early-stage ...
Machine learning (ML) has been used in many areas of diabetes research, from basic studies to predictive tools that can help doctors and patients make better and timely decisions.
"Identification of Earlier Stage Autoimmune Type 1 Diabetes Using Machine Learning Algorithms" study featured at American Diabetes Association’s 85 th Scientific Sessions The retrospective cohort ...
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, ...
Senior research scientist and software engineer at Chicago State University, Deekshith Alladi, has published his latest research paper, “Novel Adaptive AI-power Insulin Navigator for Diabetes Using ...
Chronic diseases such as Type 2 diabetes take a massive toll on Canadians, both on our health and on our health-care system. Since obesity and inactivity are major risk factors for diabetes, the most ...
Background: An update on the degree to which patients with type 2 diabetes in Canada achieve treatment targets is needed to document progress and identify subgroups that need attention. We sought to ...
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