Nature

Development of a machine learning-based interface for insulin dependency prediction using clinical data

Diabetes mellitus is a major global health burden, and early identification of insulin dependency is important for timely intervention. This study developed an artificial intelligence-based diagnostic ...
Nature

Optimized hybrid machine learning framework for early diabetes prediction using electrogastrograms

In recent years, diabetes has become a global public health problem, and it is reported that the migrant Indians have more prevalence rate of Type-II diabetes. Also, the type-II diabetes in Indians ...
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, ...
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) ...
AOL

Will you get diabetes? University of Texas professor develops AI to make better predictions

You've just been diagnosed with prediabetes: Wouldn't you want to know if you were in danger of actually getting diabetes? Wouldn't you want to know if the recommended intervention would actually ...