Abstract OBJECTIVE To develop a model for the prediction of type 2 diabetes mellitus (T2DM) risk on the basis of a multivariate logistic model and 1-h plasma glucose concentration (1-h PG).

Novel Diabetes Gene Therapy Shows Potential for Re-Dosing Using Non-Viral Delivery System AUSTIN, Texas, June 23, 2025 /PRNewswire/ -- Genprex, Inc. ("Genprex" or the "Company") (NASDAQ: GNPX), a ...

Diabetes Prediction with AI This project demonstrates a machine learning solution for predicting diabetes based on user-provided health data. The application uses Streamlit for an interactive web ...

Machine learning for high-risk hospitalization prediction in outpatient individuals with diabetes at a tertiary hospital ...

One of the most common diseases in the world is diabetes for which no certain cure has been found yet; the only promising way for these patients to survive is to take care. Fasting blood sugar (FBS) ...

Multiple disease prediction such as Diabetes, Heart disease, Kidney disease, Breast cancer, Liver disease, Malaria, and Pneumonia using supervised machine learning and deep learning algorithms.

Does treatment with semaglutide in patients with type 2 diabetes and chronic kidney disease (CKD) prevent the progression of CKD or death from kidney and cardiovascular events?

Background Diabetes often places a large burden on people with diabetes (hereafter ‘patients’) and the society, that is, in part attributable to its complications. However, evidence from models ...

Prediction model for type 2 diabetes mellitus and its association with mortality using machine learning in three independent cohorts from South Korea, Japan, and the UK: a model development and ...