Sequel Med Tech and Diabeloop today announced a collaboration to integrate a new algorithm into the twiist automated insulin ...
Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...
Researchers at Tsinghua University have created a rapid, label-free method using polarized light detection to identify and ...
Advanced fraud detection system using machine learning to identify fraudulent transactions and activities. This project implements multiple machine learning algorithms including Random Forest, XGBoost ...
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, ...
ABSTRACT: The recent surge in demand for timely and accurate health information has highlighted the need for more advanced data analysis tools. To reduce the incidence of preventable medical errors, ...
Objective: To develop a self-reportable risk assessment tool for elderly type 2 diabetes mellitus (T2DM) patients, evaluating risks of diabetic nephropathy (DN), retinopathy (DR), peripheral ...
Abstract: Diabetes Mellitus, the scientific name for diabetes, is a chronic metabolic disease that has various health effects on individuals all over the world. Diabetes is like a silent killer that ...
CHICAGO, June 20, 2025 /PRNewswire/ -- Developments from two studies highlighting the potential for machine learning leveraging artificial intelligence (AI) technology to improve early-stage ...
1 Faculty of Mathematics and Computer Science,, Felix Houphouët-Boigny University, Abidjan, Côte d’Ivoire. 2 Institute for Mathematical Research (IRMA), Abidjan, Côte d’Ivoire. 3 Higher Teacher ...
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