Worcester Polytechnic Institute (WPI) researchers have used a form of artificial intelligence (AI) to analyze anatomical changes in the brain and predict Alzheimer's disease with nearly 93% accuracy.

Objectives To evaluate whether type 2 diabetes mellitus (T2DM) presence and severity are associated with differences in ...

Rapid advances in artificial intelligence, machine learning, and data-driven computational modeling have opened unprecedented opportunities to transform ...

A new machine learning model built using a simple and interpretable approach predicts in-hospital death in patients with ...

Background Patients with heart failure (HF) frequently suffer from undetected declines in cardiorespiratory fitness (CRF), ...

Both approaches identified hemoglobin as one of the most significant predictors of CKD risk. Additional top-ranked features included blood urea, sodium levels, red blood cell count, potassium, and ...

aInstitute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA bSchool of Medicine, University of Washington, Seattle, WA, USA cGeneral Medicine Service, Department of ...

A Hybrid Machine Learning Framework for Early Diabetes Prediction in Sierra Leone Using Feature Selection and Soft-Voting Ensemble ...

Abstract: Insulin is an ongoing disorder that has a chance to lead to a worldwide health crisis. The United Nations Diabetes Organization estimates that 382 million people worldwide have diabetes.

Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk identification to improve prevention and management strategies. Traditional risk ...

Fenerbahçe and Nottingham Forest clash this Thursday at the Sukru Saracoglu Stadium of the UEFA Europa League. In their last fixture, Fenerbahçe won 2-3 against Trabzonspor (Turkey Super Lig 2025/26).