Despite decades of independent progress in population ecology and movement ecology, researchers have lacked a theoretical bridge between these two disciplines. "Ecologists have been trying to ...

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

The Go for Bold initiative, which aims to help individuals in Washington County, Maryland, lose 1 million lb by 2030, serves as a successful, replicable model for community-wide health improvement. In ...

Introduction The Netherlands implemented a supermarket tobacco sales ban on 1 July 2024. This study aimed to evaluate ...

As patients and employers look for alternatives to pricey GLP-1 drugs, Silicon Valley startup Twin Health is using AI and wearable sensors to help people make healthier choices. Rodney Buckley has ...

Objectives To evaluate whether type 2 diabetes mellitus (T2DM) presence and severity are associated with differences in global and domain-specific cognitive function among US adults, using ...

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

Objective Unplanned hospital readmissions within 30 days of discharge measure the quality of healthcare. This study aims to ...

Introduction Implementing shared decision-making (SDM) in maternity care remains challenging in low-income and middle-income ...

Proof-of-concept trial in a single patient shows that cells can survive transplantation without immunosuppression ...

A new machine learning model built using a simple and interpretable approach predicts in-hospital death in patients with acute liver failure and reveals top risk drivers.

Artificial intelligence is entering the era of self-improvement. On Thursday afternoon, OpenAI released a new cutting-edge coding model that the company said assisted in its own creation.