The researchers argue that their findings, published in Scientific Reports, could help clinicians anticipate which patients ...

This article is a continuation of the 1st Stryker Brigade Combat Team (SBCT), 4th Infantry Division’s “Moneyball for Gunnery” ...

A new risk score may identify patients with node-negative pancreatic neuroendocrine tumors who face a high risk for ...

Researchers explore the use of smartphones coupled with clinical scores to evaluate motor function and predict dopamine ...

Customer churn remains a huge issue for telcos, but AI could be the key to changing that. Or, it could fail to live up to its ...

Pre-workout supplement use may be linked to shorter sleep, raising concerns about mood, recovery, and daily functioning.

Overview:  Python and Jupyter offer a simple, powerful setup for beginner-friendly data science learning. Real-world datasets ...

New NHANES data link red cell distribution width-to-albumin ratio with diabetic kidney disease risk. Learn more about this screening marker.

The researchers also argue that explainable AI models are essential for ensuring fairness and accountability in policy design. In traditional statistical models, the relationships between variables ...

Background In 2024, the UK National Institute of Health and Care Excellence (NICE) recommended TriageHF alerts as an option ...

According to a new study, machine learning can reliably identify patients at high risk of early dysphagia following acute ...

Discover the power of predictive modeling to forecast future outcomes using regression, neural networks, and more for improved business strategies and risk management.