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

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

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

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

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 ...

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

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

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 ...

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

Baseline neuropsychiatric profiles in older adults stratify future cognitive decline, neuropathology, and risk for MCI or dementia.

Introduction Pre-exposure prophylaxis (PrEP) is an effective HIV prevention strategy, but its impact is limited by low uptake ...

MFIs rely on standardized interest rate systems that treat borrowers uniformly, regardless of the individual likelihood of ...