Discover the power of predictive modeling to forecast future outcomes using regression, neural networks, and more for improved business strategies and risk management.
Introduction Pre-exposure prophylaxis (PrEP) is an effective HIV prevention strategy, but its impact is limited by low uptake ...
Teenagers and young adults frequently rely on attention-grabbing pre-workout drinks to boost exercise performance, yet many notice increased tiredness the following day. Sleep is vital for maintaining ...
A new risk score may identify patients with node-negative pancreatic neuroendocrine tumors who face a high risk for ...
Researchers developed a data-driven framework for autonomous tomato harvesting, improving success rates through YOLOv8-based ...
Cui, J.X., Liu, K.H. and Liang, X.J. (2026) A Brief Discussion on the Theory and Application of Artificial Intelligence in ...
This article is a continuation of the 1st Stryker Brigade Combat Team (SBCT), 4th Infantry Division’s “Moneyball for Gunnery” ...
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.
Health researchers need to fully understand the underlying assumptions to uncover cause and effect. Timothy Feeney and Paul Zivich explain Physicians ask, answer, and interpret myriad causal questions ...
The authors provide a useful integrated analytical approach to investigating MASLD focused on diverse multiomic integration methods. The strength of evidence for this new resource is solid, as ...
Metabolic syndrome affects nearly 40% of adults, with sharper increases seen in older age groups and non-Hispanic Black ...