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 ...

Understanding the derivative of the cost function is key to mastering logistic regression. Learn how gradient descent updates ...

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 ...

Abstract: Financial sentiment analysis can help in understanding market trends and help organizations and individuals make important business decisions. Several machine learning approaches have been ...

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

Objectives To explore the levels of health-related functioning during pregnancy and postpartum and its association with non-severe maternal morbidities. Design An observational longitudinal study.

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.