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 ...

Use of tanning beds more than doubles the risk of developing melanoma by increasing the mutation burden in melanocytes, including at skin sites with ...

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 ...

HIV and tuberculosis (TB) treatment programs have always relied on clinical trials to understand whether treatment ...

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

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 ...

A large NHANES analysis found that nearly four in ten US adults met criteria for metabolic syndrome between 2013 and 2023, ...

By comparing clinical cohorts and populations from Singapore and the US, researchers will study infectious diseases, corneal disorders, liver transplant outcomes, diabetes and lung cancer to uncover ...

Objectives Functional foods have demonstrated potential in preventing gastrointestinal and musculoskeletal (osteo-related) ...

A Scientific Reports study developed a pattern neural network that integrates total antioxidant status with clinical and ...