A study conducted by experts from the University of the Philippines-Diliman showed that logistic regression is a reliable ...

A new model improves prediction of spontaneous stone passage using ultrasound and CT. Learn how it can guide conservative ...

Researchers developed a data-driven framework for autonomous tomato harvesting, improving success rates through YOLOv8-based ...

Background The likelihood of HIV acquisition is increased following forced vaginal sex. This relates in part to ...

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

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

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

This study found that certain characteristics in linked electronic health record data across episodes of care can help identify patients with Alzheimer disease and related dementias at high risk of 30 ...

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

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

Researchers developed and validated a machine-learning algorithm for predicting nutritional risk in patients with nasopharyngeal carcinoma.