At the core of every AI coding agent is a technology called a large language model (LLM), which is a type of neural network ...

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

Introduction Armed conflict severely impacts health, with indirect deaths often exceeding direct casualties two to four times ...

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

Delayed consultation represents a major barrier to effective stroke management in Pointe-Noire. It is associated with ...

Background In May 2020, England banned menthol as a characterising flavour in cigarettes. However, the sale of menthol accessories (eg, filters, flavour cards) remains permitted. This study assessed ...

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

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

By Priyanjana Pramanik, MSc. By combining oxidative stress biology with advanced machine learning, researchers show how a simple blood-based antioxidant measure can significantly sharpen prediabetes ...

Dario Amodei, the C.E.O. of the artificial-intelligence company Anthropic, has been predicting that an A.I. “smarter than a Nobel Prize winner” in such fields as biology, math, engineering, and ...

Background Heart auscultation is a widely used and cost-effective clinical tool for detecting valvular heart disease (VHD), particularly in primary care. However, existing evidence on its diagnostic ...

A Virginia Commonwealth University (VCU) gastroenterologist and a global team of researchers have developed an artificial intelligence model that significantly improves doctors’ ability to predict ...