An Osaka Metropolitan University researcher examined whether abdominal obesity predicts frailty progression in 2,962 ...

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

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 ...

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

A study conducted by experts from the University of the Philippines-Diliman showed that logistic regression is a reliable model for predicting the performance of licensure examination takers. Released ...

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 ...

Pre-workout supplement use may be linked to shorter sleep, raising concerns about mood, recovery, and daily functioning.

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

The blood-based test by Astrin Biosciences shows high sensitivity and specificity across cancer stages and subtypes, ...

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

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

Learn how the Least Squares Criterion determines the line of best fit for data analysis, enhancing predictive accuracy in finance, economics, and investing.