Objective To characterise the age-related impact of organ damage patterns on health-related quality of life (HRQoL) in ...

Objective To examine whether a multicomponent commercial fitness app with very small (‘micro’) financial incentives (FI) ...

By training statistical and machine-learning models to predict expert visual scores, the study demonstrates that phenomics can match or outperform ...

The strong role of socioeconomic factors underscores the limits of purely spatial or technical solutions. While predictive models can identify where risk concentrates, addressing why it does so ...

This study examined the relationship between the Monetary Policy Rate (MPR) and inflation across five continents from 2014 to 2023 using both Frequentist and Bayesian Linear Mixed Models (LMM). It ...

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

Learn what is Linear Regression Cost Function in Machine Learning and how it is used. Linear Regression Cost function in Machine Learning is "error" representation between actual value and model ...

MONDAY, Nov. 10, 2025 (HealthDay News) — Multiple sclerosis (MS) is one of the most common autoimmune diseases affecting the brain and spinal cord, with 2.9 million people estimated to be living with ...

Objective To undertake a contemporary review of the impact of exercise based cardiac rehabilitation (ExCR) for patients with atrial fibrillation (AF). Data sources CENTRAL, MEDLINE, Embase, PsycINFO, ...

Whether you’re looking to sell or buy a home, you will no doubt encounter the multiple listing service, or MLS. The site and service are, in many ways, the very lifeblood of the real estate business.