1. IntroductionIn today's world, hardly a day passes without encountering terms such as data science, big data, and AI.

Many people regularly take medication, but what many don’t know: Some of these drugs can leave measurable traces in the body ...

Artificial intelligence (AI) is rapidly transforming biomarker discovery by unlocking insights from vast and complex datasets ...

Objectives: This study aimed to evaluate the effectiveness of value-based care (VBC) interventions in slowing the progression of chronic kidney disease (CKD), as measured by changes in estimated ...

Learn what residual standard deviation is, how to calculate it in regression analysis, and why it's crucial for measuring predictability and goodness-of-fit in data modeling.

Objective SLE affects multiple organs and is associated with increased mortality and organ damage. While treatment ...

This important study used five metrics to compare the cost-effectiveness of intramural and extramural research funded by the National Institutes of Health in the United States between 2009 and 2019.

Background: Low back pain (LBP) is a leading cause of disability worldwide, with its burden increasing due to population growth and ageing. Postmenopausal women are disproportionately affected, ...

Abstract: Polycystic Ovary Syndrome (PCOS) is a prevalent endocrine disorder worldwide, presenting challenges such as miscarriage and fertility issues. Utilizing Data Visualization (DV) tools like bar ...