Background Inflammatory bowel disease (IBD) patients in China exhibit critically low levels of physical activity, yet evidence for telemedicine-based aerobic exercise interventions remains scarce, ...

Objective This study aimed to evaluate the prevalence and predictors of cardiovascular disease (CVD), chronic kidney disease ...

Background Amyloid transthyretin (ATTR) amyloidosis is a rare, life-threatening disease frequently manifesting with ...

Main outcome measures Cumulative time dependent intake of preservatives, including those in industrial food brands, assessed ...

Organizations have a wealth of unstructured data that most AI models can’t yet read. Preparing and contextualizing this data ...

Statistical methods are mathematical formulas, models, and techniques that are used in statistical analysis of raw research data. The application of statistical methods extracts information from ...

Discover how econometricians use math and statistics to analyze and predict economic trends, serving in finance and academia ...

Discover how businesses and government agencies can use capital investment analysis to assess the potential of long-term ...

Background Up to half of patients with infective endocarditis (IE) require cardiac surgery. Although anaemia is common, its precise prevalence, transfusion practices and impact on outcomes in ...

Decision-making inherently involves cause–effect relationships that introduce causal challenges. We argue that reliable algorithms for decision-making need to build upon causal reasoning. Addressing ...

OpenAI’s latest valuation round pegged the company at roughly $500 billion, making it perhaps the most valuable startup in Silicon Valley and one of the most valuable privately held companies in the ...

Background The epidemiology of native valve infective endocarditis (IE) has shifted toward older adults with substantial ...