An AI model that learns without human input—by posing interesting queries for itself—might point the way to superintelligence ...
Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...
Introduction After the WHO prequalified the first vaccine against mpox, we aimed to identify the influence of vaccine ...
Morning Overview on MSN
Scientists build a ‘periodic table’ for AI models
Scientists are trying to tame the chaos of modern artificial intelligence by doing something very old fashioned: drawing a ...
Objectives This study aimed to identify the predictors of burnout, anxiety and depression among healthcare professionals during the COVID-19 pandemic. Design A secondary quantitative analysis of data ...
Background The National Heart Failure Audit gathers data on patients coded at discharge (or death) as having heart failure as ...
Background The relationship of social determinants of health (SDOH), environmental exposures and medical history to lung function trajectories is underexplored. A better understanding of these ...
It then shakes the claim otherwise made in IMF programmes that social spending will be protected, given the IMF programme ...
Objectives In patients with chronic obstructive pulmonary disease (COPD), severe exacerbations (ECOPDs) impose significant morbidity and mortality. Current guidelines emphasise using ECOPD history to ...
Objective To examine whether a multicomponent commercial fitness app with very small (‘micro’) financial incentives (FI) ...
Regression doesn't just impact individual players. It can affect the entire league. Welcome to Regression Alert, your weekly ...
Discover how behavioral modeling helps predict consumer actions using spending data, enabling businesses to refine targeting and enhance risk assessment.
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