Risk prediction has been used in the primary prevention of cardiovascular disease for >3 decades. Contemporary cardiovascular risk assessment relies on multivariable models, which integrate ...

AI agents can handle physics-based modeling complexity while engineers focus on design judgment and tradeoffs.

Chromosomes are masters of organization. These long strings of DNA fold down into an ensemble of compact structures that keep needed parts of the genome accessible while tucking away those that aren't ...

Statistical models predict stock trends using historical data and mathematical equations. Common statistical models include regression, time series, and risk assessment tools. Effective use depends on ...

This paper introduces the Israeli Structural Model (ISM), a New-Keynesian Dynamic Stochastic General Equilibrium (DSGE) model tailored to reflect key characteristics of the Israeli economy. The ISM ...

R Symons Electric Vehicles, a U.K.-based electric vehicle dealer, drove two nearly identical Tesla Model 3s 200 miles for a range and efficiency test. Despite one car having 225,000 miles, it was just ...

Abstract: Recent advancements in image denoising algorithms have significantly improved visual performance. However, they also introduce new challenges for image quality assessment (IQA) indicators to ...

Cardiovascular-kidney-metabolic (CKM) syndrome is a novel construct recently defined by the American Heart Association in response to the high prevalence of metabolic and kidney disease.

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