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 ...

Waiting for alerts is obsolete — predictive engineering lets cloud systems see trouble coming and fix it before users ever ...

Abstract: A sequential pseudospectral model predictive control (SPMPC) method is proposed for nonlinear optimal midcourse guidance with a general performance index. First, the optimal midcourse ...

Software-defined vehicles require new frameworks as automakers shift from hardware-focused to software-centric development ...

A machine learning model incorporating functional assessments predicts one-year mortality in older patients with HF and improves risk stratification beyond established scores. Functional status at ...

Background Early graft failure within 90 postoperative days is the leading cause of mortality after heart transplantation. Existing risk scores, based on linear regression, often struggle to capture ...

Safety Leadership, Worker Behaviour, Safety Performance, Integrative Model, Ghanaian Construction Industry Share and Cite: ...

Small caps lagged large caps for years—can 2026 be their breakout? See how yield curve steepening, looser conditions, and tight spreads matter—read now.

Background Mechanical compression from the ascending aorta on the left atrial anterior wall (LAAW) can cause low voltage ...

Traditional Showrooms VS. Digital Technology Technology alone is not enough — it’s technology married with the ...

Objectives This study examined discharge outcomes and their predictors among patients enrolled in remote patient monitoring (RPM) support in Ontario, Canada. Design A 6-month competing risk survival ...

Post-2020, highly pathogenic avian influenza H5 circulation is characterised by spatially expanded ecological suitability, changes in key environmental predictors, and a wider range of avian species ...