Mosaic theory is an analysis method used in finance to gather diverse information about companies. Discover its components and how it can guide investment decisions.

Background Patients with heart failure (HF) and severe mitral regurgitation (MR) have poor outcomes. Early identification ...

Heart failure (HF) is a chronic and progressive cardiovascular condition associated with significant morbidity, mortality and ...

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 ...

Abstract: Traditional failure analysis methods, such as failure modes and effects analysis (FMEA), focus on preventing foreseeable failures but often overlook hidden, emergent, or deliberately induced ...

Background Reducing hospitalisations in heart failure (HF) requires organisational models for rapid optimisation, education and structured follow-up. Evidence on complex programmes in outermost or ...

A new study has issued one of the starkest warnings yet about the reliability of AI alignment research. The authors argue that the world’s leading technical safety mechanisms may be far less ...

The evidence supporting beta-blocker therapy after myocardial infarction was established before the introduction of modern coronary reperfusion therapy and secondary prevention strategies. In an ...

SGLT2 (sodium-glucose cotransporter-2) inhibitors reduce the risk of cardiovascular death or worsening heart failure (HF) in outpatients with HF. Data on initiation in patients hospitalized for HF are ...