The AI-VaR framework seeks to fill this gap by offering a structured way to quantify risk in monetary terms, making it easier ...

Objective To develop and validate a novel risk prediction model for incident major adverse liver outcomes (MALO) in a primary care setting. Design Population based cohort study. Setting Sweden, with ...

Suzanne is a content marketer, writer, and fact-checker. She holds a Bachelor of Science in Finance degree from Bridgewater State University and helps develop content strategies. Learn about our ...

Maria Polyakova ([email protected]) is an assistant professor of health research and policy at the Stanford University School of Medicine, in California, and a faculty research fellow at the National ...

Learn how to calculate hazard rate, its practical implications in engineering and finance, and why it's critical in ...

The Asian Development Bank (ADB) has hired Samantha Cook from the World Bank, who brings deep experience in disaster risk ...

Arbol, a technology-led underwriter of parametric risk transfer, climate and weather insurance or reinsurance business, has ...

And yet, platform dependency isn’t binary — it exists on a spectrum.

The rise of agentic AI—systems that reason, act autonomously and communicate with other agents—increases the need for ...

Discover how LAVImin measured by cardiac MRI outperformed traditional risk factors in predicting adverse outcomes after heart ...

The conversation shifts toward how value-based payment models might apply to atrial fibrillation care, drawing comparisons to existing bundled payment programs for coronary artery disease and heart ...

A scientific statement has been published by the AHA and ACC regarding using risk assessment for BP management for prevention of CVD.