Dr. James McCaffrey presents a complete end-to-end demonstration of the kernel ridge regression technique to predict a single ...

Joseph Alderman et al argue that predictive models in healthcare lack adequate oversight and regulation. They highlight the ...

Warmer weather and longer days increase Salmonella infections, linking climate, humidity, and food safety risks.

Objectives The development of simple tools to identify individuals at high risk of coronary heart disease (CHD) would enable rapid implementation of preventive measures. This study was designed to ...

Objectives Systemic lupus erythematosus (SLE) is a chronic autoimmune disease characterised by multiorgan involvement.

None of the most widely used large language models (LLMs) that are rapidly upending how humanity is acquiring knowledge has ...

RiskRubric provides a six-pillar framework to quantify AI model risk, guiding secure, compliant adoption with evidence-based ...

The launch marks a shift from opaque measurement to open accountability — giving all marketers the tools needed to interrogate any model, vendor-built ...

For banks, asset managers, fintechs, and regulators alike, the message is clear: in a chaotic world order, the future will ...

Health care leaders may want to keep a closer eye on clinical validation for artificial intelligence (AI)-enabled medical devices (AIMDs), based on a recent JAMA Health Forum study.

Accurate measurement of time-varying systematic risk exposures is essential for robust financial risk management.

ORNL patented a new validation method using entropy for advanced nuclear reactor testing, promising to shorten licensing ...