Current models of mortality risk after heart failure (HF) rely primarily on cardiac-specific clinical variables and may underestimate risk in elderly East Asian patients. Researchers from Japan used ...

Optimal NT-proBNP cut-off values increased progressively with advancing CKD: 694 pg/mL in Stage 3a, 1,452 pg/mL in Stage 3b, ...

Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk ...

Discover how to calculate covariance to assess stock relationships and optimize your portfolio, balancing risk and potential ...

Introduction Cerebral palsy (CP) is a non-progressive condition involving movement and muscle tone difficulties due to injury to the developing brain. Most cases arise around birth, but a smaller ...

Kalshi's prediction markets could be better than CPI surveys or tate decision forecasts, while Polymarket beats analysts on ...

To his credit, Kasy is a realist here. He doesn’t presume that any of these proposals will be easy to implement. Or that it will happen overnight, or even in the near future. The troubling question at ...

Trustworthy AI isn’t just about predicting the right outcome; it’s about knowing how confident we should actually be.

Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and ...

Department of Chemistry and Biochemistry, University of South Carolina, Columbia, United States ...

A team of UCSF researchers successfully tested several mainstream AI agents for the ability to analyze big data on women's ...

Why expert predictions often fail—and why forecasting is the wrong way to judge what real expertise actually delivers.