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 ...

Quantum computing is no longer a distant research project—it’s steadily moving toward real-world capability. While large-scale, fault-tolerant quantum computers aren’t ...

This is where AI-augmented data quality engineering emerges. It shifts data quality from deterministic, Boolean checks to ...

Personal Perspective: "Normal" isn’t perfection but a statistical range based on population data. Diagnoses compare ...

Abstract: When distribution shifts occur between testing and training graph data, out-of-distribution (OOD) samples undermine the performance of graph neural networks (GNNs). To improve adaptive OOD ...

The historic government shutdown is over. We finally got a (late) jobs report. But it's going to take a long time for economic data to get back to normal. Investors and policymakers took a half-step ...

The normal distribution is a concept in statistics that assumes all values are distributed in the same pattern. It requires symmetry and consistent proportions in the distribution of values. Normal ...

The median is the middle number in a sorted ascending or descending list. It can be more descriptive of the dataset than the ...

Recent housing data has been volatile due to holiday timing and an AWS outage, affecting pending sales and inventory figures. While mortgage rates remain near 2025 lows, the data should be interpreted ...

News of an easing of U.S.-China trade tensions has not only added another leg up for the stock market but it's finally notably impacted an important indicator of market angst. The Cboe Volatility ...

CrowdStrike Holdings Inc.’s Enterprise Graph solution is the company’s latest defense against cyberattacks fueled by agentic artificial intelligence. The innovation is part of the company’s new ...