Linear regression is one of the simplest and most useful tools for analyzing data. It helps you find the relationship between variables so you can make predictions and understand patterns. In this ...

A research team shows that phenomic prediction, which integrates full multispectral and thermal information rather than ...

By training statistical and machine-learning models to predict expert visual scores, the study demonstrates that phenomics can match or outperform ...

The strong role of socioeconomic factors underscores the limits of purely spatial or technical solutions. While predictive models can identify where risk concentrates, addressing why it does so ...

Many companies haven't seen earnings contributions from their generative AI initiatives so far. However, agentic AI should be a transformative technology that boosts profitability significantly.

Prediction markets are quickly shifting from a niche sideline to an emerging asset class, with monthly volumes around $10 billion, said U.S. bank Citizens. Though tiny next to the more than $10 ...

The issue: Many runners (particularly women) report that their fitness trackers tell them they’re exercising in a higher zone ...

In a recent study, people with osteoporosis had higher levels of alkaline phosphatase (ALP) in their blood compared to patients who didn’t have osteoporosis. The link was strongest in young women with ...

The GC–MS dataset was integrated with the sensory data using a series of exploratory and predictive multivariate statistical ...

Background Malnutrition influences prognosis in patients with heart failure, but current nutritional evaluation methods are ...

Introduction Application of artificial intelligence (AI) tools in the healthcare setting gains importance especially in the domain of disease diagnosis. Numerous studies have tried to explore AI in ...