Artificial intelligence (AI) is emerging as a powerful tool to predict food consumption patterns and guide policy decisions, ...

Researchers conducted a systematic review to assess the risk of bias and applicability of prediction models for fear of recurrence in patients with cancer.

Analysis of the 191 samples shows that 55 percent of groundwater falls within low to no restriction categories for irrigation ...

Researchers have unveiled an interpretable, lightweight AI text detection framework using classical machine learning models that achieves near-perfect accuracy while lowering computational costs.

A new satellite-based analytical framework enables accurate estimation of crop sowing and emergence dates at the field scale. By integrating daily ...

Background Native aortic valve endocarditis continues to present significant operative challenges, often complicated by heart ...

Artificial intelligence is rapidly advancing geotechnical engineering by enabling more accurate soil behavior modeling, streamlining site investigations, and improving design safety. Recent ...

This study presents valuable findings by reanalyzing previously published MEG and ECoG datasets to challenge the predictive nature of pre-onset neural encoding effects. The evidence supporting the ...

As major news outlets cut off the Wayback Machine, journalists and advocacy groups are rallying to protect the Internet Archive’s vast collection of web pages. USA Today Co., the publishing ...