Soil acidification is one of the pressing issues confronting global farmland today. Studies indicate that approximately 40% ...

Machine learning may help predict Fragile X-associated tremor syndrome earlier, enabling planning, monitoring, and timely ...

HFpEF in hypertrophic cardiomyopathy predicts adverse outcomes. Discover how machine learning improves risk assessment.

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.

A new review in Science China Life Sciences examines how machine learning and host-microbiome multi-omics can be combined to better understand health and disease. The article outlines the road from ...

The 2026 MLB season is showcasing how AI-driven analytics are influencing both on-field performance and off-field fan engagement. Advanced metrics like K-BB% are helping fantasy managers and teams ...

Florida's Indian River Lagoon has been an ecosystem in decline going back to 2011, when harmful algal blooms led to a severe ...

Machine learning and deep learning models are now widely used to classify disease cases, forecast outbreaks, and analyze epidemiological trends, often achieving high levels of accuracy in controlled ...

NASA’s TESS uncovers 11,554 exoplanet candidates in the T16 planet hunt, including more than 10,000 new ones around faint ...

AI is no longer just a tool for making music—it’s transforming how songs are created, marketed, and monetized. From ethical, artist-driven AI models to multimodal creative collaborations, the industry ...

Combining machine learning and feature selection, this research accurately predicts aluminum levels in marine environments, ...