While the potential benefits of AI in obesity prevention are substantial, the study devotes significant attention to ...

A research team has developed a low-cost, high-throughput phenotyping platform that continuously measures plant transpiration ...

The researchers also argue that explainable AI models are essential for ensuring fairness and accountability in policy design. In traditional statistical models, the relationships between variables ...

Understanding how ozone behaves indoors is vital for assessing human health risks, as people spend most of their time inside.

The researchers argue that their findings, published in Scientific Reports, could help clinicians anticipate which patients ...

This review systematically examines the integration of machine learning (ML) and artificial intelligence (AI) in nanomedicine ...

Overview: Predictive models turn historical data into reliable forecasts that support accurate planning across ...

Researchers identified distinct demographic, clinical, and serologic predictors of incident LVSD and cardiac recovery among patients with SSc.

Overview:  Python and Jupyter offer a simple, powerful setup for beginner-friendly data science learning. Real-world datasets ...

Eggs are more than just a breakfast staple – they’re a global nutritional powerhouse packed with essential vitamins, minerals ...

This potentially valuable cross-sectional longitudinal study leverages high-definition transcranial direct current stimulation to the left dorsolateral prefrontal cortex to examine its effect on ...

Heavy metals in soil are often measured in bulk, but those totals can badly overestimate the real risk to crops, ecosystems and human health ...