A new machine learning model built using a simple and interpretable approach predicts in-hospital death in patients with acute liver failure and reveals top risk drivers.

A study published in The Journal of Engineering Research at Sultan Qaboos University presents an advanced intrusion detection system (IDS) designed to improve the accuracy and efficiency of ...

AI is also being applied to improve construction scheduling and time management. Construction projects often involve numerous interconnected tasks, subcontractors, and logistical constraints. Delays ...

How people with compromised immune systems respond to vaccines is an important area of immunological research. A study led by York University has found that not only could machine-learning models ...

Rapid advances in artificial intelligence, machine learning, and data-driven computational modeling have opened unprecedented opportunities to transform ...

Chemical toxicity evaluation is vital in the medical, industrial, and agricultural sectors to ensure rigorous safety testing and to prevent harmful ...

This research initiative highlights the importance of ethical and explainable artificial intelligence in workforce ...

When an AI system in health care gives a confident answer, should clinicians trust it? In a new article from Frontiers in ...

A team of researchers in Geneva has developed an artificial intelligence system that analyses complex gene-expression ...

Statistical insights into machine learning analysis can help researchers evaluate model performance and may even provide new physical understanding.

Steven Weisberg, a researcher at The University of Texas at Arlington, put some of the most advanced artificial intelligence ...

Explore how clinical multi-omics integration drives systems medicine, detailing data fusion methodologies and lab ...