Predictive Oncology Inc. announced the successful development of predictive models for 21 unique compounds sourced from the University of Michigan's Natural Products Discovery Core, marking a ...

Both machine learning and deep learning AI models show significant improvements over existing clinical criteria of food allergy diagnostics, according to new research being presented at the 2026 AAAAI ...

In an interview with Technology Networks, Dr. Daniel Reker discusses how machine learning is improving data-scarce areas of drug discovery.

Benchmarking clinical reasoning and accuracy of large language models on breast oncology multiple-choice questions.

Read more about AI-driven learning analytics struggle to deliver measurable gains in higher education on Devdiscourse ...

The Opioid Risk Tool for Opioid Use Disorder may help identify patients with chronic noncancer pain at increased risk for OUD ...

A recent study published in Scientific Reports highlights the potential of PyCaret, an automated machine learning (ML) ...

Lithium-ion batteries have become the quiet workhorses of the energy transition, but the way they are designed and tested has ...

The authors analyze the interest rate risk in the banking book regulations, arguing that financial institutions must develop robust models for forecasting ...