The Opioid Risk Tool for Opioid Use Disorder may help identify patients with chronic noncancer pain at increased risk for OUD ...
Read more about AI-driven learning analytics struggle to deliver measurable gains in higher education on Devdiscourse ...
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 ...
Lithium-ion batteries have become the quiet workhorses of the energy transition, but the way they are designed and tested has ...
DataZapp brings AI and machine learning to deliver affordable, predictive demand generation and marketing data for home ...
In an interview with Technology Networks, Dr. Daniel Reker discusses how machine learning is improving data-scarce areas of drug discovery.
Researchers claim model can cut years from testing cycles Scientists have developed a machine learning method that could ...
Machine learning algorithms that output human-readable equations and design rules are transforming how electrocatalysts for clean-energy reactions are screened, identified, and validated across ...
Researchers sought to determine an effective approach to predict postembolization fever in patients undergoing TACE.