Models using established cardiovascular disease risk factors had satisfactory predictive performance for 5-year CVD risk in ...

Machine learning can help predict whether people newly diagnosed with MS will experience disability worsening that occurs ...

Depression is one of the most widespread mental health disorders worldwide, affecting approximately 4% of the global ...

MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data ...

When Arinze Nkemdirim Okere, PharmD, MBA, worked as the pharmacist for a hospital in Tallahassee, Florida, he noticed that ...

Some kids plan to kill. Can we discover who they are before they do? A program that combines neural and clinical data via ...

Creating pages only machines will see won’t improve AI search visibility. Data shows standard SEO fundamentals still drive AI ...

While demand planning accuracy currently hovers around 60%, DLA officials aim to push that baseline figure to 85% with the help of AI and ML tools. Improved forecasting will ensure the services have ...

Across the University of Pennsylvania Health System, scientists are now using AI to enhance their understanding of biological systems and modern medicine.

Features Black Duck’s Chief Product and Technology Officer Dipto Chakravarty on key topics like AI agents and quantum ...

Advancements in Building Energy Modeling This year’s Building Simulation conference really dug into how we can make ...