Combining drone data and machine learning can help cover more ground in monitoring forest soil health, University of Alberta ...

Exercise training is a cornerstone of cardiac rehabilitation (CR) for patients with coronary artery disease (CAD), and ...

Fourteen-year-old Zeynep Demirbas tested four AI models on 3,553 Reddit posts to see how accurately they could detect stress.

A machine learning model can predict overactive bladder (OAB) risk in women using common reproductive and sociodemographic ...

Preeclampsia with severe features remains a dangerous threat during pregnancy—especially in low-resource settings like ...

Archaeological artifacts offer valuable insights into the history of past societies. They reveal not only technological ...

Across 11 annual U.S. surveys involving about 183,000 adults, higher social media use was consistently associated with ...

Edo-period "Ogame" ("large jars") became increasingly standardized over time, developing distinct shapes for everyday and ...

Tracking animals in the wild has always been a game of hide-and-seek. Millions of years of evolution have made it ...

"Machine Learning Techniques for Electricity Theft Detection in Smart Grids: A Comprehensive Review," published in Energies ...

AI tools for predicting heart disease show potential but require further validation before clinical implementation, according to a systematic review.