Fourteen-year-old Zeynep Demirbas tested four AI models on 3,553 Reddit posts to see how accurately they could detect stress.
Preeclampsia with severe features remains a dangerous threat during pregnancy—especially in low-resource settings like ...
Tracking animals in the wild has always been a game of hide-and-seek. Millions of years of evolution have made it ...
Exercise training is a cornerstone of cardiac rehabilitation (CR) for patients with coronary artery disease (CAD), and ...
A machine learning model can predict overactive bladder (OAB) risk in women using common reproductive and sociodemographic ...
Archaeological artifacts offer valuable insights into the history of past societies. They reveal not only technological ...
Routine water quality monitoring already generates large volumes of physicochemical data – turbidity, temperature, dissolved oxygen – but converting that into an early warning for microbial ...
Combining drone data and machine learning can help cover more ground in monitoring forest soil health, University of Alberta ...
New research from the University of Cambridge offers an easy and readily available solution using AI and satellite data. In a paper published in the journal Science of Remote Sensing, researchers used ...
The subcellular localization of mRNAs determines the spatial context of protein translation and plays a critical role in the precise regulation of protein function. However, existing computational ...
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