Combining drone data and machine learning can help cover more ground in monitoring forest soil health, University of Alberta ...
Preeclampsia with severe features remains a dangerous threat during pregnancy—especially in low-resource settings like ...
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 ...
Archaeological artifacts offer valuable insights into the history of past societies. They reveal not only technological ...
NTT linked robotics and machine learning to speed deposition experiments about threefold and derive reusable growth rules for ...
Exercise training is a cornerstone of cardiac rehabilitation (CR) for patients with coronary artery disease (CAD), and ...
Edo-period "Ogame" ("large jars") became increasingly standardized over time, developing distinct shapes for everyday and ...
AI-designed membranes are delivering COâ‚‚ selectivity gains of up to 25% while cutting material development timelines by as ...
Across 11 annual U.S. surveys involving about 183,000 adults, higher social media use was consistently associated with ...
AI tools for predicting heart disease show potential but require further validation before clinical implementation, according to a systematic review.
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