Researchers at City of Hope and Translational Genomics Research Institute (TGen) have developed and tested an innovative machine-learning approach that could one day enable the earlier detection of ...
Dedeepya Yarra's interdisciplinary research interest is the intersection of machine-learning research and cybersecurity, ...
Using infrared light and machine learning, researchers have developed a method to effectively screen human health and its deviations at a population level. Envision a scenario where a single drop of ...
WASHINGTON--(BUSINESS WIRE)--CorVista Health, Inc., a leading digital health company dedicated to improving cardiovascular disease diagnosis, is pleased to announce the presentation of Machine ...
It would be greatly beneficial to physicians trying to save lives in intensive care units if they could be alerted when a patient's condition rapidly deteriorates or shows vitals in highly abnormal ...
On January 1, 2008, at 1:59 am in Calipatria, California, an earthquake happened. You haven’t heard of this earthquake; even if you had been living in Calipatria, you wouldn’t have felt anything. It ...
Researchers have developed a new method for detecting defects in additively manufactured components. Researchers at the University of Illinois Urbana-Champaign have developed a new method for ...
The factories that process our food and beverages (newsflash: no, it doesn’t come straight from a farm) have to be kept very clean, or we’d all get very ill, to be blunt. Ensuring that usually entails ...
Preeclampsia with severe features remains a dangerous threat during pregnancy—especially in low-resource settings like ...
New outdoor gunshot detection sensor developed using machine-learning techniques and combining acoustic and infrared sensing for advanced accuracy and earlier threat awareness SDS Perimeter combines ...
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