首页|University of Calgary Reports Findings in Machine Learning (A novel machine-lear ning aided platform for rapid detection of urine ESBLs and carbapenemases: URECA -LAMP)
University of Calgary Reports Findings in Machine Learning (A novel machine-lear ning aided platform for rapid detection of urine ESBLs and carbapenemases: URECA -LAMP)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Machine Learning is th e subject of a report. According to news originating from Calgary, Canada, by Ne wsRx correspondents, research stated, “Pathogenic gram-negative bacteria frequen tly carry genes encoding extended-spectrum beta-lactamases (ESBL) and/or carbape nemases. Of great concern are carbapenem resistant , and.” Financial support for this research came from Canadian Government | Canadian Ins titutes of Health Research.
CalgaryCanadaNorth and Central Ameri caCyborgsEmerging TechnologiesMachine Learning
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