Novel AI-powered method detects antimicrobial resistance wit

To mark World Antimicrobial Awareness Week, researchers supported by the Oxford Martin Programme on Antimicrobial Resistance Testing (University of Oxford) have reported advances towards a novel and rapid antimicrobial susceptibility test that can return results within as little as 30 minutes.

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, Achillefs Kapanidis , Aleksander Zagajewski , University Department Of Physics , Communications Biology , University Of Oxford , Nuffield Department Of Medicine , Oxford University Hospitals , Foundation Trust Department Of Microbiology , Oxford Martin Programme On Antimicrobial Resistance Testing , Nuffield Department Of Women Reproductive Health , Sir William Dunn School Of Pathology , Department Of Physics , Global Research On Antimicrobial Resistance , World Antimicrobial Awareness Week , Oxford Martin Programme , Antimicrobial Resistance Testing , Biological Physics , Global Research , Antimicrobial Resistance , Postdoctoral Researcher , Nuffield Department , Sir William Dunn School , Infectious Diseases , Antibiotic , Antibiotic Resistance , Artificial Intelligence , Bacteria , Fell , Chromosome , Luorescence , Fluorescence Microscopy , Medicine , Microscope , Icroscopy , Research ,