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Oxford-Led Study Demonstrates AI's Ability to Detect Antibiotic Resistance in Just 30 Minutes – India Education | Latest Education News | Global Educational News

In their study published in Communications Biology, the team used a combination of fluorescence microscopy and artificial intelligence (AI) to detect antimicrobial resistance (AMR). This method relies on training deep-learning models to analyse bacte ....

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Novel AI-powered method detects antimicrobial resistance within 30 minutes

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. ....

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 Resistance , Antimicrobial Resistance , Artificial Intelligence ,

Study shows how AI can detect antibiotic resistance in as little as 30 minutes

Study shows how AI can detect antibiotic resistance in as little as 30 minutes
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