World-leading software that can both detect and predict antimicrobial resistance (AMR) in one of nature’s toughest and deadliest superbugs has been developed by a University of the Sunshine Coast-led research team. The work is published in the journal Genome Medicine. World-leading software that can both detect and predict antimicrobial resistance (AMR) in one of nature’s toughest and deadliest superbugs has been developed by a University of the Sunshine Coast-led research team. The work is published in the journal Genome Medicine. Cell & Microbiology Molecular & Computational biology Phys.org – latest science and technology news stories
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