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. 2022 Jul;30(7):612-614.
doi: 10.1016/j.tim.2022.05.006. Epub 2022 May 19.

Machine-learning approaches prevent post-treatment resistance-gaining bacterial recurrences

Marwan Osman  1 , Rafael Mahieu  2 , Matthieu Eveillard  3
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Machine-learning approaches prevent post-treatment resistance-gaining bacterial recurrences

Marwan Osman et al. Trends Microbiol. 2022 Jul.

Abstract

Despite susceptibility testing, recurrent infections are common and are associated with resistance. Using whole-genome sequencing, Stracy et al. demonstrated that recurrence is often driven by a different strain than the original infection. By machine-learning analysis, they developed an algorithm for patient-specific recommendations to minimize antimicrobial resistance (AMR) at the individual-patient level.

Keywords: antimicrobial resistance; infection recurrences; machine-learning; whole-genome sequencing.

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