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Article Dans Une Revue Trends in Microbiology Année : 2022

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

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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.
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hal-03676002 , version 1 (22-07-2024)

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Marwan Osman, Rafael Mahieu, Matthieu Eveillard. Machine-learning approaches prevent post-treatment resistance-gaining bacterial recurrences. Trends in Microbiology, 2022, 30 (7), pp.612-614. ⟨10.1016/j.tim.2022.05.006⟩. ⟨hal-03676002⟩
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