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