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

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.

Automated summary

Through whole-genome sequencing and machine-learning analysis, researchers discovered that recurrent infections are often caused by different strains and developed a personalized algorithm to reduce antimicrobial resistance at the individual-patient level.