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Corynebacterium diphtheriae and Corynebacterium ulcerans: development of EUCAST methods and generation of data on which to determine breakpoints.

Anja BergerEdgar BadellJenny ÅhmanErika MatuschekNora ZidaneGunnar KahlmeterAndreas SingSylvain Brisse
Published in: The Journal of antimicrobial chemotherapy (2024)
This work provided a large set of antimicrobial susceptibility data for C. diphtheriae and C. ulcerans, using a harmonized methodology. The dataset allowed EUCAST and experts in the diphtheria field to develop evidence-based breakpoints in January 2023.
Keyphrases
  • electronic health record
  • big data
  • artificial intelligence
  • deep learning