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Whole-genome sequencing reveals genotypic resistance in phenotypically susceptible Mycobacterium tuberculosis clinical isolates.

Zahra HasanSafina Abdul RazzakAkbar KanjiSadia ShakoorRumina Hasan
Published in: International journal of mycobacteriology (2023)
Our study highlights the value of WGS-based sequence data for identifying resistance in MTB. It also shows how MTB strains may be misclassified simply on phenotypic drug susceptibility testing, and that correct genome interpretation is key for correct interpretation of resistance genotypes that can be used to guide clinical treatment.
Keyphrases
  • mycobacterium tuberculosis
  • pulmonary tuberculosis
  • escherichia coli
  • emergency department
  • electronic health record
  • replacement therapy
  • deep learning