Scalable de novo classification of antibiotic resistance of Mycobacterium tuberculosis.

Journal: Bioinformatics (Oxford, England)
Published Date: Jun 28, 2024

Abstract

MOTIVATION: World Health Organization estimates that there were over 10 million cases of tuberculosis (TB) worldwide in 2019, resulting in over 1.4 million deaths, with a worrisome increasing trend yearly. The disease is caused by Mycobacterium tuberculosis (MTB) through airborne transmission. Treatment of TB is estimated to be 85% successful, however, this drops to 57% if MTB exhibits multiple antimicrobial resistance (AMR), for which fewer treatment options are available.

Authors

  • Mohammadali Serajian
    Department of Computer and Information Science and Engineering, University of Florida, 1889 Museum Road, Gainesville, Florida 32611, United States.
  • Simone Marini
    Department of Electrical, Computer and Biomedical Engineering, University of Pavia, Via Ferrata 1, 27100, Pavia, Italy. simone.marini@unipv.it.
  • Jarno N Alanko
    Department of Computer Science, University of Helsinki, P.O. Box 4, Helsinki 00014, Finland.
  • Noelle R Noyes
    3Department of Veterinary Population Medicine, University of Minnesota, St. Paul, MN 55108 USA.
  • Mattia Prosperi
    University of Florida, Gainesville, Florida, USA.
  • Christina Boucher
    Department of Computer and Information Science and Engineering, University of Florida, Gainesville, FL, United States.

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