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The resistance mechanisms of bacteria against ciprofloxacin and new approaches for enhancing the efficacy of this antibiotic
A Shariati, M Arshadi, MA Khosrojerdi… - Frontiers in public …, 2022 - frontiersin.org
For around three decades, the fluoroquinolone (FQ) antibiotic ciprofloxacin has been used
to treat a range of diseases, including chronic otorrhea, endocarditis, lower respiratory tract …
to treat a range of diseases, including chronic otorrhea, endocarditis, lower respiratory tract …
Drug-resistant tuberculosis: a persistent global health concern
Drug-resistant tuberculosis (TB) is estimated to cause 13% of all antimicrobial resistance-
attributable deaths worldwide and is driven by both ongoing resistance acquisition and …
attributable deaths worldwide and is driven by both ongoing resistance acquisition and …
Accelerating antibiotic discovery through artificial intelligence
By targeting invasive organisms, antibiotics insert themselves into the ancient struggle of the
host-pathogen evolutionary arms race. As pathogens evolve tactics for evading antibiotics …
host-pathogen evolutionary arms race. As pathogens evolve tactics for evading antibiotics …
Machine learning for antimicrobial resistance prediction: current practice, limitations, and clinical perspective
Antimicrobial resistance (AMR) is a global health crisis that poses a great threat to modern
medicine. Effective prevention strategies are urgently required to slow the emergence and …
medicine. Effective prevention strategies are urgently required to slow the emergence and …
Machine learning and applications in microbiology
To understand the intricacies of microorganisms at the molecular level requires making
sense of copious volumes of data such that it may now be humanly impossible to detect …
sense of copious volumes of data such that it may now be humanly impossible to detect …
Innovative and rapid antimicrobial susceptibility testing systems
Antimicrobial resistance (AMR) is a major threat to human health worldwide, and the rapid
detection and quantification of resistance, combined with antimicrobial stewardship, are key …
detection and quantification of resistance, combined with antimicrobial stewardship, are key …
Prediction of antimicrobial resistance based on whole-genome sequencing and machine learning
Motivation Antimicrobial resistance (AMR) is one of the biggest global problems threatening
human and animal health. Rapid and accurate AMR diagnostic methods are thus very …
human and animal health. Rapid and accurate AMR diagnostic methods are thus very …
Genome-based prediction of bacterial antibiotic resistance
Clinical microbiology has long relied on growing bacteria in culture to determine
antimicrobial susceptibility profiles, but the use of whole-genome sequencing for antibiotic …
antimicrobial susceptibility profiles, but the use of whole-genome sequencing for antibiotic …
Artificial intelligence and machine learning assisted drug delivery for effective treatment of infectious diseases
In the era of antimicrobial resistance, the prevalence of multidrug-resistant microorganisms
that resist conventional antibiotic treatment has steadily increased. Thus, it is now …
that resist conventional antibiotic treatment has steadily increased. Thus, it is now …
Whole genome sequencing of Mycobacterium tuberculosis: current standards and open issues
Whole genome sequencing (WGS) of Mycobacterium tuberculosis has rapidly progressed
from a research tool to a clinical application for the diagnosis and management of …
from a research tool to a clinical application for the diagnosis and management of …