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 …

Drug-resistant tuberculosis: a persistent global health concern

M Farhat, H Cox, M Ghanem, CM Denkinger… - Nature Reviews …, 2024 - nature.com
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 …

Accelerating antibiotic discovery through artificial intelligence

MCR Melo, JRMA Maasch… - Communications …, 2021 - nature.com
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 …

Machine learning for antimicrobial resistance prediction: current practice, limitations, and clinical perspective

JI Kim, F Maguire, KK Tsang, T Gouliouris… - Clinical microbiology …, 2022 - journals.asm.org
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 …

Machine learning and applications in microbiology

SJ Goodswen, JLN Barratt, PJ Kennedy… - FEMS microbiology …, 2021 - academic.oup.com
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 …

Innovative and rapid antimicrobial susceptibility testing systems

A van Belkum, CAD Burnham, JWA Rossen… - Nature Reviews …, 2020 - nature.com
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 …

Prediction of antimicrobial resistance based on whole-genome sequencing and machine learning

Y Ren, T Chakraborty, S Doijad, L Falgenhauer… - …, 2022 - academic.oup.com
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 …

Genome-based prediction of bacterial antibiotic resistance

M Su, SW Satola, TD Read - Journal of clinical microbiology, 2019 - journals.asm.org
Clinical microbiology has long relied on growing bacteria in culture to determine
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

S He, LG Leanse, Y Feng - Advanced Drug Delivery Reviews, 2021 - Elsevier
In the era of antimicrobial resistance, the prevalence of multidrug-resistant microorganisms
that resist conventional antibiotic treatment has steadily increased. Thus, it is now …

Whole genome sequencing of Mycobacterium tuberculosis: current standards and open issues

CJ Meehan, GA Goig, TA Kohl, L Verboven… - NATURE reviews …, 2019 - nature.com
Whole genome sequencing (WGS) of Mycobacterium tuberculosis has rapidly progressed
from a research tool to a clinical application for the diagnosis and management of …