The use of Online Tools for Antimicrobial Resistance Prediction by Whole Genome Sequencing in MRSA and VRE.
Sign Up to like & getrecommendations! Published in 2019 at "Journal of global antimicrobial resistance"
DOI: 10.1016/j.jgar.2019.04.006
Abstract: OBJECTIVES The antimicrobial resistance (AMR) crisis represents a serious threat to public health and has resulted in concentrated efforts to accelerate development of rapid molecular diagnostics for AMR. In combination with publicly-available web-based AMR databases,… read more here.
Keywords: whole genome; resistance prediction; antimicrobial resistance; resistance ... See more keywords
On the use of Artificial Neural Networks for the calm water resistance prediction of MARAD Systematic Series’ hullforms
Sign Up to like & getrecommendations! Published in 2018 at "Ocean Engineering"
DOI: 10.1016/j.oceaneng.2018.07.035
Abstract: Abstract The present study investigates the use of Artificial Neural Networks (ANNs) for the resistance prediction of hullforms designed according to the MARAD Systematic Series. This series comprises 16 full hullforms, specifically designed for use… read more here.
Keywords: resistance prediction; neural networks; use artificial; series ... See more keywords
Drug resistance prediction and resistance genes identification in Mycobacterium tuberculosis based on a hierarchical attentive neural network utilizing genome-wide variants
Sign Up to like & getrecommendations! Published in 2022 at "Briefings in bioinformatics"
DOI: 10.1093/bib/bbac041
Abstract: Prediction of antimicrobial resistance based on whole-genome sequencing data has attracted greater attention due to its rapidity and convenience. Numerous machine learning-based studies have used genetic variants to predict drug resistance in Mycobacterium tuberculosis (MTB),… read more here.
Keywords: mycobacterium tuberculosis; resistance prediction; resistance; drug resistance ... See more keywords
Genomics of antibiotic‐resistance prediction in Pseudomonas aeruginosa
Sign Up to like & getrecommendations! Published in 2019 at "Annals of the New York Academy of Sciences"
DOI: 10.1111/nyas.13358
Abstract: Antibiotic resistance is a worldwide health issue spreading quickly among human and animal pathogens, as well as environmental bacteria. Misuse of antibiotics has an impact on the selection of resistant bacteria, thus contributing to an… read more here.
Keywords: pseudomonas aeruginosa; resistance prediction; resistance; antibiotic resistance ... See more keywords
Comparative Genomics of Bacteroides fragilis Group Isolates Reveals Species-Dependent Resistance Mechanisms and Validates Clinical Tools for Resistance Prediction
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DOI: 10.1128/mbio.03603-21
Abstract: Anaerobic infections present unique challenges in terms of detecting and identifying the etiologic agent and selecting the optimal antimicrobial therapy. Antimicrobial resistance is increasing in anaerobic pathogens, and it is critical to understand the prevalence… read more here.
Keywords: resistance; fragilis group; species level; resistance prediction ... See more keywords