AIMC Topic: Drug Resistance, Microbial
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Molecular mechanisms of antibiotic co-resistance among carbapenem resistant Acinetobacter baumannii.
Journal of infection in developing countries
Oct 31, 2019
INTRODUCTION: The spread of carbapenem-resistant Acinetobacter baumannii (CRAB) is difficult to control especially in the hospitals due to the successful mobilization and evolution of the genetic elements harboring the resistant determinants. The stu...
Antibiotic resistance and metabolic profiles as functional biomarkers that accurately predict the geographic origin of city metagenomics samples.
Biology direct
Aug 20, 2019
BACKGROUND: The availability of hundreds of city microbiome profiles allows the development of increasingly accurate predictors of the origin of a sample based on its microbiota composition. Typical microbiome studies involve the analysis of bacteria...
Hierarchical Hidden Markov models enable accurate and diverse detection of antimicrobial resistance sequences.
Communications biology
Aug 6, 2019
The characterization of antimicrobial resistance genes from high-throughput sequencing data has become foundational in public health research and regulation. This requires mapping sequence reads to databases of known antimicrobial resistance genes to...
Tracking antibiotic resistance gene pollution from different sources using machine-learning classification.
Microbiome
May 24, 2018
BACKGROUND: Antimicrobial resistance (AMR) has been a worldwide public health concern. Current widespread AMR pollution has posed a big challenge in accurately disentangling source-sink relationship, which has been further confounded by point and non...
Supervised learning for infection risk inference using pathology data.
BMC medical informatics and decision making
Dec 8, 2017
BACKGROUND: Antimicrobial Resistance is threatening our ability to treat common infectious diseases and overuse of antimicrobials to treat human infections in hospitals is accelerating this process. Clinical Decision Support Systems (CDSSs) have been...
Harnessing advances in mechanisms, detection, and strategies to combat antimicrobial resistance.
The Science of the total environment
Jun 20, 2025
Antimicrobial resistance (AMR) is a growing global health crisis, threatening the effectiveness of antibiotics and other antimicrobial agents, leading to increased morbidity, mortality, and economic burdens. This review article provides a comprehensi...
Disc Diffusion Reader: an AI-powered potential solution to combat antibiotic resistance in developing countries.
Journal of infection in developing countries
May 31, 2025
INTRODUCTION: Antimicrobial resistance (AMR) is a global health challenge, and antimicrobial susceptibility testing (AST) is vital for guiding treatment. Although widely used, the Kirby-Bauer method depends on skilled interpretation, which can be tim...
argNorm: normalization of antibiotic resistance gene annotations to the Antibiotic Resistance Ontology (ARO).
Bioinformatics (Oxford, England)
May 6, 2025
SUMMARY: Currently available and frequently used tools for annotating antibiotic resistance genes (ARGs) in genomes and metagenomes provide results using inconsistent nomenclature. This makes the comparison of different ARG annotation outputs challen...
Strategies in using artificial intelligence to combat antimicrobial resistance.
Recenti progressi in medicina
Mar 1, 2025
Infectious diseases caused by pathogens resistant to antimicrobial treatments, defined as antimicrobial resistance (AMR), are a serious global health crisis, considered among the main threats to global public health according to the World Health Orga...
Applications of Machine Learning on Electronic Health Record Data to Combat Antibiotic Resistance.
The Journal of infectious diseases
Nov 15, 2024
There is growing excitement about the clinical use of artificial intelligence and machine learning (ML) technologies. Advancements in computing and the accessibility of ML frameworks enable researchers to easily train predictive models using electron...
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