AIMC Topic: Drug Resistance, Microbial
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Occurrence and Distribution of Antibacterial Quaternary Ammonium Compounds in Chinese Estuaries Revealed by Machine Learning-Assisted Mass Spectrometric Analysis.
Environmental science & technology
Jun 13, 2024
Antimicrobial resistance (AMR) undermines the United Nations Sustainable Development Goals of good health and well-being. Antibiotics are known to exacerbate AMR, but nonantibiotic antimicrobials, such as quaternary ammonium compounds (QACs), are now...
ARGNet: using deep neural networks for robust identification and classification of antibiotic resistance genes from sequences.
Microbiome
May 9, 2024
BACKGROUND: Emergence of antibiotic resistance in bacteria is an important threat to global health. Antibiotic resistance genes (ARGs) are some of the key components to define bacterial resistance and their spread in different environments. Identific...
Application of machine learning for antibiotic resistance in water and wastewater: A systematic review.
Chemosphere
May 2, 2024
Antibiotic resistance (AR) is considered one of the greatest global threats in the current century, which can only be overcome if all interconnected areas of humans, animals and the environment are taken into account as part of the One Health concept...
Deciphering and predicting changes in antibiotic resistance genes during pig manure aerobic composting via machine learning model.
Environmental science and pollution research international
Apr 30, 2024
Livestock manure is one of the most important pools of antibiotic resistance genes (ARGs) in the environment. Aerobic composting can effectively reduce the spread of antibiotic resistance risk in livestock manure. Understanding the effect of aerobic ...
Characterising global antimicrobial resistance research explains why One Health solutions are slow in development: An application of AI-based gap analysis.
Environment international
Apr 20, 2024
The global health crisis posed by increasing antimicrobial resistance (AMR) implicitly requires solutions based a One Health approach, yet multisectoral, multidisciplinary research on AMR is rare and huge knowledge gaps exist to guide integrated acti...
Deciphering complex antibiotic resistance patterns in through whole genome sequencing and machine learning.
Frontiers in cellular and infection microbiology
Jan 4, 2024
INTRODUCTION: Helicobacter pylori (H.pylori, Hp) affects billions of people worldwide. However, the emerging resistance of Hp to antibiotics challenges the effectiveness of current treatments. Investigating the genotype-phenotype connection for Hp us...
Pregnancy-associated asymptomatic bacteriuria and antibiotic resistance in the Maternity and Children's Hospital, Arar, Saudi Arabia.
Journal of infection in developing countries
Dec 31, 2023
INTRODUCTION: The Ministry of Health in Saudi Arabia provides comprehensive antenatal care for all pregnant women with all required investigations. However, it does not include urine culture for diagnosis of asymptomatic bacteriuria (ASB). This is th...
Addressing antibiotic resistance: computational answers to a biological problem?
Current opinion in microbiology
Apr 7, 2023
The increasing prevalence of infections caused by antibiotic-resistant bacteria is a global healthcare crisis. Understanding the spread of resistance is predicated on the surveillance of antibiotic resistance genes within an environment. Bioinformati...
Researchers turn to tiny robots to fight antibiotic resistance.
Proceedings of the National Academy of Sciences of the United States of America
Feb 9, 2023
Prediction and interpretation of antibiotic-resistance genes occurrence at recreational beaches using machine learning models.
Journal of environmental management
Dec 7, 2022
Antibiotic-resistant bacteria and antibiotic resistance genes (ARGs) are pollutants of worldwide concern that seriously threaten public health and ecosystems. Machine learning (ML) prediction models have been applied to predict ARGs in beach waters. ...
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