AIMC Topic: Drug Resistance, Microbial
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Cross-sectoral synergy governance programme for antimicrobial resistance control in China using a 'One Health' approach: study protocol for a mixed-methods study.
BMJ open
Jul 30, 2025
INTRODUCTION: Antimicrobial resistance (AMR) is a critical global public health concern, particularly acute in rural China. Counties, which cover extensive rural regions, face major challenges in AMR governance and thus require priority attention. Ye...
Machine learning approaches for predicting antibiotic resistance genes abundance changes during biological nitrogen removal process.
Journal of environmental management
Jun 20, 2025
Wastewater treatment plants (WWTPs) serve as reservoirs for multiple antimicrobial agents (AAs), thereby promoting the risk of antibiotic resistance genes (ARGs) transmission in sewage and sludge during biological nitrogen removal (BNR) processes. An...
Similar Prophage Induction but Divergent Antibiotic Resistance Gene Occurrence: Leachates and Free Radicals Drive Differential Activation Mechanisms in Aged Tire Crumb Rubber.
Environmental science & technology
Jun 9, 2025
Indigenous phages play a key role in the spread of extracellular antibiotic resistance genes (eARGs), and micro/nanocontaminants can exacerbate this process. However, the specific roles and mechanisms of phage communities in this process are still no...
Synergistic effect of horizontal transfer of antibiotic resistance genes between bacteria exposed to microplastics and per/polyfluoroalkyl substances: An explanation from theoretical methods.
Journal of hazardous materials
Apr 8, 2025
Microplastics (MPs) and per/polyfluoroalkyl substances (PFASs), as emerging pollutants widely present in aquatic environments, pose a significant threat to human health through the horizontal gene transfer (HGT) of antibiotic resistance genes (ARGs)....
A framework predicting removal efficacy of antibiotic resistance genes during disinfection processes with machine learning.
Journal of hazardous materials
Apr 3, 2025
Disinfection has been applied widely for the removal of antibiotic resistance genes (ARGs) to curb the spread of antibiotic resistance. Quantitative polymerase chain reaction (qPCR) is the most used method to quantify the damage of DNA thus calculati...
Preliminary exploration of ChatGPT-4 shows the potential of generative artificial intelligence for culturally tailored, multilingual antimicrobial resistance awareness messaging.
American journal of veterinary research
Jan 29, 2025
OBJECTIVE: Antimicrobial resistance (AMR), a global threat driven by factors such as improper antimicrobial use in humans and animals, is projected to cause 10 million annual deaths by 2050. For behavior change, public health messages must be tailore...
Measuring water pollution effects on antimicrobial resistance through explainable artificial intelligence.
Environmental pollution (Barking, Essex : 1987)
Jan 7, 2025
Antimicrobial resistance refers to the ability of pathogens to develop resistance to drugs designed to eliminate them, making the infections they cause more difficult to treat and increasing the likelihood of disease diffusion and mortality. As such,...
Using genomic data and machine learning to predict antibiotic resistance: A tutorial paper.
PLoS computational biology
Dec 30, 2024
Antibiotic resistance is a global public health concern. Bacteria have evolved resistance to most antibiotics, which means that for any given bacterial infection, the bacteria may be resistant to one or several antibiotics. It has been suggested that...
Feasibility study of machine learning to explore relationships between antimicrobial resistance and microbial community structure in global wastewater treatment plant sludges.
Bioresource technology
Nov 26, 2024
Wastewater sludges (WSs) are major reservoirs and emission sources of antibiotic resistance genes (ARGs) in cities. Identifying antimicrobial resistance (AMR) host bacteria in WSs is crucial for understanding AMR formation and mitigating biological a...
Mining biology for antibiotic discovery.
PLoS biology
Nov 26, 2024
The rise of antibiotic resistance calls for innovative solutions. The realization that biology can be mined digitally using artificial intelligence has revealed a new paradigm for antibiotic discovery, offering hope in the fight against superbugs.
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