AIMC Topic: Campylobacter
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Machine learning to attribute the source of Campylobacter infections in the United States: A retrospective analysis of national surveillance data.
The Journal of infection
Sep 7, 2024
OBJECTIVES: Integrating pathogen genomic surveillance with bioinformatics can enhance public health responses by identifying risk and guiding interventions. This study focusses on the two predominant Campylobacter species, which are commonly found in...
A machine learning approach for rapid early detection of Campylobacter spp. using absorbance spectra collected from enrichment cultures.
PloS one
Sep 6, 2024
Enumeration of Campylobacter from environmental waters can be difficult due to its low concentrations, which can still pose a significant health risk. Spectrophotometry is an approach commonly used for fast detection of water-borne pollutants in wate...
Integrating MALDI-TOF Mass Spectrometry with Machine Learning Techniques for Rapid Antimicrobial Resistance Screening of Foodborne Bacterial Pathogens.
Methods in molecular biology (Clifton, N.J.)
Jan 1, 2025
Although MALDI-TOF mass spectrometry (MS) is considered as the gold standard for rapid and cost-effective identification of microorganisms in routine laboratory practices, its capability for antimicrobial resistance (AMR) detection has received limit...
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