AIMC Topic: Listeriosis

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ListPred: A predictive ML tool for virulence potential and disinfectant tolerance in Listeria monocytogenes.

Infection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases Mar 18, 2025
Despite current surveillance and sanitation strategies, foodborne pathogens continue to threaten the food industry and public health. Whole genome sequencing (WGS) has reached an unprecedented resolution to analyse and compare pathogenic bacterial is...
Humans Machine Learning Drug Resistance, Bacterial Computational Biology Listeria monocytogenes Whole Genome Sequencing Virulence Disinfectants Genome, Bacterial Listeriosis
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Accurate classification of Listeria species by MALDI-TOF mass spectrometry incorporating denoising autoencoder and machine learning.

Journal of microbiological methods Nov 21, 2021
Listeria monocytogenes belongs to the category of facultative anaerobic bacteria, and is the pathogen of listeriosis, potentially lethal disease for humans. There are many similarities between L. monocytogenes and other non-pathogenic Listeria specie...
Humans Machine Learning Algorithms Food Microbiology Listeria monocytogenes Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization Food Safety Listeriosis
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Machine Learning Methods as a Tool for Predicting Risk of Illness Applying Next-Generation Sequencing Data.

Risk analysis : an official publication of the Society for Risk Analysis Nov 21, 2018
Next-generation sequencing (NGS) data present an untapped potential to improve microbial risk assessment (MRA) through increased specificity and redefinition of the hazard. Most of the MRA models do not account for differences in survivability and vi...
Humans Machine Learning Algorithms Phenotype Sensitivity and Specificity Risk Assessment Databases, Genetic Food Microbiology Foodborne Diseases Listeria monocytogenes Virulence Genetic Variation High-Throughput Nucleotide Sequencing Probability Linear Models Food Listeriosis
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