AIMC Topic: Shiga-Toxigenic Escherichia coli

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Machine learning models for prediction of Escherichia coli O157:H7 growth in raw ground beef at different storage temperatures.

Meat science Dec 30, 2023
Shiga toxin-producing Escherichia coli (STEC) can be life-threatening and lead to major outbreaks. The prevention of STEC-related infections can be provided by control measures at all stages of the food chain. The growth performance of E. coli O157:H...
Temperature Animals Cattle Food Contamination Food Microbiology Escherichia coli O157 Meat Products Colony Count, Microbial Shiga-Toxigenic Escherichia coli
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Identifying non-O157 Shiga toxin-producing Escherichia coli (STEC) using deep learning methods with hyperspectral microscope images.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy Jul 16, 2019
Non-O157 Shiga toxin-producing Escherichia coli (STEC) serogroups such as O26, O45, O103, O111, O121 and O145 often cause illness to people in the United States and the conventional identification of these "Big-Six" are complex. The label-free hypers...
Humans Algorithms Deep Learning Image Processing, Computer-Assisted Food Microbiology Foodborne Diseases Principal Component Analysis Shiga-Toxigenic Escherichia coli Microscopy Optical Imaging Bacterial Typing Techniques
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Pathogenic potential assessment of the Shiga toxin-producing by a source attribution-considered machine learning model.

Proceedings of the National Academy of Sciences of the United States of America May 18, 2021
Instead of conventional serotyping and virulence gene combination methods, methods have been developed to evaluate the pathogenic potential of newly emerging pathogens. Among them, the machine learning (ML)-based method using whole-genome sequencing ...
Humans Machine Learning Reproducibility of Results ROC Curve Support Vector Machine Escherichia coli Infections Whole Genome Sequencing Virulence Shiga-Toxigenic Escherichia coli Escherichia coli Proteins Shiga Toxin 2
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Predicting Host Association for Shiga Toxin-Producing E. coli Serogroups by Machine Learning.

Methods in molecular biology (Clifton, N.J.) Jan 1, 2021
Escherichia coli is a species of bacteria that can be present in a wide variety of mammalian hosts and potentially soil environments. E. coli has an open genome and can show considerable diversity in gene content between isolates. It is a reasonable ...
Humans Machine Learning Animals Phylogeny Cattle Escherichia coli Infections Whole Genome Sequencing Shiga-Toxigenic Escherichia coli Serogroup Genome, Bacterial
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