AIMC Topic: Serogroup

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Predicting the infecting dengue serotype from antibody titre data using machine learning.

PLoS computational biology Dec 23, 2024
The development of a safe and efficacious vaccine that provides immunity against all four dengue virus serotypes is a priority, and a significant challenge for vaccine development has been defining and measuring serotype-specific outcomes and correla...
Thailand Child, Preschool Child Prospective Studies Male Dengue Virus Serogroup Dengue Antibodies, Viral Computational Biology Humans Machine Learning
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Machine-learning-assisted high-throughput identification of potent and stable neutralizing antibodies against all four dengue virus serotypes.

Scientific reports Jul 26, 2024
Several computational methods have been developed to identify neutralizing antibodies (NAbs) covering four dengue virus serotypes (DENV-1 to DENV-4); however, limitations of the dataset and the resulting performance remain. Here, we developed a new c...
Humans Machine Learning Antibodies, Viral Serogroup High-Throughput Screening Assays Molecular Dynamics Simulation Epitopes Dengue Dengue Virus Antibodies, Neutralizing
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Characterization of the prevalence of Salmonella in different retail chicken supply modes using genome-wide and machine-learning analyses.

Food research international (Ottawa, Ont.) Jun 19, 2024
Salmonella is a foodborne pathogen that causes salmonellosis, of which retail chicken meat is a major source. However, the prevalence of Salmonella in different retail chicken supply modes and the threat posed to consumers remains unclear. The preval...
Meat Whole Genome Sequencing Chickens Food Microbiology Serogroup Genome, Bacterial Drug Resistance, Bacterial Animals China Salmonella Prevalence Machine Learning Anti-Bacterial Agents
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Rapid identification of Salmonella serovars Enteritidis and Typhimurium using whole cell matrix assisted laser desorption ionization - Time of flight mass spectrometry (MALDI-TOF MS) coupled with multivariate analysis and artificial intelligence.

Journal of microbiological methods Sep 23, 2023
Salmonella is a common food-borne pathogen with Enteritidis and Typhimurium being among the most important serovars causing numerous outbreaks. A rapid method was investigated to identify these serovars using whole-cell MALDI-TOF MS coupled with mult...
Lasers Multivariate Analysis Artificial Intelligence Salmonella enteritidis Serogroup Ions Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization
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Semiquantitative Fingerprinting Based on Pseudotargeted Metabolomics and Deep Learning for the Identification of and Its Major Serotypes.

Analytical chemistry Apr 4, 2023
The rapid identification of pathogenic microorganism serotypes is still a bottleneck problem to be solved urgently. Compared with proteomics technology, metabolomics technology is directly related to phenotypes and has higher specificity in identifyi...
Metabolomics Phenotype Listeria monocytogenes Deep Learning Serogroup
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Nondestructive microbial discrimination using single-cell Raman spectra and random forest machine learning algorithm.

STAR protocols Nov 3, 2022
Raman microspectroscopy is a powerful tool for obtaining biomolecular information from single microbial cells in a nondestructive manner. Here, we detail steps to discriminate prokaryotic species using single-cell Raman spectra acquisitions followed ...
Machine Learning Spectrum Analysis, Raman Algorithms Serogroup
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Accurate virus identification with interpretable Raman signatures by machine learning.

Proceedings of the National Academy of Sciences of the United States of America Jun 2, 2022
Rapid identification of newly emerging or circulating viruses is an important first step toward managing the public health response to potential outbreaks. A portable virus capture device, coupled with label-free Raman spectroscopy, holds the promise...
Neural Networks, Computer Viruses Disease Outbreaks Serogroup Machine Learning Pandemics
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Overfitting One-Dimensional convolutional neural networks for Raman spectra identification.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy Jan 29, 2022
Dedicated handheld spectrometers have been adopted by first responders and law enforcement agencies for in situ identification of unknown substances. Real-time spectral matching process is a pixel-by-pixel comparing of the unknown spectra with refere...
Spectrum Analysis, Raman Serogroup Neural Networks, Computer
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A Preliminary Investigation on the Antiviral Activities of the Philippine Marshmint (Mentha arvensis) Leaf Extracts against Dengue Virus Serotype 2 In Vitro.

The Kobe journal of medical sciences Dec 21, 2021
In this study, we investigated the antiviral activity of lyophilized crude leaf extracts of the Philippine marshmint (Mentha arvensis L., commonly called yerba buena) against DENV-2 in vitro. The plant specimen was authenticated by DNA barcoding anal...
Chlorocebus aethiops Serogroup Animals Plant Extracts Vero Cells Mentha Dengue Virus Philippines Antiviral Agents
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Analysis of Raman Spectra by Using Deep Learning Methods in the Identification of Marine Pathogens.

Analytical chemistry Aug 2, 2021
The need for efficient and accurate identification of pathogens in seafood and the environment has become increasingly urgent, given the current global pandemic. Traditional methods are not only time consuming but also lead to sample wastage. Here, w...
Deep Learning Spectrum Analysis, Raman Neural Networks, Computer Research Design Serogroup
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