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A High-throughput Platform for the Screening of Salmonella spp./Shigella spp.
Published on: November 7, 2018
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Advanced data analytics and "omics" techniques to control enteric foodborne pathogens
Shraddha Karanth1, Abani K Pradhan2
1Department of Nutrition and Food Science, University of Maryland, College Park, MD, United States.
Advances in Food and Nutrition Research
|March 1, 2025
Summary
Advanced data analytics, including machine learning, is crucial for analyzing omics data from enteric pathogens. This approach helps mitigate food safety risks and protect public health from foodborne illnesses.
Area of Science:
- Food safety
- Microbiology
- Data Science
Background:
- Enteric bacterial pathogens cause millions of foodborne illnesses globally.
- Subtypes of pathogens like E. coli, Listeria, and Salmonella exhibit significant variations.
- Traditional methods struggle to keep pace with the complexity of pathogen behavior.
Purpose of the Study:
- To review the application of advanced data analytics, specifically machine learning, in analyzing omics data of enteric bacterial pathogens.
- To highlight the potential of these techniques in enhancing food safety and public health.
- To identify future research directions in this domain.
Main Methods:
- Utilizing "omics" technologies (genomics, proteomics, transcriptomics, metabolomics) to gather pathogen data.
- Applying advanced data analytics, including machine learning and artificial intelligence, for data interpretation.
- Reviewing current research on data analysis strategies for enteric pathogens.
Main Results:
- Omics data provides deep insights into the genetic and phenotypic differences of enteric pathogens.
- Machine learning and AI are increasingly effective in extracting actionable knowledge from complex pathogen datasets.
- These advanced analytics aid in predicting and controlling pathogen prevalence in food systems.
Conclusions:
- Advanced data analytics, particularly machine learning, is essential for interpreting omics data from enteric pathogens.
- These methods offer powerful tools to mitigate food safety risks and protect public health.
- Continued development and application of these techniques are vital for future food safety strategies.
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