Application of Bioinformatics and Machine Learning Tools in Food Safety.

Journal: Current nutrition reports
PMID: 40388006

Abstract

PURPOSE OF REVIEW: Food safety is a fundamental challenge in public health and sustainable development, facing threats from microbial, chemical, and physical contamination. Innovative technologies improve our capacity to detect contamination early and prevent disease outbreaks, while also optimizing food production and distribution processes.

Authors

  • Mahdi Soroushianfar
    Department of Pathobiology, Faculty of Veterinary Medicine, Ferdowsi University of Mashhad, Mashhad, Iran.
  • Goli Asgari
    Department of Health Information Technology and Management, School of Allied Medical Sciences, Shahid Beheshti University of Medical Science, Tehran, Iran.
  • Fatemeh Afzali
    Occupational Hygiene and Safety Engineering at Public Health School of Shahid Beheshti Medical University Tehran, Tehran, Iran.
  • Atiyeh Falahat
    Occupational Hygiene and Safety Engineering at Public Health School of Shahid Beheshti Medical University Tehran, Tehran, Iran.
  • Mohammad Soroush
    Occupational Hygiene and Safety Engineering at Public Health School of Shahid Beheshti Medical University Tehran, Tehran, Iran.
  • Mansoor Baghahi
    Occupational Hygiene and Safety Engineering at Public Health School of Shahid Beheshti Medical University Tehran, Tehran, Iran.
  • Mohammad Javad Haratizadeh
    Department of Pathobiology, Faculty of Veterinary Medicine, Ferdowsi University of Mashhad, Mashhad, Iran.
  • Ghazaleh Khalili-Tanha
    Metabolic Syndrome Research Center, Mashhad University of Medical Sciences, Mashhad, Iran; Medical Genetics Research Center, Mashhad University of Medical Sciences, Mashhad, Iran.
  • Elham Nazari
    Proteomics Research Center, System Biology Institute, Faculty of Paramedical Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran. Elham.Nazari@sbmu.ac.ir.

Keywords

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