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24-03-2025 05:03 via foodsafetynews.com

Machine learning links up to 64 percent of Salmonella cases to chicken and vegetables

A study by the CDC, FDA and USDA used whole-genome sequencing (WGS) and machine learning to identify chicken and vegetables as leading sources of Salmonella enterica infections in the United States.
The research, published in the April 2025 issue of Emerging Infectious Diseases, focused on sporadic cases, which account for 95 percent of the Centers for Disease Control and Prevention’s estimated 1.35 million annual Salmonella illnesses.Since WGS became routine in 2019, this approach could i
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