New AI model eliminates false positives in food testing
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Oregon State University Feb 10 2026 Researchers have significantly enhanced an artificial intelligence tool used to rapidly detect bacterial contamination in food by eliminating misclassifications of food debris that looks like bacteria. Current methods to detect contamination of foods such as leafy greens, meat and cheese, which typically involve cultivating bacteria, often require specialized expertise and are time consuming - taking several days to a week. Luyao Ma, an assistant professor at
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