Items Tagged with 'artificial intelligence'

This article examines the need to always engage subject matter experts in the analysis of AI results for food safety in the context of biosurveillance and cognitive security.

Garlic carries a distinct bacterial signature reflective of the soil in which it was grown, enabling geographic identification based on microbial composition. A novel method using microbiome data and AI analysis potentially offers a low-cost authentication technique.

The low-cost approach enables simultaneous detection of multiple foodborne pathogens and spoilage microorganisms in a shorter timeframe than traditional detection methods, without requiring advanced technical training. 

TraceMap supports national authorities in identifying food safety threats and improving EU-wide coordinated response. A pilot version of TraceMap was recently used to support the investigation of globally distributed cereulide-contaminated infant formula.

The researchers positioned the machine learning model as a low-cost complement to traditional testing workflows, helping dairy processors enhance food safety while targeting laboratory resources.

The extended agreement between FDA’s Human Foods Program and Simulations Plus allows scientists to continue research involving computational models to support chemical safety assessments for food and food-contact substances.

The detection system was able to detect the presence of foodborne pathogens in complex food matrices as little as three hours with 0 percent false positives, 94 percent recall, and 100 percent precision.

The way people shop, cook, and seek information is evolving rapidly, and with it, the expectations placed on food safety educators, regulators, and industry partners.

In this episode of Food Safety Matters, we speak to Campbell Mitchell, Head of Food Safety and Compliance for Kraft Heinz North America, about working in cross-cultural teams, communicating the importance of food safety beyond lab testing, how consumer demands influence safety-adjacent business decisions, the use of advanced digital tools, and other topics.

A team of scientists and industry experts is developing an ultra-compact, energy-efficient hyperspectral camera that uses AI to perform complex analyses in real time, enabling defects in food to be identified quickly and accurately.