Scientists at a university in Scotland have developed a technique which could help to identify the source of food poisoning in a better way than current methods.
The technique relies on a new machine learning
Continue Reading Researchers use machine learning to tackle food poisoning
Whole genome sequencing offers new possibilities for foodborne outbreak detection and investigation, source attribution and hazard identification, according to an EFSA panel.
The scientific opinion by the panel on Biological Hazards covers use of whole
Continue Reading Experts assess potential of whole genome sequencing in food safety
Understanding which foods are most commonly responsible for certain foodborne illnesses helps in developing effective prevention measures. Today, the three federal agencies involved in the Interagency Food Safety Analytics Collaboration (IFSAC) released details of their
Continue Reading Agencies Develop New Model for Foodborne Illness Sources
