AIMC Topic: Foodborne Diseases

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Optical sensing for real-time detection of food-borne pathogens in fresh produce using machine learning.

Science progress Jan 1, 2024
Contaminated fresh produce remains a prominent catalyst for food-borne illnesses, prompting the need for swift and precise pathogen detection to mitigate health risks. This paper introduces an innovative strategy for identifying food-borne pathogens ...
Escherichia coli Food Contamination Salmonella Foodborne Diseases Machine Learning Vegetables Food Microbiology Food Safety Humans
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Tracing outbreaks with machine learning.

Nature reviews. Microbiology May 1, 2019
Machine Learning Public Health Humans Genome, Bacterial Salmonella typhimurium Salmonella Food Poisoning Disease Outbreaks Foodborne Diseases
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Rethink government with AI.

Nature Apr 1, 2019
Social Work Prejudice Police Federal Government Government Regulation Artificial Intelligence Ill-Housed Persons Policy Making Facial Recognition Humans Housing Inventions Administrative Personnel Foodborne Diseases Machine Learning Computer Simulation Models, Theoretical Big Data Forecasting Social Media Minority Groups
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[Tetrodotoxin (TTX) Monitoring of Biological Specimens and Toxin Profile in a Food Poisoning Case Caused by the Scavenging Gastropod Nassarius (Alectrion) glans "Kinshibai"].

Shokuhin eiseigaku zasshi. Journal of the Food Hygienic Society of Japan Jan 1, 2017
In November 2015, a patient presented with symptoms of toxicity after eating whole boiled samples of the scavenging gastropod Nassarius (Alectrion) glans "Kinshibai" in Nagasaki. This food poisoning case was the third recorded in Japan. The case was ...
Risk Monitoring, Physiologic Animals Chromatography, Liquid Tetrodotoxin Mice Food Analysis Gastropoda Tandem Mass Spectrometry Male Biological Assay Foodborne Diseases Biomarkers Japan Humans Aged
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