AIMC Topic: Food Safety

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Artificial intelligence and real-world data for drug and food safety - A regulatory science perspective.

Regulatory toxicology and pharmacology : RTP Apr 13, 2023
In 2013, the Global Coalition for Regulatory Science Research (GCRSR) was established with members from over ten countries (www.gcrsr.net). One of the main objectives of GCRSR is to facilitate communication among global regulators on the rise of new ...
Artificial Intelligence Germany Food Safety Switzerland United States Italy
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How Can AI Help Improve Food Safety?

Annual review of food science and technology Dec 21, 2022
With advances in artificial intelligence (AI) technologies, the development and implementation of digital food systems are becoming increasingly possible. There is tremendous interest in using different AI applications, such as machine learning model...
Ecosystem Disease Outbreaks Artificial Intelligence Food Safety
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Accelerating the Detection of Bacteria in Food Using Artificial Intelligence and Optical Imaging.

Applied and environmental microbiology Dec 19, 2022
In assessing food microbial safety, the presence of Escherichia coli is a critical indicator of fecal contamination. However, conventional detection methods require the isolation of bacterial macrocolonies for biochemical or genetic characterization,...
Food Safety Optical Imaging Escherichia coli Food Contamination Food Microbiology Humans Artificial Intelligence Colony Count, Microbial Bacteria
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Neural network in food analytics.

Critical reviews in food science and nutrition Nov 2, 2022
Neural network (i.e. deep learning, NN)-based data analysis techniques have been listed as a pivotal opportunity to protect the integrity and safety of the global food supply chain and forecast $11.2 billion in agriculture markets. As a general-purpo...
Food Supply Food Technology Deep Learning Food Analysis Food Safety Humans Neural Networks, Computer
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Nondestructive and multiplex differentiation of pathogenic microorganisms from spoilage microflora on seafood using paper chromogenic array and neural network.

Food research international (Ottawa, Ont.) Oct 17, 2022
Non-destructive detection of human foodborne pathogens is critical to ensuring food safety and public health. Here, we report a new method using a paper chromogenic array coupled with a machine learning neural network (PCA-NN) to detect viable pathog...
Product Packaging Shewanella putrefaciens Seafood Food Safety Machine Learning Humans Neural Networks, Computer
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Key Information Extraction of Food Environmental Safety Criminal Judgment Documents Based on Deep Learning.

Journal of environmental and public health Sep 13, 2022
Food has an impact on everyone's daily life, the long-term stability of the nation, human survival and development, people's lives and health, and the steady advancement of society. A food safety criminal judgment is a legal document used to record t...
Food Safety Deep Learning Humans Judgment Criminals Information Storage and Retrieval
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Toward in-process technology-aided automation for enhanced microbial food safety and quality assurance in milk and beverages processing.

Critical reviews in food science and nutrition Sep 6, 2022
Ensuring the safety of food products is critical to food production and processing. In food processing and production, several standard guidelines are implemented to achieve acceptable food quality and safety. This notwithstanding, due to human limit...
Humans Artificial Intelligence Technology Animals Milk Food Microbiology Food Handling Automation Beverages Food Safety
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Evaluation of Tourism Food Safety and Quality with Neural Networks.

Computational intelligence and neuroscience Aug 16, 2022
Food safety issues are inextricably linked to people's lives and, in extreme cases, endanger public safety and social stability. People are becoming increasingly concerned about food safety issues in a modern society with high-quality economic develo...
Food Safety Tourism Neural Networks, Computer Humans Algorithms
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An Entity Relationship Extraction Model Based on BERT-BLSTM-CRF for Food Safety Domain.

Computational intelligence and neuroscience Apr 28, 2022
Dealing with food safety issues in time through online public opinion incidents can reduce the impact of incidents and protect human health effectively. Therefore, by the smart technology of extracting the entity relationship of public opinion events...
Language Humans Food Safety Neural Networks, Computer
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An Entity Relation Extraction Method for Few-Shot Learning on the Food Health and Safety Domain.

Computational intelligence and neuroscience Feb 21, 2022
In recent years, entity relation extraction has been a critical technique to help people analyze complex structured text data. However, there is no advanced research in food health and safety to help people analyze the complex concepts between food a...
Data Analysis Food Safety Humans Machine Learning
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