Big data in food safety: An overview
HJP Marvin, EM Janssen, Y Bouzembrak… - Critical reviews in …, 2017 - Taylor & Francis
Technology is now being developed that is able to handle vast amounts of structured and
unstructured data from diverse sources and origins. These technologies are often referred to …
unstructured data from diverse sources and origins. These technologies are often referred to …
Adverse outcome pathways: a concise introduction for toxicologists
M Vinken, D Knapen, L Vergauwen, JG Hengstler… - Archives of …, 2017 - Springer
Adverse outcome pathways (AOPs) are designed to provide a clear-cut mechanistic
representation of critical toxicological effects that propagate over different layers of biological …
representation of critical toxicological effects that propagate over different layers of biological …
The comparative toxicogenomics database: update 2019
AP Davis, CJ Grondin, RJ Johnson… - Nucleic acids …, 2019 - academic.oup.com
Abstract The Comparative Toxicogenomics Database (CTD; http://ctdbase. org/) is a premier
public resource for literature-based, manually curated associations between chemicals …
public resource for literature-based, manually curated associations between chemicals …
Adverse outcome pathway networks I: Development and applications
Based on the results of a Horizon Scanning exercise sponsored by the Society of
Environmental Toxicology and Chemistry that focused on advancing the adverse outcome …
Environmental Toxicology and Chemistry that focused on advancing the adverse outcome …
The adverse outcome pathway: a multifaceted framework supporting 21st century toxicology
GT Ankley, SW Edwards - Current opinion in toxicology, 2018 - Elsevier
The adverse outcome pathway (AOP) framework serves as a knowledge assembly,
interpretation, and communication tool designed to support the translation of pathway …
interpretation, and communication tool designed to support the translation of pathway …
[HTML][HTML] Using chemical and biological data to predict drug toxicity
Various sources of information can be used to better understand and predict compound
activity and safety-related endpoints, including biological data such as gene expression and …
activity and safety-related endpoints, including biological data such as gene expression and …
High‐throughput screening and environmental risk assessment: State of the science and emerging applications
ABSTRACT In 2007 the United States National Research Council (NRC) published a vision
for toxicity testing in the 21st century that emphasized the use of in vitro high‐throughput …
for toxicity testing in the 21st century that emphasized the use of in vitro high‐throughput …
Drug metabolism in preclinical drug development: a survey of the discovery process, toxicology, and computational tools
Background: While establishing efficacy in translational models and humans through
clinically-relevant endpoints for disease is of great interest, assessing the potential toxicity of …
clinically-relevant endpoints for disease is of great interest, assessing the potential toxicity of …
Artificial intelligence, big data, and blockchain in food safety
Q Zhou, H Zhang, S Wang - International Journal of Food …, 2022 - degruyter.com
Food safety plays an essential role in our daily lives, and it becomes serious with the
development of worldwide trade. To tackle the food safety issues, many advanced …
development of worldwide trade. To tackle the food safety issues, many advanced …
Three perspectives on the prediction of chemical effects in ecosystems
A Schneeweiss, NPD Juvigny‐Khenafou… - Global Change …, 2023 - Wiley Online Library
The increasing production, use and emission of synthetic chemicals into the environment
represents a major driver of global change. The large number of synthetic chemicals, limited …
represents a major driver of global change. The large number of synthetic chemicals, limited …