Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
Advancing computational toxicology by interpretable machine learning
Chemical toxicity evaluations for drugs, consumer products, and environmental chemicals
have a critical impact on human health. Traditional animal models to evaluate chemical …
have a critical impact on human health. Traditional animal models to evaluate chemical …
[HTML][HTML] (Eco) toxicological tests for assessing impacts of chemical stress to aquatic ecosystems: facts, challenges, and future
Monitoring of chemicals in the aquatic environment by chemical analysis alone cannot
completely assess and predict the effects of chemicals on aquatic species and ecosystems …
completely assess and predict the effects of chemicals on aquatic species and ecosystems …
Adverse outcome pathways: opportunities, limitations and open questions
Adverse outcome pathways (AOPs) are a recent toxicological construct that connects, in a
formalized, transparent and quality-controlled way, mechanistic information to apical …
formalized, transparent and quality-controlled way, mechanistic information to apical …
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 …
[HTML][HTML] Metabolomics in environmental toxicology: Applications and challenges
C Bedia - Trends in Environmental Analytical Chemistry, 2022 - Elsevier
Metabolomics is a discipline aiming to characterize the presence of metabolites in biological
matrices under specific conditions. In recent years, metabolomics has increasingly been …
matrices under specific conditions. In recent years, metabolomics has increasingly been …
[HTML][HTML] From the exposome to mechanistic understanding of chemical-induced adverse effects
The exposome encompasses an individual's exposure to exogenous chemicals, as well as
endogenous chemicals that are produced or altered in response to external stressors. While …
endogenous chemicals that are produced or altered in response to external stressors. While …
Machine learning in predictive toxicology: recent applications and future directions for classification models
In recent times, machine learning has become increasingly prominent in predictive
toxicology as it has shifted from in vivo studies toward in silico studies. Currently, in vitro …
toxicology as it has shifted from in vivo studies toward in silico studies. Currently, in vitro …
Adverse outcome pathways—organizing toxicological information to improve decision making
The number of chemicals for which environmental regulatory decisions are required far
exceeds the current capacity for toxicity testing. High-throughput screening commonly used …
exceeds the current capacity for toxicity testing. High-throughput screening commonly used …
Adverse outcome pathways: a concise introduction for toxicologists
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 …
Ecdysone receptor agonism leading to lethal molting disruption in arthropods: review and adverse outcome pathway development
Molting is critical for growth, development, reproduction, and survival in arthropods.
Complex neuroendocrine pathways are involved in the regulation of molting and may …
Complex neuroendocrine pathways are involved in the regulation of molting and may …