International audienceChronic toxicity data for Daphnia magna are information requirements in the context of regulations on chemical safety. This paper proposes a linear model for the prediction of chemically-induced effects on the reproductive output of D. magna. This model is based on data retrieved from the Japanese Ministry of Environment database and it predicts chronic effects as a function of acute toxicity data. The proposed model proved to be able to predict chronic toxicities for chemicals not used in the training set. Our results suggest that experiments involving chronic exposure to chemicals could be reduced thanks to the proposed model
Models describing dose–response relationships are becoming increasingly popular in ecotoxicology. Th...
Two prevailing theoretical models: concentration addition (CA) and independent action (IA), predict ...
Herein, we propose models for predicting fish early-life stage (ELS) toxicity from acute Daphnia mag...
<p>We evaluated the predictivity and applicability of previously proposed models for the reproductiv...
A multivariate model is proposed relating short-term biomarker measurements, in Daphnia magna to chr...
Risk assessment is in urgent need of more accurate toxic effect endpoints than those currently in us...
Risk assessment is in urgent need of more accurate toxic effect endpoints than those currently in us...
The current approach for environmental risk assessment (ERA) of chemicals suffers many limitations. ...
Both the acute toxicity and chronic toxicity data on aquatic organisms are indispensable parameters ...
Different types of organic compounds, which are used in cosmetics from decades. The usage of cosmeti...
Modelling techniques are becoming more prominent in the risk assessment of chemicals. Mechanistic mo...
Models describing dose–response relationships are becoming increasingly popular in ecotoxicology. Th...
We applied a mechanistically based model to predict the effects of complex mixtures as occurring in ...
There is the need to integrate existing toxicity data in a coherent framework for extending their do...
The long-term prediction and estimation of contamination effects on aquatic organisms, at individual...
Models describing dose–response relationships are becoming increasingly popular in ecotoxicology. Th...
Two prevailing theoretical models: concentration addition (CA) and independent action (IA), predict ...
Herein, we propose models for predicting fish early-life stage (ELS) toxicity from acute Daphnia mag...
<p>We evaluated the predictivity and applicability of previously proposed models for the reproductiv...
A multivariate model is proposed relating short-term biomarker measurements, in Daphnia magna to chr...
Risk assessment is in urgent need of more accurate toxic effect endpoints than those currently in us...
Risk assessment is in urgent need of more accurate toxic effect endpoints than those currently in us...
The current approach for environmental risk assessment (ERA) of chemicals suffers many limitations. ...
Both the acute toxicity and chronic toxicity data on aquatic organisms are indispensable parameters ...
Different types of organic compounds, which are used in cosmetics from decades. The usage of cosmeti...
Modelling techniques are becoming more prominent in the risk assessment of chemicals. Mechanistic mo...
Models describing dose–response relationships are becoming increasingly popular in ecotoxicology. Th...
We applied a mechanistically based model to predict the effects of complex mixtures as occurring in ...
There is the need to integrate existing toxicity data in a coherent framework for extending their do...
The long-term prediction and estimation of contamination effects on aquatic organisms, at individual...
Models describing dose–response relationships are becoming increasingly popular in ecotoxicology. Th...
Two prevailing theoretical models: concentration addition (CA) and independent action (IA), predict ...
Herein, we propose models for predicting fish early-life stage (ELS) toxicity from acute Daphnia mag...