Artificial neural network analysis of data from multiple in vitro assays for prediction of skin sensitization potency of chemicals

Article ID	Journal	Published Year	Pages	File Type
5861961	Toxicology in Vitro	2013	14 Pages	PDF

Abstract

âº Combination of h-CLAT and SH test improved the accuracy of prediction of LLNA. âº SH test, CV75 value (cytotoxicity) and h-CLAT were correlated with LLNA. âº Artificial neural network model by SH test/CV75/h-CLAT was correlated with LLNA. âº SH test and the peptide-binding assay were mutually correlated.

Keywords

h-CLAT SH test Risk assessment Skin sensitization Artificial Neural Network

Related Topics

Life Sciences Environmental Science Health, Toxicology and Mutagenesis

Preview

Artificial neural network analysis of data from multiple in vitro assays for prediction of skin sensitization potency of chemicals

Authors

Morihiko Hirota, Hirokazu Kouzuki, Takao Ashikaga, Sakiko Sono, Kyoko Tsujita, Hitoshi Sasa, Setsuya Aiba,