Predicting toxicity of chemicals: software beats animal testing

Abstract We created earlier a large machine‐readable database of 10,000 chemicals and 800,000 associated studies by natural language processing of the public parts of Registration, Evaluation, Authorisation and Restriction of Chemicals (REACH) registrations until December 2014. This database was use...

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Hlavní autor:	Thomas Hartung
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	Wiley 2019-07-01
Edice:	EFSA Journal
Témata:	alternatives to animal testing computational toxicology read‐across risk assessment
On-line přístup:	https://doi.org/10.2903/j.efsa.2019.e170710
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