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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| Format: | Article |
| Langue: | English |
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Wiley
2019-07-01
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| Collection: | EFSA Journal |
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| Accès en ligne: | https://doi.org/10.2903/j.efsa.2019.e170710 |