VEGA-QSAR: AI inside a platform for predictive toxicology

Emilio Benfenati, Alberto Manganaro, Giuseppina Gini

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Computer simulation and predictive models are widely used in engineering, much less considered in life sciences. We present an initiative aimed to establish a dialogue within the community of scientists, regulators, industry representatives, offering a platform which combines the predictive capability of computer models, with some explanation tools, which may be convincing and helpful for human users to derive a conclusion. The resulting system covers a large set of toxicological endpoints.

Original languageEnglish
Title of host publicationCEUR Workshop Proceedings
PublisherCEUR-WS
Pages21-28
Number of pages8
Volume1107
Publication statusPublished - 2013
Event2nd Workshop on Popularize Artificial Intelligence, PAI 2013, Held in Conjunction with AI*IA 2013 - Turin, Italy
Duration: Dec 5 2013 → …

Other

Other2nd Workshop on Popularize Artificial Intelligence, PAI 2013, Held in Conjunction with AI*IA 2013
CountryItaly
CityTurin
Period12/5/13 → …

ASJC Scopus subject areas

  • Computer Science(all)

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  • Cite this

    Benfenati, E., Manganaro, A., & Gini, G. (2013). VEGA-QSAR: AI inside a platform for predictive toxicology. In CEUR Workshop Proceedings (Vol. 1107, pp. 21-28). CEUR-WS.