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Curated Data In - Trustworthy In Silico Models Out: The Impact of Data Quality on the Reliability of Artificial Intelligence Models as Alternatives to Animal Testing.
Alves, Vinicius M; Auerbach, Scott S; Kleinstreuer, Nicole; Rooney, John P; Muratov, Eugene N; Rusyn, Ivan; Tropsha, Alexander; Schmitt, Charles.
Afiliação
  • Alves VM; Office of Data Science, Division of the National Toxicology Program (DNTP), 6857National Institute of Environmental Health Sciences (NIEHS), Durham, NC, USA.
  • Auerbach SS; Toxinformatics Group, Predictive Toxicology Branch, DNTP, NIEHS, Durham, NC, USA.
  • Kleinstreuer N; National Toxicology Program Interagency Center for the Evaluation of Alternative Toxicological Methods, Scientific Director's Office, DNTP, NIEHS, Durham, NC, USA.
  • Rooney JP; Integrated Laboratory Systems, LLC, Morrisville, NC, USA.
  • Muratov EN; Laboratory for Molecular Modeling, UNC Eshelman School of Pharmacy, 2331The University of North Carolina at Chapel Hill, NC, USA.
  • Rusyn I; Department of Pharmaceutical Sciences, Federal University of Paraiba, Joao Pessoa, Paraiba, Brazil.
  • Tropsha A; Department of Veterinary Integrative Biosciences, College of Veterinary Medicine and Biomedical Sciences, Texas A&M University, College Station, TX, USA.
  • Schmitt C; Laboratory for Molecular Modeling, UNC Eshelman School of Pharmacy, 2331The University of North Carolina at Chapel Hill, NC, USA.
Altern Lab Anim ; 49(3): 73-82, 2021 May.
Article em En | MEDLINE | ID: mdl-34233495
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Inteligência Artificial / Alternativas aos Testes com Animais Tipo de estudo: Prognostic_studies Limite: Animals Idioma: En Ano de publicação: 2021 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Inteligência Artificial / Alternativas aos Testes com Animais Tipo de estudo: Prognostic_studies Limite: Animals Idioma: En Ano de publicação: 2021 Tipo de documento: Article