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Identification of pharmacodynamic biomarker hypotheses through literature analysis with IBM Watson.
Hatz, Sonja; Spangler, Scott; Bender, Andrew; Studham, Matthew; Haselmayer, Philipp; Lacoste, Alix M B; Willis, Van C; Martin, Richard L; Gurulingappa, Harsha; Betz, Ulrich.
Afiliação
  • Hatz S; Merck KGaA, Frankfurter Straße, Darmstadt, Germany.
  • Spangler S; IBM Watson Health, Almaden, California, United States of America.
  • Bender A; EMD Serono, Middlesex Turnpike, Billerica, United States of America.
  • Studham M; EMD Serono, Middlesex Turnpike, Billerica, United States of America.
  • Haselmayer P; Merck KGaA, Frankfurter Straße, Darmstadt, Germany.
  • Lacoste AMB; IBM Watson Health, New York, New York, United States of America.
  • Willis VC; IBM Watson Health, Cambridge, Massachusetts, United States of America.
  • Martin RL; IBM Watson Health, Cambridge, Massachusetts, United States of America.
  • Gurulingappa H; Merck KGaA, Frankfurter Straße, Darmstadt, Germany.
  • Betz U; Merck KGaA, Frankfurter Straße, Darmstadt, Germany.
PLoS One ; 14(4): e0214619, 2019.
Article em En | MEDLINE | ID: mdl-30958864
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Biomarcadores / Descoberta de Drogas Tipo de estudo: Diagnostic_studies / Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2019 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Biomarcadores / Descoberta de Drogas Tipo de estudo: Diagnostic_studies / Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2019 Tipo de documento: Article