Your browser doesn't support javascript.
loading
How paediatric drug development and use could benefit from OMICs: A c4c expert group white paper.
Neumann, Eva; Schreeck, Filippa; Herberg, Jethro; Jacqz Aigrain, Evelyne; Maitland-van der Zee, Anke H; Pérez-Martínez, Antonio; Hawcutt, Daniel B; Schaeffeler, Elke; Rane, Anders; de Wildt, Saskia N; Schwab, Matthias.
Afiliação
  • Neumann E; Dr Margarete Fischer-Bosch Institute of Clinical Pharmacology, Stuttgart, and University of Tuebingen, Tuebingen, Germany.
  • Schreeck F; Dr Margarete Fischer-Bosch Institute of Clinical Pharmacology, Stuttgart, and University of Tuebingen, Tuebingen, Germany.
  • Herberg J; Department of Paediatric Infectious Disease, Faculty of Medicine, Imperial College London, London, UK.
  • Jacqz Aigrain E; Pediatric Pharmacology and Pharmacogenetics, Hopital Universitaire Saint-Louis, Paris, France.
  • Maitland-van der Zee AH; Clinical Investigation Center CIC1426, Hôpital Robert Debre, Paris, France.
  • Pérez-Martínez A; Pharmacology, University of Paris, Paris, France.
  • Hawcutt DB; Department of Respiratory Medicine, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands.
  • Schaeffeler E; Institute for Health Research, La Paz University Hospital, Madrid, Spain.
  • Rane A; Pediatric Onco-Hematology Department, La Paz University Hospital, Madrid, Spain.
  • de Wildt SN; Faculty of Medicine, Autonomous University of Madrid, Madrid, Spain.
  • Schwab M; Department of Women's and Children's Health, University of Liverpool, UK.
Br J Clin Pharmacol ; 88(12): 5017-5033, 2022 12.
Article em En | MEDLINE | ID: mdl-34997627
Assuntos
Palavras-chave
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Pediatria / Inteligência Artificial Tipo de estudo: Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Child / Humans Idioma: En Revista: Br J Clin Pharmacol Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Alemanha
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Pediatria / Inteligência Artificial Tipo de estudo: Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Child / Humans Idioma: En Revista: Br J Clin Pharmacol Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Alemanha