Your browser doesn't support javascript.
loading
Prediction of Human Induced Pluripotent Stem Cell Cardiac Differentiation Outcome by Multifactorial Process Modeling.
Williams, Bianca; Löbel, Wiebke; Finklea, Ferdous; Halloin, Caroline; Ritzenhoff, Katharina; Manstein, Felix; Mohammadi, Samira; Hashemi, Mohammadjafar; Zweigerdt, Robert; Lipke, Elizabeth; Cremaschi, Selen.
  • Williams B; Department of Chemical Engineering, Auburn University, Auburn, AL, United States.
  • Löbel W; Leibniz Research Laboratories for Biotechnology and Artificial Organs (LEBAO), Department of Cardiothoracic, Transplantation and Vascular Surgery, Hannover Medical School, Hanover, Germany.
  • Finklea F; Department of Chemical Engineering, Auburn University, Auburn, AL, United States.
  • Halloin C; Leibniz Research Laboratories for Biotechnology and Artificial Organs (LEBAO), Department of Cardiothoracic, Transplantation and Vascular Surgery, Hannover Medical School, Hanover, Germany.
  • Ritzenhoff K; Leibniz Research Laboratories for Biotechnology and Artificial Organs (LEBAO), Department of Cardiothoracic, Transplantation and Vascular Surgery, Hannover Medical School, Hanover, Germany.
  • Manstein F; Leibniz Research Laboratories for Biotechnology and Artificial Organs (LEBAO), Department of Cardiothoracic, Transplantation and Vascular Surgery, Hannover Medical School, Hanover, Germany.
  • Mohammadi S; Department of Chemical Engineering, Auburn University, Auburn, AL, United States.
  • Hashemi M; Department of Chemical Engineering, Auburn University, Auburn, AL, United States.
  • Zweigerdt R; Leibniz Research Laboratories for Biotechnology and Artificial Organs (LEBAO), Department of Cardiothoracic, Transplantation and Vascular Surgery, Hannover Medical School, Hanover, Germany.
  • Lipke E; Department of Chemical Engineering, Auburn University, Auburn, AL, United States.
  • Cremaschi S; Department of Chemical Engineering, Auburn University, Auburn, AL, United States.
Article en En | MEDLINE | ID: mdl-32793579

Texto completo: 1 Banco de datos: MEDLINE Tipo de estudio: Guideline / Prognostic_studies / Risk_factors_studies Idioma: En Año: 2020 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Tipo de estudio: Guideline / Prognostic_studies / Risk_factors_studies Idioma: En Año: 2020 Tipo del documento: Article