Your browser doesn't support javascript.
loading
In Silico Oncology: Quantification of the In Vivo Antitumor Efficacy of Cisplatin-Based Doublet Therapy in Non-Small Cell Lung Cancer (NSCLC) through a Multiscale Mechanistic Model.
Kolokotroni, Eleni; Dionysiou, Dimitra; Veith, Christian; Kim, Yoo-Jin; Sabczynski, Jörg; Franz, Astrid; Grgic, Aleksandar; Palm, Jan; Bohle, Rainer M; Stamatakos, Georgios.
Afiliación
  • Kolokotroni E; In Silico Oncology and In Silico Medicine Group, Institute of Communication and Computer Systems, National Technical University of Athens, Athens, Greece.
  • Dionysiou D; In Silico Oncology and In Silico Medicine Group, Institute of Communication and Computer Systems, National Technical University of Athens, Athens, Greece.
  • Veith C; Institute of Pathology, University of Saarland, Homburg (Saar), Germany.
  • Kim YJ; Institute of Pathology, University of Saarland, Homburg (Saar), Germany.
  • Sabczynski J; Philips Research, Hamburg, Germany.
  • Franz A; Philips Research, Hamburg, Germany.
  • Grgic A; Department of Nuclear Medicine, University of Saarland, Homburg (Saar), Germany.
  • Palm J; Department of Radiotherapy and Radiation Oncology, University of Saarland, Homburg (Saar), Germany.
  • Bohle RM; Institute of Pathology, University of Saarland, Homburg (Saar), Germany.
  • Stamatakos G; In Silico Oncology and In Silico Medicine Group, Institute of Communication and Computer Systems, National Technical University of Athens, Athens, Greece.
PLoS Comput Biol ; 12(9): e1005093, 2016 Sep.
Article en En | MEDLINE | ID: mdl-27657742

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Guideline / Prognostic_studies / Qualitative_research Idioma: En Revista: PLoS Comput Biol Asunto de la revista: BIOLOGIA / INFORMATICA MEDICA Año: 2016 Tipo del documento: Article País de afiliación: Grecia

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Guideline / Prognostic_studies / Qualitative_research Idioma: En Revista: PLoS Comput Biol Asunto de la revista: BIOLOGIA / INFORMATICA MEDICA Año: 2016 Tipo del documento: Article País de afiliación: Grecia