Quantitative systems pharmacology modeling provides insight into inter-mouse variability of Anti-CTLA4 response.

Qiao, Wenlian; Lin, Lin; Young, Carissa; Narula, Jatin; Hua, Fei; Matteson, Andrew; Hooper, Andrea; Gruenbaum, Lore; Betts, Alison

Qiao, Wenlian; Lin, Lin; Young, Carissa; Narula, Jatin; Hua, Fei; Matteson, Andrew; Hooper, Andrea; Gruenbaum, Lore; Betts, Alison.

Afiliación

Qiao W; BioMedicine Design, World Research, Development and Medical, Pfizer, Inc., Cambridge, Massachusetts, USA.
Lin L; Formerly, Applied BioMath, Inc., Concord, Massachusetts, USA.
Young C; Formerly, Applied BioMath, Inc., Concord, Massachusetts, USA.
Narula J; BioMedicine Design, World Research, Development and Medical, Pfizer, Inc., Cambridge, Massachusetts, USA.
Hua F; Applied BioMath, Inc., Concord, Massachusetts, USA.
Matteson A; Applied BioMath, Inc., Concord, Massachusetts, USA.
Hooper A; Formerly, Oncology Research Unit, World Research, Development and Medical, Pfizer, Inc., Pearl River, New York, USA.
Gruenbaum L; Formerly, Applied BioMath, Inc., Concord, Massachusetts, USA.
Betts A; Applied BioMath, Inc., Concord, Massachusetts, USA.

CPT Pharmacometrics Syst Pharmacol ; 11(7): 880-893, 2022 07.

Article en En | MEDLINE | ID: mdl-35439371

Asunto(s)

Neoplasias; Farmacología en Red; Animales; Anticuerpos; Modelos Animales de Enfermedad; Inmunoterapia/métodos; Ratones; Neoplasias/patología

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Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Farmacología en Red / Neoplasias Tipo de estudio: Prognostic_studies Límite: Animals Idioma: En Revista: CPT Pharmacometrics Syst Pharmacol Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos

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