Predictive modeling of neuroblastoma growth dynamics in xenograft model after bevacizumab anti-VEGF therapy
type: Item
instance of: scholarly article
title: Predictive modeling of neuroblastoma growth dynamics in xenograft model after bevacizumab anti-VEGF therapy
zbMATH Open document ID: 1398.92117
author: Yixuan He
author: Anita Kodali
author: Dorothy Wallace
published in: Bulletin of Mathematical Biology
publication date: 2018-09-25T00:00:00Z
Mathematics Subject Classification ID: 92C50
Mathematics Subject Classification ID: 92C45
zbMATH DE Number: 6943463
zbMATH Keywords: cancer modeling
zbMATH Keywords: neuroblastoma
zbMATH Keywords: mathematical model
zbMATH Keywords: VEGF
zbMATH Keywords: tumor growth
describes a project that uses: R
describes a project that uses: Matlab
MaRDI profile type: Publication
Wikidata QID: Q89287630
full work available at URL: s11538-018-0441-3
OpenAlex ID: W2808537874
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cites work: Tumor growth \textit{in vivo} and as multicellular spheroids compared by mathematical models
cites work: A mathematical model for the effect of anti-angiogenic therapy in the treatment of cancer tumours by chemotherapy
cites work: Computational many-particle physics. Papers presented at the summer school, Greifswald, Germany, September 2006.
cites work: A model for spheroid versus monolayer response of SK-N-SH neuroblastoma cells to treatment with 15-deoxy-\(PGJ_2\)
DOI: 10.1007/S11538-018-0441-3
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description: scientific article; zbMATH DE number 6943463