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群体分析中肿瘤生长和抗癌药物治疗效果的混合效应模型研究综述。

A review of mixed-effects models of tumor growth and effects of anticancer drug treatment used in population analysis.

机构信息

INRIA, Project-Team NUMED, École Normale Supérieure de Lyon, Lyon, France.

Department of Pharmaceutical Biosciences, Uppsala University, Uppsala, Sweden.

出版信息

CPT Pharmacometrics Syst Pharmacol. 2014 May 7;3(5):e113. doi: 10.1038/psp.2014.12.

Abstract

Population modeling of tumor size dynamics has recently emerged as an important tool in pharmacometric research. A series of new mixed-effects models have been reported recently, and we present herein a synthetic view of models with published mathematical equations aimed at describing the dynamics of tumor size in cancer patients following anticancer drug treatment. This selection of models will constitute the basis for the Drug Disease Model Resources (DDMoRe) repository for models on oncology.

摘要

肿瘤大小动态的群体建模最近已成为药物计量学研究中的一个重要工具。最近报道了一系列新的混合效应模型,我们在此提供了一个带有已发表数学方程的模型综合视图,旨在描述癌症患者在接受抗癌药物治疗后肿瘤大小的变化。这些模型的选择将构成肿瘤学模型的药物疾病模型资源(DDMoRe)库的基础。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8b7e/4050233/94399b2010d8/psp201412f1.jpg

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