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  • 标题:Reaction kinetic interpretation of mechanisms related to vascular tumor growth with respect to structural identifiability ⁎
  • 本地全文:下载
  • 作者:Dávid Csercsik ; Levente Kovács
  • 期刊名称:IFAC PapersOnLine
  • 印刷版ISSN:2405-8963
  • 出版年度:2020
  • 卷号:53
  • 期号:2
  • 页码:16106-16111
  • DOI:10.1016/j.ifacol.2020.12.430
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractAnti-angiogenic drugs are relatively new tools in cancer therapy with very low side-effects compared to earlier approaches. These drugs inhibit the formation of new blood vessels in the tumor, thus cutting its cells from nutrient supply. As proliferating tumor cells have very intensive metabolism, the lack of nutrients provides a significant barrier for the growth rate of the tumor. In the recent years it has been shown that the dosage protocol of these drugs may be critical in terms of their efficiency. In addition, several papers are considering model-based methods for therapy optimization and potential feedback control of tumor growth, based on the application of anti-angiogenic drugs. In this paper we use the framework of reaction kinetic systems to formulate simple models for important mechanisms present in vascular tumor growth, and analyze their identifiability properties assuming various plausible measurable variables. The conclusions of the article may contribute to experiment design regarding identification of such and similar models.
  • 关键词:KeywordsBiomedical systemsidentifiabilitynonlinear systems
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