Model-based angiogenic inhibition of tumor growth using adaptive fuzzy techniques

Annamária Szeles, Dániel András Drexler, Johanna Sápi, István Harmati, Levente Kovács

Research output: Contribution to journalArticle

6 Citations (Scopus)

Abstract

Fighting tumors is one of the most important problems of medical research. In this paper, antiangiogenic cancer therapy is investigated through its mathematical model. This tumor treatment method targets the endothelium of a growing tumor and belongs to the targeted molecular therapies. The aim of the therapy is not to eliminate the entire tumor, but to decrease the tumor to a minimal volume. An advantage of applying antiangiogenic treatment is that tumor cells show lower tendency of becoming resistant to the applied drugs. Adaptive fuzzy control is implemented for a simplified model to elaborate a control technique which is able to handle the e ects of parameter perturbations and uncertainties while keeping the daily and total inhibitor inlet under a given limit.

Original languageEnglish
Pages (from-to)29-36
Number of pages8
JournalPeriodica Polytechnica Electrical Engineering and Computer Science
Volume58
Issue number1
DOIs
Publication statusPublished - 2014

Keywords

  • Adaptive control
  • Biomedical systems
  • Fuzzy systems
  • Soft computing
  • Tumor treatment

ASJC Scopus subject areas

  • Software
  • Signal Processing
  • Information Systems
  • Computer Science Applications
  • Computer Networks and Communications
  • Electrical and Electronic Engineering

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