Modeling of tumor growth incorporating the effect of pegylated liposomal doxorubicin

Daniel Andras Drexler, Tamas Ferenci, Anna Lovrics, Levente Kovacs

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

Modeling tumor growth is a fundamental step in the design of automated, optimal, patient specific therapies. We extend our tumor growth model created to describe the effect of an angiogenic inhibitor in order to make it suitable to describe the effect of chemotherapy. By incorporating the dead tumor cell washout into our previous model, we are able to describe the most important phenomena during treatment with chemotherapy. We use measurements from experiments carried out on mice with a chemotherapeutic drug Pegylated Liposomal Doxorubicin, and carry out parametric identification of our model. The results show that the extended model can describe chemotherapy sufficiently.

Original languageEnglish
Title of host publicationINES 2019 - IEEE 23rd International Conference on Intelligent Engineering Systems, Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages369-374
Number of pages6
ISBN (Electronic)9781728112138
DOIs
Publication statusPublished - Apr 2019
Event23rd IEEE International Conference on Intelligent Engineering Systems, INES 2019 - Godollo, Hungary
Duration: Apr 25 2019Apr 27 2019

Publication series

NameINES 2019 - IEEE 23rd International Conference on Intelligent Engineering Systems, Proceedings

Conference

Conference23rd IEEE International Conference on Intelligent Engineering Systems, INES 2019
CountryHungary
CityGodollo
Period4/25/194/27/19

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Science Applications
  • Control and Systems Engineering
  • Mechanical Engineering

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    Drexler, D. A., Ferenci, T., Lovrics, A., & Kovacs, L. (2019). Modeling of tumor growth incorporating the effect of pegylated liposomal doxorubicin. In INES 2019 - IEEE 23rd International Conference on Intelligent Engineering Systems, Proceedings (pp. 369-374). [9109532] (INES 2019 - IEEE 23rd International Conference on Intelligent Engineering Systems, Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/INES46365.2019.9109532