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Model-based angiogenic inhibition of tumor growth using adaptive fuzzy techniques
| Content Provider | Semantic Scholar |
|---|---|
| Author | Szeles, Annamária Drexler, Dániel András Sápi, Johanna Harmati, Istv́an Kovács, Levente |
| Copyright Year | 2014 |
| 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 effects of parameter perturbations and uncertainties while keeping the daily and total inhibitor inlet under a given limit. |
| Starting Page | 29 |
| Ending Page | 36 |
| Page Count | 8 |
| File Format | PDF HTM / HTML |
| DOI | 10.3311/PPee.7030 |
| Alternate Webpage(s) | https://pp.bme.hu/eecs/article/download/7030/6339 |
| Alternate Webpage(s) | http://real.mtak.hu/27805/1/7030_12031_1_PB_u.pdf |
| Alternate Webpage(s) | https://doi.org/10.3311/PPee.7030 |
| Volume Number | 58 |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |