| Publikationstyp: | Konferenz: Paper |
| Art der Begutachtung: | Peer review (Publikation) |
| Titel: | Influence of the antigen pattern vector on the dynamics in a perceptron-based artificial immune - tumour- ecosystem during and after radiation therapy |
| Autor/-in: | Scheidegger, Stephan Mingo Barba, Sergio Fellermann, Harold Gaipl, Udo S. |
| et. al: | No |
| DOI: | 10.1007/978-3-031-23929-8_19 |
| Tagungsband: | Artificial Life and Evolutionary Computation |
| Herausgeber/-in des übergeordneten Werkes: | Schneider, Johannes J. Weyland, Mathias S. Flumini, Dandolo Füchslin, Rudolf M. |
| Seite(n): | 195 |
| Seiten bis: | 206 |
| Angaben zur Konferenz: | XV International Workshop on Artificial Life and Evolutionary Computation (WIVACE), Winterthur, Switzerland, 15-17 September 2021 |
| Erscheinungsdatum: | 2022 |
| Reihe: | Communications in Computer and Information Science |
| Reihenzählung: | 1722 |
| Verlag / Hrsg. Institution: | Springer |
| Verlag / Hrsg. Institution: | Cham |
| ISBN: | 978-3-031-23928-1 978-3-031-23929-8 |
| Sprache: | Englisch |
| Schlagwörter: | Immune system; Tumour ecosystem; Systems medicine; Perceptron; Antigen pattern; Anti-cancer therapy; Adaptive immune response |
| Fachgebiet (DDC): | 616: Innere Medizin und Krankheiten |
| Zusammenfassung: | Artificial immune-tumor ecosystems can serve as models to explore the complex tumor-host-immune – interactions in silico. This may contribute to a better understanding of the conditions leading to anti-cancer immune response in patients during anti-cancer therapy. For model development, it is important to identify an appropriate model structure which is suitable to mimic the behavior of real biological systems. In this study, the influence of the number of antigens in an artificial adaptive immune system onto an immune-tumor ecosystem during and after radiation therapy (RT) is investigated. For antigen pattern recognition, a perceptron is used. The simulated scenarios with 4, 9 and 12 antigens exhibit differences in the immune response, but in all cases, perceptron weights for host tissue evolve after RT into negative values, leading to an immune-suppressive effect. This effect results from the evolution of the populations in the ecosystem and the training of the perceptron. In conclusion, the response of the proposed artificial immune system is strongly dependent on the ecosystem dynamics, which seems to be the case for the real biological systems as well. |
| URI: | https://digitalcollection.zhaw.ch/handle/11475/27070 |
| Volltext Version: | Publizierte Version |
| Lizenz (gemäss Verlagsvertrag): | Lizenz gemäss Verlagsvertrag |
| Departement: | School of Engineering |
| Organisationseinheit: | Institut für Angewandte Mathematik und Physik (IAMP) |
| Publiziert im Rahmen des ZHAW-Projekts: | Hyperboost |
| Enthalten in den Sammlungen: | Publikationen School of Engineering |
Dateien zu dieser Ressource:
Es gibt keine Dateien zu dieser Ressource.
Zur Langanzeige
Scheidegger, S., Mingo Barba, S., Fellermann, H., & Gaipl, U. S. (2022). Influence of the antigen pattern vector on the dynamics in a perceptron-based artificial immune - tumour- ecosystem during and after radiation therapy [Conference paper]. In J. J. Schneider, M. S. Weyland, D. Flumini, & R. M. Füchslin (Eds.), Artificial Life and Evolutionary Computation (pp. 195–206). Springer. https://doi.org/10.1007/978-3-031-23929-8_19
Scheidegger, S. et al. (2022) ‘Influence of the antigen pattern vector on the dynamics in a perceptron-based artificial immune - tumour- ecosystem during and after radiation therapy’, in J.J. Schneider et al. (eds) Artificial Life and Evolutionary Computation. Cham: Springer, pp. 195–206. Available at: https://doi.org/10.1007/978-3-031-23929-8_19.
S. Scheidegger, S. Mingo Barba, H. Fellermann, and U. S. Gaipl, “Influence of the antigen pattern vector on the dynamics in a perceptron-based artificial immune - tumour- ecosystem during and after radiation therapy,” in Artificial Life and Evolutionary Computation, 2022, pp. 195–206. doi: 10.1007/978-3-031-23929-8_19.
SCHEIDEGGER, Stephan, Sergio MINGO BARBA, Harold FELLERMANN und Udo S. GAIPL, 2022. Influence of the antigen pattern vector on the dynamics in a perceptron-based artificial immune - tumour- ecosystem during and after radiation therapy. In: Johannes J. SCHNEIDER, Mathias S. WEYLAND, Dandolo FLUMINI und Rudolf M. FÜCHSLIN (Hrsg.), Artificial Life and Evolutionary Computation. Conference paper. Cham: Springer. 2022. S. 195–206. ISBN 978-3-031-23928-1
Scheidegger, Stephan, Sergio Mingo Barba, Harold Fellermann, and Udo S. Gaipl. 2022. “Influence of the Antigen Pattern Vector on the Dynamics in a Perceptron-Based Artificial Immune - Tumour- Ecosystem during and after Radiation Therapy.” Conference paper. In Artificial Life and Evolutionary Computation, edited by Johannes J. Schneider, Mathias S. Weyland, Dandolo Flumini, and Rudolf M. Füchslin, 195–206. Cham: Springer. https://doi.org/10.1007/978-3-031-23929-8_19.
Scheidegger, Stephan, et al. “Influence of the Antigen Pattern Vector on the Dynamics in a Perceptron-Based Artificial Immune - Tumour- Ecosystem during and after Radiation Therapy.” Artificial Life and Evolutionary Computation, edited by Johannes J. Schneider et al., Springer, 2022, pp. 195–206, https://doi.org/10.1007/978-3-031-23929-8_19.
Alle Ressourcen in diesem Repository sind urheberrechtlich geschützt, soweit nicht anderweitig angezeigt.