Influence of the Antigen Pattern Vector on the Dynamics in a Perceptron-Based Artificial Immune - Tumour- Ecosystem During and After Radiation Therapy

Scheidegger S, Barba SM, Fellermann HM, Gaipl U (2022)

Publication Type: Conference contribution

Publication year: 2022

Journal

Communications in Computer and Information Science Springer Verlag

Publisher: Springer Science and Business Media Deutschland GmbH

Book Volume: 1722 CCIS

Pages Range: 195-206

Conference Proceedings Title: Communications in Computer and Information Science

Event location: Winterthur, CHE

ISBN: 9783031239281

DOI: 10.1007/978-3-031-23929-8_19

Abstract

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.

Authors with CRIS profile

Udo Gaipl Department of Radiation Oncology

Involved external institutions

Zürcher Hochschule für Angewandte Wissenschaften (ZHAW) CH Switzerland (CH) Newcastle University GB United Kingdom (GB)

How to cite

APA:

Scheidegger, S., Barba, S.M., Fellermann, H.M., & Gaipl, U. (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 Josef Schneider, Rudolf Marcel Füchslin, Mathias Sebastian Weyland, Dandolo Flumini, Johannes Josef Schneider, Rudolf Marcel Füchslin (Eds.), Communications in Computer and Information Science (pp. 195-206). Winterthur, CHE: Springer Science and Business Media Deutschland GmbH.

MLA:

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." Proceedings of the 15th International Workshop on Artificial Life and Evolutionary Computation, WIVACE 2021, Winterthur, CHE Ed. Johannes Josef Schneider, Rudolf Marcel Füchslin, Mathias Sebastian Weyland, Dandolo Flumini, Johannes Josef Schneider, Rudolf Marcel Füchslin, Springer Science and Business Media Deutschland GmbH, 2022. 195-206.

BibTeX: Download