loading
Papers Papers/2020

Research.Publish.Connect.

Paper

Authors: David Nettleton 1 ; Vladimir Estivill-Castro 2 and Enrique Jiménez 3

Affiliations: 1 Department of Information and Communications Technology (DTIC), Universitat Pompeu Fabra, Spain ; 2 Department of Information and Communications Technology (DTIC), Universitat Pompeu Fabra, Spain, School of ICT, Griffith University, Brisbane, Australia ; 3 Institut d’Investigació Biomèdica de Bellvitge, Barcelona, Spain

ISBN: 978-989-758-395-7

ISSN: 2184-433X

Keyword(s): Simulation, Multi-agent Systems, Immunology, Cancer Cells.

Abstract: There is exciting news in recent developments suggesting the potential to treat some human cancers by stimulating the patients own immune system. However, there is still much to understand; therefore, modelling the battle between those cells that are constituents of the human immune system against tumorous cells can significantly provide insights as mathematical modelling has done regarding the immune system behaviour against virus infections. In this paper we innovate in two directions. First, we move the modelling of immune struggles from the sphere of ordinary-differential equation models to the modelling by multi-agent simulations. We highlight the advantages of the multi-agent simulation, for example the consideration of elaborate spatial proximity interactions. Secondly, we move away from the realm of infectious diseases to the complex modelling of the stimulation of T-cells and their participation in fighting cancerous cell tumours.

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 3.236.231.14

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Nettleton, D.; Estivill-Castro, V. and Jiménez, E. (2020). Multi-agent Modeling Simulation of In-vitro T-cells for Immunologic Alternatives to Cancer Treatment.In Proceedings of the 12th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART, ISBN 978-989-758-395-7, pages 169-178. DOI: 10.5220/0008915601690178

@conference{icaart20,
author={David Nettleton. and Vladimir Estivill{-}Castro. and Enrique Jiménez.},
title={Multi-agent Modeling Simulation of In-vitro T-cells for Immunologic Alternatives to Cancer Treatment},
booktitle={Proceedings of the 12th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART,},
year={2020},
pages={169-178},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0008915601690178},
isbn={978-989-758-395-7},
}

TY - CONF

JO - Proceedings of the 12th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART,
TI - Multi-agent Modeling Simulation of In-vitro T-cells for Immunologic Alternatives to Cancer Treatment
SN - 978-989-758-395-7
AU - Nettleton, D.
AU - Estivill-Castro, V.
AU - Jiménez, E.
PY - 2020
SP - 169
EP - 178
DO - 10.5220/0008915601690178

Login or register to post comments.

Comments on this Paper: Be the first to review this paper.