Colorectal tumour simulation using agent based modelling and high performance computing

Guiyeom Kang, Claudio Márquez, Ana Barat, Annette T. Byrne, Jochen H.M. Prehn, Joan Sorribes, Eduardo César

Research output: Contribution to journalArticleResearchpeer-review

13 Citations (Scopus)


© 2016 Elsevier B.V. 450,000 European citizens are diagnosed every year with colorectal cancer (CRC) and more than 230,000 succumb to the disease annually. For this reason, significant resources are dedicated to the identification of more effective therapies for this disease. However, classical assessment techniques for these treatments are slow and costly. Consequently, systems biology researchers at the Royal College of Surgeons in Ireland (RCSI) are developing computational agent-based models simulating tumour growth and treatment responses with the objective of speeding up the therapeutic development process while, at the same time, producing a tool for adapting treatments to patient-specific characteristics. However, the model complexity and the high number of agents to be simulated require a thorough optimisation of the process in order to execute realistic simulations of tumour growth on currently available platforms. We propose to apply the most advanced HPC techniques to achieve the efficient and realistic simulation of a virtual tissue model that mimics tumour growth or regression in space and time. These techniques combine extensions of the previously developed agent-based simulation software platform (FLAME) with autotuning capabilities and optimisation strategies for the current tumour model. Development of such a platform could advance the development of novel therapeutic approaches for the treatment of CRC which can also be applied other solid tumours.
Original languageEnglish
Pages (from-to)397-408
JournalFuture Generation Computer Systems
Publication statusPublished - 1 Feb 2017


  • Agent based modelling and simulation (ABMS)
  • Colorectal cancer (CRC)
  • High performance computing (HPC)
  • Load balancing


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