Multiscale Computing in Systems Medicine: a Brief Reflection

Huiru Zheng, Jyotsna Talreja Wassan, Mihnea Moisescu, Lacramioara Stoicu-Tivadar, Joao Luis de Miranda, Mihaela Crisan-Vida, Ioan Sacala, Almir Badnjevic, Ivan Chorbev, Boro Jakimovski

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)

Abstract

Today’s modelling approaches in Systems Medicine are increasingly multiscale, containing two or more submodels, where each operates on different temporal and/or spatial scales. In addition, as these models become increasingly sophisticated, they tend to be run as multiscale computing applications using computational infrastructures such as clusters, supercomputers, grids or clouds. Constructing, validating and deploying such applications is far from trivial, and communities in different scientific disciplines have chosen very diverse approaches to address these challenges. Within this paper we reflect on the use of Multiscale Computing within the context of Systems Medicine. Multiscale Computing is widely applied within this area, and instead of summarizing the field as a whole we will highlight a set of challenges that we believe are of key relevance to the Systems Medicine community.
Original languageEnglish
Title of host publication2018 IEEE International Conference on Bioinformatics and Biomedicine(BIBM 2018)
PublisherIEEE
Pages2190-2195
Number of pages5
ISBN (Electronic)978-1-5386-5488-0
DOIs
Publication statusPublished - 1 Dec 2018

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