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

doi:10.1109/BIBM.2018.8621361

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 proceeding › Conference contribution › peer-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 language	English
Title of host publication	2018 IEEE International Conference on Bioinformatics and Biomedicine(BIBM 2018)
Publisher	IEEE
Pages	2190-2195
Number of pages	5
ISBN (Electronic)	978-1-5386-5488-0
DOIs	https://doi.org/10.1109/BIBM.2018.8621361
Publication status	Published (in print/issue) - 1 Dec 2018

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Zheng, H., Wassan, J. T., Moisescu, M., Stoicu-Tivadar, L., Luis de Miranda, J., Crisan-Vida, M., Sacala, I., Badnjevic, A., Chorbev, I., & Jakimovski, B. (2018). Multiscale Computing in Systems Medicine: a Brief Reflection. In 2018 IEEE International Conference on Bioinformatics and Biomedicine(BIBM 2018) (pp. 2190-2195). IEEE. https://doi.org/10.1109/BIBM.2018.8621361

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abstract = "Today{\textquoteright}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.",

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AU - Stoicu-Tivadar, Lacramioara

AU - Luis de Miranda, Joao

AU - Crisan-Vida, Mihaela

AU - Sacala, Ioan

AU - Badnjevic, Almir

AU - Chorbev, Ivan

AU - Jakimovski, Boro

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AB - 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.

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Multiscale Computing in Systems Medicine: a Brief Reflection

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