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Subject: Multiscale Computing; Systems Medicine; Ambient Assisted Living (AAL); Cloud Computing; Data Science; High Performance Computing (HPC); Internet of Things (IoT


Year: 2018


Type: Proceedings



Title: Multiscale computing in systems medicine: a brief reflection


Author: Zheng, Huiru
Author: Talreja Wassan, Jyotsna
Author: Alexandru Moisescu, Mihnea
Author: Stoicu-Tivadar, Lacramioara
Author: Miranda, João
Author: Crisan-Vida, Mihaela
Author: Stefan Sacala, Ioan
Author: Badnjevic, Almir
Author: Chorbev, Ivan
Author: Jakimovski, Boro



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 scientic disciplines have chosen very diverse approaches to address these challenges. Within this paper we reect 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 eld as a whole we will highlight a set of challenges that we believe are of key relevance to the Systems Medicine community.


Publisher: IEEE


Relation: 2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)



Identifier: oai:repository.ukim.mk:20.500.12188/23277
Identifier: http://hdl.handle.net/20.500.12188/23277



TitleDateViews
Multiscale computing in systems medicine: a brief reflection201831