Please use this identifier to cite or link to this item:
http://hdl.handle.net/20.500.12188/23277
Title: | Multiscale computing in systems medicine: a brief reflection | Authors: | Zheng, Huiru Talreja Wassan, Jyotsna Alexandru Moisescu, Mihnea Stoicu-Tivadar, Lacramioara Miranda, João Crisan-Vida, Mihaela Stefan Sacala, Ioan Badnjevic, Almir Chorbev, Ivan Jakimovski, Boro |
Keywords: | Multiscale Computing; Systems Medicine; Ambient Assisted Living (AAL); Cloud Computing; Data Science; High Performance Computing (HPC); Internet of Things (IoT | Issue Date: | 3-Dec-2018 | Publisher: | IEEE | Conference: | 2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) | 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. | URI: | http://hdl.handle.net/20.500.12188/23277 |
Appears in Collections: | Faculty of Computer Science and Engineering: Conference papers |
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