Journal article 1038 views 210 downloads
An Early Stage Researcher's Primer on Systems Medicine Terminology
Network and Systems Medicine, Volume: 4, Issue: 1, Pages: 2 - 50
Swansea University Author:
Scott Yang
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Copyright: Massimiliano Zanin et al., 2021. This Open Access article is distributed under the terms of the Creative Commons License
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DOI (Published version): 10.1089/nsm.2020.0003
Abstract
Background: Systems Medicine is a novel approach to medicine, that is, an interdisciplinary field that considers the human body as a system, composed of multiple parts and of complex relationships at multiple levels, and further integrated into an environment. Exploring Systems Medicine implies unde...
| Published in: | Network and Systems Medicine |
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| ISSN: | 2690-5949 |
| Published: |
Mary Ann Liebert Inc
2021
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| Online Access: |
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| URI: | https://cronfa.swan.ac.uk/Record/cronfa58942 |
| Abstract: |
Background: Systems Medicine is a novel approach to medicine, that is, an interdisciplinary field that considers the human body as a system, composed of multiple parts and of complex relationships at multiple levels, and further integrated into an environment. Exploring Systems Medicine implies understanding and combining concepts coming from diametral different fields, including medicine, biology, statistics, modeling and simulation, and data science. Such heterogeneity leads to semantic issues, which may slow down implementation and fruitful interaction between these highly diverse fields.Methods: In this review, we collect and explain more than100 terms related to Systems Medicine. These include both modeling and data science terms and basic systems medicine terms, along with some synthetic definitions, examples of applications, and lists of relevant references.Results: This glossary aims at being a first aid kit for the Systems Medicine researcher facing an unfamiliar term, where he/she can get a first understanding of them, and, more importantly, examples and references for digging into the topic. |
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| Keywords: |
systems medicine; multiscale modeling; multiscale data science |
| College: |
Faculty of Science and Engineering |
| Funders: |
This article is based on work from COST Action OpenMultiMed (CA15120), supported by COST (European Cooperation in Science and Technology). COST is funded by the Horizon 2020 Framework Programme of the European Union.
J.L.M. thanks Instituto Politécnico de Portalegre, CERENA-Centro de Recursos Naturais e Ambiente, and acknowledges the support of FCT-Fundação para a Ciência e a Tecnologia under the strategic project UID/ECI/04028/2020.
J.A.S. and J.B. obtained financial support from the Austrian Science Fund FWF (projects SFB-F54 and TCS-46).
Participation of V.S. in the project was supported by the Czech Ministry of Education, Youth and Sports (LTC18074).
J.S.-C. acknowledges the support of the UVic-UCC (grant R0947) and the Ministry of Economic Affairs and Competitiveness of Spain (grant TEC2016-77791-C4-2-R).
D.R. acknowledges the support of Slovenian Research Agency (P1-0390 and MRIC-ELIXIR).
Part of the research is supported by the SILICOFCM project that has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement number 777204. This article reflects only the author's view. The Commission is not responsible for any use that may be made of the information it contains. |
| Issue: |
1 |
| Start Page: |
2 |
| End Page: |
50 |

