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An Early Stage Researcher's Primer on Systems Medicine Terminology

Massimiliano Zanin, Nadim A.A. Aitya, José Basilio, Jan Baumbach, Arriel Benis, Chandan K. Behera, Magda Bucholc, Filippo Castiglione, Ioanna Chouvarda, Blandine Comte, Tien-Tuan Dao, Xuemei Ding, Estelle Pujos-Guillot, Nenad Filipovic, David P. Finn, David H. Glass, Nissim Harel, Tomas Iesmantas, Ilinka Ivanoska, Alok Joshi, Karim Zouaoui Boudjeltia, Badr Kaoui, Daman Kaur, Liam P. Maguire, Paula L. McClean, Niamh McCombe, João Luís de Miranda, Mihnea Alexandru Moisescu, Francesco Pappalardo, Annikka Polster, Girijesh Prasad, Damjana Rozman, Ioan Sacala, Jose M. Sanchez-Bornot, Johannes A. Schmid, Trevor Sharp, Jordi Solé-Casals, Vojtěch Spiwok, George M. Spyrou, Egils Stalidzans, Blaž Stres, Tijana Sustersic, Ioannis Symeonidis, Paolo Tieri, Stephen Todd, Kristel Van Steen, Milena Veneva, Da-Hui Wang, Haiying Wang, Hui Wang, Steven Watterson, KongFatt Wong-Lin, Scott Yang Orcid Logo, Xin Zou, Harald H.H.W. Schmidt

Network and Systems Medicine, Volume: 4, Issue: 1, Pages: 2 - 50

Swansea University Author: Scott Yang Orcid Logo

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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...

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Published in: Network and Systems Medicine
ISSN: 2690-5949
Published: Mary Ann Liebert Inc 2021
Online Access: Check full text

URI: https://cronfa.swan.ac.uk/Record/cronfa58942
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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.
Keywords: systems medicine; multiscale modeling; multiscale data science
College: Faculty of Science and Engineering
Issue: 1
Start Page: 2
End Page: 50

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