Zanin, Massimiliano, Aitya, Nadim A.A., Basilio, José, Baumbach, Jan, Benis, Arriel, Behera, Chandan K., Bucholc, Magda, Castiglione, Filippo, Chouvarda, Ioanna, Comte, Blandine, Dao, Tien-Tuan, Ding, Xuemei, Pujos-Guillot, Estelle, Filipovic, Nenad, Finn, David P., Glass, David H., Harel, Nissim, Iesmantas, Tomas, Ivanoska, Ilinka, Joshi, Alok, Boudjeltia, Karim Zouaoui, Kaoui, Badr, Kaur, Daman, Maguire, Liam P., McClean, Paula L., McCombe, Niamh, de Miranda, João Luís, Moisescu, Mihnea Alexandru, Pappalardo, Francesco, Polster, Annikka, Prasad, Girijesh, Rozman, Damjana, Sacala, Ioan, Sanchez-Bornot, Jose M., Schmid, Johannes A., Sharp, Trevor, Solé-Casals, Jordi, Spiwok, Vojtěch, Spyrou, George M., Stalidzans, Egils, Stres, Blaž, Sustersic, Tijana, Symeonidis, Ioannis, Tieri, Paolo, Todd, Stephen, Van Steen, Kristel, Veneva, Milena, Wang, Da-Hui, Wang, Haiying, Wang, Hui, Watterson, Steven, Wong-Lin, KongFatt, Yang, Su ORCID: https://orcid.org/0000-0002-6618-7483, Zou, Xin and Schmidt, Harald H.H.W. (2021) An early stage researcher's primer on systems medicine terminology. Network and Systems Medicine, 4 (1). pp. 2-50.

Preview

PDF nsm.2020.0003.pdf - Published Version Available under License Creative Commons Attribution. Download (3MB) | Preview

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.

Item Type:	Article
Identifier:	10.1089/nsm.2020.0003
Additional Information:	© Massimiliano Zanin et al., 2021; Published by Mary Ann Liebert, Inc.
Keywords:	systems medicine, multiscale modeling, multiscale data science
Subjects:	Computing Medicine and health
Related URLs:	Publisher
Depositing User:	Su Yang
Date Deposited:	01 Jun 2021 16:02
Last Modified:	04 Nov 2024 11:45
URI:	https://repository.uwl.ac.uk/id/eprint/7919

Downloads

Actions (login required)

View Item