An Early Stage Researcher’s Primer on Systems Medicine Terminology

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

doi:10.1089/nsm.2020.0003

An Early Stage Researcher’s Primer on Systems Medicine Terminology

Massimiliano Zanin
, Nadim Atiya
, Jose Basilio
, Jan Baumbach
, Arriel Benis
, Chandan Behera
, Magda Bucholc
, Filippo Castiglione
, Ioanna Chouvarda
, Blandine Comte
, Tien-Tuan Dao
, Xuemei Ding
, Estelle Pujos-Guillot
, Nenad Filipovic
, David Finn
, David H. Glass
, Nissim Harel
, Tomas Iesmantas
, Ilinka Ivanoska
, Alok Joshi

Karim Boudjeltia, Badr Kaoui, Daman Kaur, Liam Maguire, Paula McClean, Niamh McCombe, Joao Luis de Miranda, Mihnea Moisescu, Francesco Pappalardo, Annikka Polster, Girijesh Prasad, Damjana Rozman, Ioan Sacala, Jose Sanchez Bornot, Johannes Schmid, Trevor Sharp, Jordi Solé-Casals, Vojtěch Spiwok, George Spyrou, Egils Stalidzans, Blaz Stres, Tijana Sustersic, Ioannis Symeonidis, Paolo Tieri, Stephen Todd, Kristel van Steen, Milena Veneva, Da-Hui Wang, Haiying / HY Wang, Hui Wang, Steven Watterson, Su Yang, Xin Zou, KongFatt Wong-Lin, Harald Schmidt

Research output: Contribution to journal › Article › peer-review

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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.

Original language	English
Pages (from-to)	2-50
Number of pages	49
Journal	Network and Systems Medicine
Volume	4
Issue number	1
DOIs	https://doi.org/10.1089/nsm.2020.0003
Publication status	Published - 25 Feb 2021

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Keywords

Genetics
Graphs and Networks
machine learning
medicine
Systems medicine
multi-scale modelling
multi-scale data science

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10.1089/nsm.2020.0003Licence: CC BY

An Early Stage Researcher’s Primer on Systems Medicine Terminology
Copyright 2021 the authors. This is an open access article published under a Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium, provided the author and source are cited.
Final published version, 3.32 MBLicence: CC BY

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Zanin, M., Atiya, N., Basilio, J., Baumbach, J., Benis, A., Behera, C., Bucholc, M., Castiglione, F., Chouvarda, I., Comte, B., Dao, T.-T., Ding, X., Pujos-Guillot, E., Filipovic, N., Finn, D., Glass, D. H., Harel, N., Iesmantas, T., Ivanoska, I., ... Schmidt, H. (2021). An Early Stage Researcher’s Primer on Systems Medicine Terminology. Network and Systems Medicine, 4(1), 2-50. https://doi.org/10.1089/nsm.2020.0003

@article{c31fc47edb1a456db2696c8e8cb2890f,

title = "An Early Stage Researcher{\textquoteright}s Primer on Systems Medicine Terminology",

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 = "Genetics, Graphs and Networks, machine learning, medicine, Systems medicine, multi-scale modelling, multi-scale data science",

author = "Massimiliano Zanin and Nadim Atiya and Jose Basilio and Jan Baumbach and Arriel Benis and Chandan Behera and Magda Bucholc and Filippo Castiglione and Ioanna Chouvarda and Blandine Comte and Tien-Tuan Dao and Xuemei Ding and Estelle Pujos-Guillot and Nenad Filipovic and David Finn and Glass, \{David H.\} and Nissim Harel and Tomas Iesmantas and Ilinka Ivanoska and Alok Joshi and Karim Boudjeltia and Badr Kaoui and Daman Kaur and Liam Maguire and Paula McClean and Niamh McCombe and \{Luis de Miranda\}, Joao and Mihnea Moisescu and Francesco Pappalardo and Annikka Polster and Girijesh Prasad and Damjana Rozman and Ioan Sacala and \{Sanchez Bornot\}, Jose and Johannes Schmid and Trevor Sharp and Jordi Sol{\'e}-Casals and Vojt{\v e}ch Spiwok and George Spyrou and Egils Stalidzans and Blaz Stres and Tijana Sustersic and Ioannis Symeonidis and Paolo Tieri and Stephen Todd and \{van Steen\}, Kristel and Milena Veneva and Da-Hui Wang and Wang, \{Haiying / HY\} and Hui Wang and Steven Watterson and Su Yang and Xin Zou and KongFatt Wong-Lin and Harald Schmidt",

year = "2021",

month = feb,

day = "25",

doi = "10.1089/nsm.2020.0003",

language = "English",

volume = "4",

pages = "2--50",

journal = "Network and Systems Medicine",

issn = "2690-5949",

publisher = "Mary Ann Liebert Inc.",

number = "1",

}

Zanin, M, Atiya, N, Basilio, J, Baumbach, J, Benis, A, Behera, C, Bucholc, M, Castiglione, F, Chouvarda, I, Comte, B, Dao, T-T, Ding, X, Pujos-Guillot, E, Filipovic, N, Finn, D, Glass, DH, Harel, N, Iesmantas, T, Ivanoska, I, Joshi, A, Boudjeltia, K, Kaoui, B, Kaur, D, Maguire, L, McClean, P, McCombe, N, Luis de Miranda, J, Moisescu, M, Pappalardo, F, Polster, A, Prasad, G, Rozman, D, Sacala, I, Sanchez Bornot, J, Schmid, J, Sharp, T, Solé-Casals, J, Spiwok, V, Spyrou, G, Stalidzans, E, Stres, B, Sustersic, T, Symeonidis, I, Tieri, P, Todd, S, van Steen, K, Veneva, M, Wang, D-H, Wang, HHY, Wang, H, Watterson, S, Yang, S, Zou, X, Wong-Lin, K & Schmidt, H 2021, 'An Early Stage Researcher’s Primer on Systems Medicine Terminology', Network and Systems Medicine, vol. 4, no. 1, pp. 2-50. https://doi.org/10.1089/nsm.2020.0003

TY - JOUR

T1 - An Early Stage Researcher’s Primer on Systems Medicine Terminology

AU - Zanin, Massimiliano

AU - Atiya, Nadim

AU - Basilio, Jose

AU - Baumbach, Jan

AU - Benis, Arriel

AU - Behera, Chandan

AU - Bucholc, Magda

AU - Castiglione, Filippo

AU - Chouvarda, Ioanna

AU - Comte, Blandine

AU - Dao, Tien-Tuan

AU - Ding, Xuemei

AU - Pujos-Guillot, Estelle

AU - Filipovic, Nenad

AU - Finn, David

AU - Glass, David H.

AU - Harel, Nissim

AU - Iesmantas, Tomas

AU - Ivanoska, Ilinka

AU - Joshi, Alok

AU - Boudjeltia, Karim

AU - Kaoui, Badr

AU - Kaur, Daman

AU - Maguire, Liam

AU - McClean, Paula

AU - McCombe, Niamh

AU - Luis de Miranda, Joao

AU - Moisescu, Mihnea

AU - Pappalardo, Francesco

AU - Polster, Annikka

AU - Prasad, Girijesh

AU - Rozman, Damjana

AU - Sacala, Ioan

AU - Sanchez Bornot, Jose

AU - Schmid, Johannes

AU - Sharp, Trevor

AU - Solé-Casals, Jordi

AU - Spiwok, Vojtěch

AU - Spyrou, George

AU - Stalidzans, Egils

AU - Stres, Blaz

AU - Sustersic, Tijana

AU - Symeonidis, Ioannis

AU - Tieri, Paolo

AU - Todd, Stephen

AU - van Steen, Kristel

AU - Veneva, Milena

AU - Wang, Da-Hui

AU - Wang, Haiying / HY

AU - Wang, Hui

AU - Watterson, Steven

AU - Yang, Su

AU - Zou, Xin

AU - Wong-Lin, KongFatt

AU - Schmidt, Harald

PY - 2021/2/25

Y1 - 2021/2/25

N2 - 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.

AB - 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.

KW - Genetics

KW - Graphs and Networks

KW - machine learning

KW - medicine

KW - Systems medicine

KW - multi-scale modelling

KW - multi-scale data science

U2 - 10.1089/nsm.2020.0003

DO - 10.1089/nsm.2020.0003

M3 - Article

SN - 2690-5949

VL - 4

SP - 2

EP - 50

JO - Network and Systems Medicine

JF - Network and Systems Medicine

IS - 1

ER -

An Early Stage Researcher’s Primer on Systems Medicine Terminology

Abstract

UN SDGs

Keywords

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