An Early Stage Researcher's Primer on Systems Medicine Terminology

Massimiliano Zanin; Nadim A A Aitya; José Basílio; 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; Su Yang; Xin Zou; Harald H H W Schmidt

doi:10.1089/nsm.2020.0003

An Early Stage Researcher's Primer on Systems Medicine Terminology

Massimiliano Zanin^*, Nadim A A Aitya, José Basílio, 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 JoshiKarim 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, Su Yang, Xin Zou, Harald H H W Schmidt

^*Corresponding author for this work

Research output: Contribution to journal › (Systematic) Review article › peer-review

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 - Feb 2021

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10.1089/nsm.2020.0003Licence: CC BY

Cite this

Zanin, M., Aitya, N. A. A., Basílio, J., Baumbach, J., Benis, A., Behera, C. K., Bucholc, M., Castiglione, F., Chouvarda, I., Comte, B., Dao, T.-T., Ding, X., Pujos-Guillot, E., Filipovic, N., Finn, D. P., Glass, D. H., Harel, N., Iesmantas, T., Ivanoska, I., ... Schmidt, H. H. H. W. (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{317056c0250f428cb79988610ec1a9b8,

title = "An Early Stage Researcher'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.",

author = "Massimiliano Zanin and Aitya, {Nadim A A} and Jos{\'e} Bas{\'i}lio and Jan Baumbach and Arriel Benis and Behera, {Chandan K} 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 Finn, {David P} and Glass, {David H} and Nissim Harel and Tomas Iesmantas and Ilinka Ivanoska and Alok Joshi and Boudjeltia, {Karim Zouaoui} and Badr Kaoui and Daman Kaur and Maguire, {Liam P} and McClean, {Paula L} and Niamh McCombe and {de Miranda}, {Jo{\~a}o Lu{\'i}s} and Moisescu, {Mihnea Alexandru} and Francesco Pappalardo and Annikka Polster and Girijesh Prasad and Damjana Rozman and Ioan Sacala and Sanchez-Bornot, {Jose M} and Schmid, {Johannes A} and Trevor Sharp and Jordi Sol{\'e}-Casals and Vojt{\v e}ch Spiwok and Spyrou, {George M} and Egils Stalidzans and Bla{\v z} 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 Haiying Wang and Hui Wang and Steven Watterson and KongFatt Wong-Lin and Su Yang and Xin Zou and Schmidt, {Harald H H W}",

year = "2021",

month = feb,

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, Aitya, NAA, Basílio, J, Baumbach, J, Benis, A, Behera, CK, Bucholc, M, Castiglione, F, Chouvarda, I, Comte, B, Dao, T-T, Ding, X, Pujos-Guillot, E, Filipovic, N, Finn, DP, Glass, DH, Harel, N, Iesmantas, T, Ivanoska, I, Joshi, A, Boudjeltia, KZ, Kaoui, B, Kaur, D, Maguire, LP, McClean, PL, McCombe, N, de Miranda, JL, Moisescu, MA, Pappalardo, F, Polster, A, Prasad, G, Rozman, D, Sacala, I, Sanchez-Bornot, JM, Schmid, JA, Sharp, T, Solé-Casals, J, Spiwok, V, Spyrou, GM, Stalidzans, E, Stres, B, Sustersic, T, Symeonidis, I, Tieri, P, Todd, S, Van Steen, K, Veneva, M, Wang, D-H, Wang, H, Wang, H, Watterson, S, Wong-Lin, K, Yang, S, Zou, X & Schmidt, HHHW 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 - Aitya, Nadim A A

AU - Basílio, José

AU - Baumbach, Jan

AU - Benis, Arriel

AU - Behera, Chandan K

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 P

AU - Glass, David H

AU - Harel, Nissim

AU - Iesmantas, Tomas

AU - Ivanoska, Ilinka

AU - Joshi, Alok

AU - Boudjeltia, Karim Zouaoui

AU - Kaoui, Badr

AU - Kaur, Daman

AU - Maguire, Liam P

AU - McClean, Paula L

AU - McCombe, Niamh

AU - de Miranda, João Luís

AU - Moisescu, Mihnea Alexandru

AU - Pappalardo, Francesco

AU - Polster, Annikka

AU - Prasad, Girijesh

AU - Rozman, Damjana

AU - Sacala, Ioan

AU - Sanchez-Bornot, Jose M

AU - Schmid, Johannes A

AU - Sharp, Trevor

AU - Solé-Casals, Jordi

AU - Spiwok, Vojtěch

AU - Spyrou, George M

AU - Stalidzans, Egils

AU - Stres, Blaž

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

AU - Wang, Hui

AU - Watterson, Steven

AU - Wong-Lin, KongFatt

AU - Yang, Su

AU - Zou, Xin

AU - Schmidt, Harald H H W

PY - 2021/2

Y1 - 2021/2

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.

U2 - 10.1089/nsm.2020.0003

DO - 10.1089/nsm.2020.0003

M3 - (Systematic) Review article

C2 - 33659919

SN - 2690-5949

VL - 4

SP - 2

EP - 50

JO - Network and Systems Medicine

JF - Network and Systems Medicine

IS - 1

ER -