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 JoshiKarim 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 journalReview articlepeer-review

146 Downloads (Pure)


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 languageEnglish
Pages (from-to)2-50
Number of pages49
JournalNetwork and Systems Medicine
Issue number1
Early online date25 Feb 2021
Publication statusPublished (in print/issue) - 25 Feb 2021

Bibliographical note

© Massimiliano Zanin et al., 2021; Published by Mary Ann Liebert, Inc.


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


Dive into the research topics of 'An Early Stage Researcher’s Primer on Systems Medicine Terminology'. Together they form a unique fingerprint.

Cite this