Open AccessAn Early Stage Researcher's Primer on Systems Medicine Terminology
Author(s) -
Massimiliano Zanin,
Nadim N. A. A. Aitya,
José Basílio,
Jan Baumbach,
Arriel Benis,
Chandan C. K. Behera,
Magda Bucholc,
Filippo Castiglione,
Ioanna Chouvarda,
Blandine Comte,
Tien Tuan Dao,
Xuemei Ding,
Estelle PujosGuillot,
Nenad Filipović,
David D. P. Finn,
David D. H. Glass,
Nissim Harel,
Tomas Iešmantas,
Ilinka Ivanoska,
Alok Joshi,
Karim Zouaoui Boudjeltia,
Badr Kaoui,
Daman Kaur,
Liam L. P. Maguire,
Paula P. L. McClean,
Niamh McCombe,
J. M. Miranda,
Mihnea Alexandru Moisescu,
Francesco Pappalardo,
Annikka Polster,
Girijesh Prasad,
Damjana Rozman,
Ioan Ștefan Sacală,
Jose J. M. Sanchez-Bornot,
Johannes A. Schmid,
Trevor Sharp,
Jordi Solé-Casals,
Vojtěch Spiwok,
George G. M. Spyrou,
Egils Stalidzāns,
Blaž Stres,
Tijana Šušteršič,
Ioannis Symeonidis,
Paolo Tieri,
Stephen Todd,
Kristel Van Steen,
Milena Veneva,
Dahui Wang,
Haiying Wang,
Hui Wang,
Steven Watterson,
KongFatt WongLin,
Su Yang,
Xin Zou,
Harald Schmidt
Publication year - 2021
Publication title -
network and systems medicine
Language(s) - English
Resource type - Journals
ISSN - 2690-5949
DOI - 10.1089/nsm.2020.0003
Subject(s) - terminology , glossary , computer science , data science , field (mathematics) , systems medicine , management science , systems biology , mathematics , bioinformatics , engineering , linguistics , biology , philosophy , pure mathematics
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.