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 |
| Early online date | 25 Feb 2021 |
| DOIs | |
| Publication status | Published (in print/issue) - 25 Feb 2021 |
Bibliographical note
© Massimiliano Zanin et al., 2021; Published by Mary Ann Liebert, Inc.UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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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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Dive into the research topics of 'An Early Stage Researcher’s Primer on Systems Medicine Terminology'. Together they form a unique fingerprint.Student theses
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