An Early Stage Researcher's Primer on Systems Medicine Terminology
Open Access
- 1 February 2021
- journal article
- review article
- Published by SAGE Publications in Network and Systems Medicine
- Vol. 4 (1) , 2-50
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
This publication has 348 references indexed in Scilit:
- Network medicine: a network-based approach to human diseaseNature Reviews Genetics, 2010
- Network-level structural covariance in the developing brainProceedings of the National Academy of Sciences, 2010
- In silico models of cancerWIREs Mechanisms of Disease, 2010
- Agent‐based models in translational systems biologyWIREs Mechanisms of Disease, 2009
- The OBO Foundry: coordinated evolution of ontologies to support biomedical data integrationNature Biotechnology, 2007
- Characterization of complex networks: A survey of measurementsAdvances in Physics, 2007
- Complex networks: Structure and dynamicsPhysics Reports, 2006
- Gene set enrichment analysis: A knowledge-based approach for interpreting genome-wide expression profilesProceedings of the National Academy of Sciences, 2005
- Network biology: understanding the cell's functional organizationNature Reviews Genetics, 2004
- 'Metabonomics': understanding the metabolic responses of living systems to pathophysiological stimuli via multivariate statistical analysis of biological NMR spectroscopic dataXenobiotica, 1999