An Early Stage Researcher's Primer on Systems Medicine Terminology

An Early Stage Researcher's Primer on Systems Medicine Terminology. Zanin, M., Aitya, N. A., Basilio, J., Baumbach, J., Benis, A., Behera, C. K., Bucholc, M., Castiglione, F., Chouvarda, I., Comte, B., Dao, T., Ding, X., Pujos-Guillot, E., Filipovic, N., Finn, D. P., Glass, D. H., Harel, N., Iesmantas, T., Ivanoska, I., Joshi, A., Boudjeltia, K. Z., Kaoui, B., Kaur, D., Maguire, L. P., McClean, P. L., McCombe, N., de Miranda, J. L., Moisescu, M. A., Pappalardo, F., Polster, A., Prasad, G., Rozman, D., Sacala, I., Sanchez-Bornot, J. M., Schmid, J. A., Sharp, T., Solé-Casals, J., Spiwok, V., Spyrou, G. M., Stalidzans, E., Stres, B., Sustersic, T., Symeonidis, I., Tieri, P., Todd, S., Van Steen, K., Veneva, M., Wang, D., Wang, H., Wang, H., Watterson, S., Wong-Lin, K., Yang, S., Zou, X., & Schmidt, H. H. Network and Systems Medicine, 4(1):2–50, March, 2021. Publisher: Mary Ann Liebert, Inc., publishers

Paper doi abstract bibtex

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.

@article{zanin_early_2021,
	title = {An {Early} {Stage} {Researcher}'s {Primer} on {Systems} {Medicine} {Terminology}},
	volume = {4},
	url = {https://www.liebertpub.com/doi/10.1089/nsm.2020.0003},
	doi = {10.1089/nsm.2020.0003},
	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.},
	number = {1},
	urldate = {2022-07-18},
	journal = {Network and Systems Medicine},
	author = {Zanin, Massimiliano and Aitya, Nadim A.A. and Basilio, José and Baumbach, Jan and Benis, Arriel and Behera, Chandan K. and Bucholc, Magda and Castiglione, Filippo and Chouvarda, Ioanna and Comte, Blandine and Dao, Tien-Tuan and Ding, Xuemei and Pujos-Guillot, Estelle and Filipovic, Nenad and Finn, David P. and Glass, David H. and Harel, Nissim and Iesmantas, Tomas and Ivanoska, Ilinka and Joshi, Alok and Boudjeltia, Karim Zouaoui and Kaoui, Badr and Kaur, Daman and Maguire, Liam P. and McClean, Paula L. and McCombe, Niamh and de Miranda, João Luís and Moisescu, Mihnea Alexandru and Pappalardo, Francesco and Polster, Annikka and Prasad, Girijesh and Rozman, Damjana and Sacala, Ioan and Sanchez-Bornot, Jose M. and Schmid, Johannes A. and Sharp, Trevor and Solé-Casals, Jordi and Spiwok, Vojtěch and Spyrou, George M. and Stalidzans, Egils and Stres, Blaž and Sustersic, Tijana and Symeonidis, Ioannis and Tieri, Paolo and Todd, Stephen and Van Steen, Kristel and Veneva, Milena and Wang, Da-Hui and Wang, Haiying and Wang, Hui and Watterson, Steven and Wong-Lin, KongFatt and Yang, Su and Zou, Xin and Schmidt, Harald H.H.W.},
	month = mar,
	year = {2021},
	note = {Publisher: Mary Ann Liebert, Inc., publishers},
	keywords = {multiscale data science, multiscale modeling, systems medicine},
	pages = {2--50},
}

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