Publication: Editorial: Mathematical and computational methods in physiology.
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Identifiers
Date
2022-07-07
Authors
Femia, Pedro
Melchor, Juan
Carmona-Saez, Pedro
Advisors
Journal Title
Journal ISSN
Volume Title
Publisher
Frontiers Research Foundation
Abstract
Physiology constitutes a broad discipline that covers the study of the different
hierarchical levels of living organisms, from the cellular one to higher levels, such as
tissues or organs. The articles of this monography provide an excellent example of the
telescopic capacity of this discipline. A common nexus among all these levels is that
physiological systems are epistemologically complex. This implies that their study
requires a necessary reduction of the complexity in order to elaborate a formal and
manageable description of the system, giving rise to a model. Therefore, we need to
develop mathematical models that represent the original system instead of studying it.
Nevertheless, even this representation can present an unmanageable degree of complexity.
Typically, the description of the physiological processes relies on non-linear relationships
among a high number of variables that involve many parameters of unknown value.
Description
MeSH Terms
DeCS Terms
Aprendizaje automático
Fisiología
Métodos
Fisiología
Métodos
CIE Terms
Keywords
biostatistical methods, computational methods, machine learning, mathematical physiology, modelling, omics integration
Citation
Femia P, Melchor J, Carmona-Saez P. Editorial: Mathematical and computational methods in physiology. Front Physiol. 2022 Aug 8;13:975075.