%0 Journal Article
%A Femia, Pedro
%A Melchor, Juan
%A Carmona-Saez, Pedro
%T Editorial: Mathematical and computational methods in physiology.
%D 2022
%@ 1664-042X
%U http://hdl.handle.net/10668/20717
%X Physiology constitutes a broad discipline that covers the study of the differenthierarchical levels of living organisms, from the cellular one to higher levels, such astissues or organs. The articles of this monography provide an excellent example of thetelescopic capacity of this discipline. A common nexus among all these levels is thatphysiological systems are epistemologically complex. This implies that their studyrequires a necessary reduction of the complexity in order to elaborate a formal andmanageable description of the system, giving rise to a model. Therefore, we need todevelop 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 relationshipsamong a high number of variables that involve many parameters of unknown value.
%K biostatistical methods
%K computational methods
%K machine learning
%K mathematical physiology
%K modelling
%K omics integration
%~