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dc.contributor.author
Campetelli, Germán  
dc.contributor.author
Lombarte, Mercedes  
dc.contributor.author
Basualdo, Marta Susana  
dc.contributor.author
Rigalli, Alfredo  
dc.date.available
2017-12-01T12:51:08Z  
dc.date.issued
2013-06  
dc.identifier.citation
Campetelli, Germán; Lombarte, Mercedes; Basualdo, Marta Susana; Rigalli, Alfredo; Scaling the endocrine system from rats to humans; Elsevier; Computer Aided Chemical Engineering; 32; 6-2013; 145-150  
dc.identifier.issn
1570-7946  
dc.identifier.uri
http://hdl.handle.net/11336/29422  
dc.description.abstract
As a common laboratory practice rats are studied as biological models for understanding several human’s diseases. This work is focused on studying the endocrine behavior to obtain a proper in silico healthy and diabetic rat which would be able to compare well with the experimental data. After this, the expectations are to get valuable insight to quantify the analogies with humans and to determine a realistic scale-up between both, humans and rats. With this purpose the scale-up procedure proposed in Hall et al. [2012] is taken into account. In this context, the well-known model of healthy subject given by Sorensen [1985] was proper to implement the scale-up methodology. Therefore, the main contribution of this work is to present the preliminary procedure of the scale-up focused on the specific problem of diabetes Mellitus. An intensive search in the literature had to be done to perform the simulations. Hence, several results are included and confronted with experimental data. These results will be useful to the pre-clinical testing of control algorithms with rats to be extrapolated to human beings  
dc.format
application/pdf  
dc.language.iso
eng  
dc.publisher
Elsevier  
dc.rights
info:eu-repo/semantics/openAccess  
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/  
dc.subject
Endocrine System Model  
dc.subject
Scale-Up  
dc.subject
Rats  
dc.subject
Humans  
dc.subject
Experiments  
dc.subject.classification
Ciencias de la Computación  
dc.subject.classification
Ciencias de la Computación e Información  
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CIENCIAS NATURALES Y EXACTAS  
dc.title
Scaling the endocrine system from rats to humans  
dc.type
info:eu-repo/semantics/article  
dc.type
info:ar-repo/semantics/artículo  
dc.type
info:eu-repo/semantics/publishedVersion  
dc.date.updated
2017-07-28T18:01:06Z  
dc.journal.volume
32  
dc.journal.pagination
145-150  
dc.journal.pais
Países Bajos  
dc.journal.ciudad
Amsterdan  
dc.description.fil
Fil: Campetelli, Germán. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Rosario. Centro Internacional Franco Argentino de Ciencias de la Información y de Sistemas. Universidad Nacional de Rosario. Centro Internacional Franco Argentino de Ciencias de la Información y de Sistemas; Argentina. Universidad Tecnológica Nacional; Argentina  
dc.description.fil
Fil: Lombarte, Mercedes. Universidad Nacional de Rosario. Facultad de Ciencias Médicas. Laboratorio de Biología Ósea; Argentina  
dc.description.fil
Fil: Basualdo, Marta Susana. Universidad Tecnológica Nacional; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Rosario. Centro Internacional Franco Argentino de Ciencias de la Información y de Sistemas. Universidad Nacional de Rosario. Centro Internacional Franco Argentino de Ciencias de la Información y de Sistemas; Argentina  
dc.description.fil
Fil: Rigalli, Alfredo. Universidad Nacional de Rosario. Facultad de Ciencias Médicas. Laboratorio de Biología Ósea; Argentina  
dc.journal.title
Computer Aided Chemical Engineering  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/http://www.sciencedirect.com/science/article/pii/B9780444632340500257  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1016/B978-0-444-63234-0.50025-7