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Artículo

Scaling the endocrine system from rats to humans

Campetelli, GermánIcon ; Lombarte, MercedesIcon ; Basualdo, Marta Susana; Rigalli, AlfredoIcon
Fecha de publicación: 06/2013
Editorial: Elsevier
Revista: Computer Aided Chemical Engineering
ISSN: 1570-7946
Idioma: Inglés
Tipo de recurso: Artículo publicado
Clasificación temática:
Ciencias de la Computación

Resumen

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
Palabras clave: Endocrine System Model , Scale-Up , Rats , Humans , Experiments
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info:eu-repo/semantics/openAccess Excepto donde se diga explícitamente, este item se publica bajo la siguiente descripción: Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Unported (CC BY-NC-SA 2.5)
Identificadores
URI: http://hdl.handle.net/11336/29422
URL: http://www.sciencedirect.com/science/article/pii/B9780444632340500257
DOI: http://dx.doi.org/10.1016/B978-0-444-63234-0.50025-7
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Articulos(CCT - ROSARIO)
Articulos de CTRO.CIENTIFICO TECNOL.CONICET - ROSARIO
Citación
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
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