A new minimal mathematical model of the endocrine system of normal rats validated against experimental data

As a common laboratory practice, rats are studied as biological models for understanding human physiology. Even though, with the advent of modern computer sciences, new methodologies appeared in medical sciences like simulation and optimization to simplify and improve the experimental work. With thi...

Descripción completa

Guardado en:
Detalles Bibliográficos
Autores principales: Campetelli, G., Lombarte, M., Rigalli, A., Basualdo, M. S.
Formato: Objeto de conferencia
Lenguaje:Español
Publicado: 2011
Materias:
Ciencias Informáticas
Mathematical modeling
Diabetes Mellitus
In silico rat
Experimental Data
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/129304
Aporte de:
SEDICI (UNLP) de Universidad Nacional de La Plata
id I19-R120-10915-129304
record_format dspace
institution Universidad Nacional de La Plata
institution_str I-19
repository_str R-120
collection SEDICI (UNLP)
language Español
topic Ciencias Informáticas
Mathematical modeling
Diabetes Mellitus
In silico rat
Experimental Data
spellingShingle Ciencias Informáticas
Mathematical modeling
Diabetes Mellitus
In silico rat
Experimental Data
Campetelli, G.
Lombarte, M.
Rigalli, A.
Basualdo, M. S.
A new minimal mathematical model of the endocrine system of normal rats validated against experimental data
topic_facet Ciencias Informáticas
Mathematical modeling
Diabetes Mellitus
In silico rat
Experimental Data
description As a common laboratory practice, rats are studied as biological models for understanding human physiology. Even though, with the advent of modern computer sciences, new methodologies appeared in medical sciences like simulation and optimization to simplify and improve the experimental work. With this background, a novel simulation model of the endocrine system of Sprague Dawley rats is presented. It is a simplified mathematical model composed of 3 differential equations and 8 parameters that have been determined and validated with experimental measures of plasma glucose and insulin alone by means of calculus and optimization techniques. The results presented here are a step before the development of a type I diabetic model of Sprague Dawley rats.
format Objeto de conferencia
Objeto de conferencia
author Campetelli, G.
Lombarte, M.
Rigalli, A.
Basualdo, M. S.
author_facet Campetelli, G.
Lombarte, M.
Rigalli, A.
Basualdo, M. S.
author_sort Campetelli, G.
title A new minimal mathematical model of the endocrine system of normal rats validated against experimental data
title_short A new minimal mathematical model of the endocrine system of normal rats validated against experimental data
title_full A new minimal mathematical model of the endocrine system of normal rats validated against experimental data
title_fullStr A new minimal mathematical model of the endocrine system of normal rats validated against experimental data
title_full_unstemmed A new minimal mathematical model of the endocrine system of normal rats validated against experimental data
title_sort new minimal mathematical model of the endocrine system of normal rats validated against experimental data
publishDate 2011
url http://sedici.unlp.edu.ar/handle/10915/129304
work_keys_str_mv AT campetellig anewminimalmathematicalmodeloftheendocrinesystemofnormalratsvalidatedagainstexperimentaldata
AT lombartem anewminimalmathematicalmodeloftheendocrinesystemofnormalratsvalidatedagainstexperimentaldata
AT rigallia anewminimalmathematicalmodeloftheendocrinesystemofnormalratsvalidatedagainstexperimentaldata
AT basualdoms anewminimalmathematicalmodeloftheendocrinesystemofnormalratsvalidatedagainstexperimentaldata
AT campetellig newminimalmathematicalmodeloftheendocrinesystemofnormalratsvalidatedagainstexperimentaldata
AT lombartem newminimalmathematicalmodeloftheendocrinesystemofnormalratsvalidatedagainstexperimentaldata
AT rigallia newminimalmathematicalmodeloftheendocrinesystemofnormalratsvalidatedagainstexperimentaldata
AT basualdoms newminimalmathematicalmodeloftheendocrinesystemofnormalratsvalidatedagainstexperimentaldata
bdutipo_str Repositorios
_version_ 1764820452314710018

Ejemplares similares