title: Pancreas modelling by a deterministic optimisation method.
abstract: Diabetes mellitus is a disease characterised by abnormally high glucose concentration, insulin dysfunction and resistance which may lead to health problems such as cardiovascular disease. This paper presents a mechanistic pancreas model of insulin dynamics which incorporates experimental physiological data. This model will provide an efficient and accurate way to determine the specifics of a metabolic problem in the pancreas. We use Intravenous Glucose Tolerance Test (IVGTT) data from the literature to identify the model parameters by implementing a deterministic optimisation method called DIRECT (Dividing RECTangles). Different data sets are used for optimisation and validation.
authors.affiliation: Department of Aerospace and Mechanical Engineering, University of Notre Dame, Notre Dame, IN 46556, USA. dlv@nd.edu
authors.forename: Dayu
authors.initials: D
authors.lastname: Lv
authors.forename: Bill
authors.initials: B
authors.lastname: Goodwine
mesh_terms: D001786:Blood Glucose / Q000378:metabolism; D003920:Diabetes Mellitus / Q000378:metabolism; D005951:Glucose Tolerance Test; D007328:Insulin / Q000378:metabolism; D008954:Models, Biological; D010179:Pancreas / Q000378:metabolism*
chemical_list: D001786:Blood Glucose; D007328:Insulin