title: A Model Approach: Mathematical modeling provides an increasingly clear picture of glucose and neural systems.
abstract: Mathematical modeling of physiological systems is a fundamental milestone of biomedical engineering. Models allow for the quantitative understanding of the intimate functions of a biological system, estimating parameters that are not accessible to direct measurement and performing in silico trials by simulating and tracking a physiological system in case its function has been deranged. Modeling has always been central in the Italian biomedical engineering community. Here, we review the progress in two areas: glucose and neurocomputational modeling with an emphasis on their clinical impact.
authors.forename: Claudio
authors.initials: C
authors.lastname: Cobelli
authors.forename: Mauro
authors.initials: M
authors.lastname: Ursino
mesh_terms: D000293:Adolescent; D000328:Adult; D001698:Biomedical Engineering; D001786:Blood Glucose / Q000378:metabolism*; D002648:Child; D019295:Computational Biology; D003198:Computer Simulation; D003920:Diabetes Mellitus; D006801:Humans; D007328:Insulin / Q000378:metabolism; D008954:Models, Biological; D008959:Models, Neurological; D019397:Pancreas, Artificial
chemical_list: D001786:Blood Glucose; D007328:Insulin