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.
A Model Approach: Mathematical modeling provides an increasingly clear picture of glucose and neural systems / Cobelli, Claudio; Ursino, Mauro. - In: IEEE PULSE. - ISSN 2154-2287. - ELETTRONICO. - 6:4(2015), pp. 33-38. [10.1109/MPUL.2015.2428681]
A Model Approach: Mathematical modeling provides an increasingly clear picture of glucose and neural systems
URSINO, MAURO
2015
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.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.