Type 2 diabetes, research from the University of L’Aquila and Biccoca in Milan has allowed us to design the latest generation of artificial pancreases
Researchers from the Institute of Systems Analysis and Informatics “Antonio Ruberti” of National Research Council (Cnr-Iasi), ofUniversity of L’Aquila and dell‘University of Milano-Bicocca have developed a technique to use when designing a artificial pancreas for patients type 2 diabetics. This type represents about 90% of cases of diabetes, which is a metabolic disease characterized by high concentrations of glucose in the blood (hyperglycemia), typically in a context of insufficient endogenous secretion and / or resistance to the action ofinsulin, which is the glucose regulating hormone. The artificial pancreas today represents the cutting-edge technology for the automatic regulation of blood glucose in diabetic patients.
Type 2 Diabetes: “The artificial pancreas confirms the potential of the symbolic modeling approach”
“The approach is based on the so-called symbolic models, which are finite approximations of complex dynamic systems. In our case the model takes into account the dynamics of the concentration of glucose in the blood, the administration of insulin from the outside subcutaneously, and the eating meals, “he explains Alessandro Borri of Cnr-Iasi. “The methodology was validated in silico (ie by numerical simulation) on a virtual patient model approved by Food and Drug Administration as a substitute for animal testing in preclinical testing of closed-loop blood glucose control strategies “.
The study, published in the journal IEEE Transactions on Control Systems Technology, “confirms the potential of the approach. In particular, considering a population of 10 thousand virtual patients, it is highlighted that the symbolic controller is able to compensate for the hyperglycemic behavior and jointly to avoid dangerous episodes of hypoglycemia, providing, compared to standard techniques, significant performance improvements, evaluated according to internationally defined efficacy indexes “, concludes Borri. “Furthermore, the symbolic approach is able to adapt in a robust way to random variations in the quantity and composition of meals and to the heterogeneity of the population considered”.
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