Mathematical modeling for the physiological and clinical investigation of glucose homeostasis and diabetes

A Mari, A Tura, E Grespan, R Bizzotto - Frontiers in Physiology, 2020 - frontiersin.org
Mathematical modeling in the field of glucose metabolism has a longstanding tradition. The
use of models is motivated by several reasons. Models have been used for calculating …

Luenberger-like observers for nonlinear time-delay systems with application to the artificial pancreas: The attainment of good performance

A Borri, F Cacace, A De Gaetano… - IEEE Control …, 2017 - ieeexplore.ieee.org
The analysis and control of time-delay systems has gained increasing interest in the last
decades due to the effectiveness of delay differential equations (DDEs) in modeling a wide …

The effect of a non-local fractional operator in an asymmetrical glucose-insulin regulatory system: Analysis, synchronization and electronic implementation

JM Munoz-Pacheco, C Posadas-Castillo… - Symmetry, 2020 - mdpi.com
For studying biological conditions with higher precision, the memory characteristics defined
by the fractional-order versions of living dynamical systems have been pointed out as a …

The evolution of control algorithms in artificial pancreas: A historical perspective

G Quiroz - Annual Reviews in Control, 2019 - Elsevier
Blood glucose control algorithms have evolved since the beginnings of the artificial
pancreas in diabetes treatment. Although the main problem to solve remains as the …

On semi-global exponential stability under sampling for locally Lipschitz time-delay systems

M Di Ferdinando, P Pepe… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
In this article, the stability preservation problem for locally Lipschitz nonlinear time-delay
systems, by emulation of continuous-time dynamic output feedback controllers, is studied …

[HTML][HTML] Reducing high-risk glucose forecasting errors by evolving interpretable models for type 1 diabetes

A Della Cioppa, I De Falco, T Koutny, U Scafuri… - Applied Soft …, 2023 - Elsevier
Diabetes mellitus is a metabolic disease involving high blood glucose levels that can lead to
serious medical consequences. Hence, for diabetic patients the prediction of future glucose …

An extended minimal model of OGTT: estimation of α-and β-cell dysfunction, insulin resistance, and the incretin effect

V Subramanian, JI Bagger, V Harihar… - American Journal …, 2024 - journals.physiology.org
Loss of insulin sensitivity, α-and β-cell dysfunction, and impairment in incretin effect have all
been implicated in the pathophysiology of type 2 diabetes (T2D). Parsimonious …

Preparation and characterization of glycoprotein-resistant starch complex as a coating material for oral bioadhesive microparticles for colon-targeted polypeptide …

W Situ, X Li, J Liu, L Chen - Journal of agricultural and food …, 2015 - ACS Publications
For effective oral delivery of polypeptide or protein and enhancement their oral
bioavailability, a new resistant starch–glycoprotein complex bioadhesive carrier and an oral …

Forecasting glycaemia for type 1 diabetes mellitus patients by means of IoMT devices

I Rodríguez-Rodríguez, M Campo-Valera… - Internet of Things, 2023 - Elsevier
The chronic metabolic condition, Type 1 diabetes mellitus (DM1), is marked by consistent
hyperglycemia due to the body's inability to produce sufficient insulin. This necessitates the …

On the possibility of predicting glycaemia 'on the fly'with constrained IoT devices in type 1 diabetes mellitus patients

I Rodríguez-Rodríguez, JV Rodríguez… - Sensors, 2019 - mdpi.com
Type 1 Diabetes Mellitus (DM1) patients are used to checking their blood glucose levels
several times per day through finger sticks and, by subjectively handling this information, to …