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Andrea De Gaetano
Researcher at National Research Council
Publications - 147
Citations - 6636
Andrea De Gaetano is an academic researcher from National Research Council. The author has contributed to research in topics: Insulin & Dodecanedioic acid. The author has an hindex of 33, co-authored 133 publications receiving 5639 citations. Previous affiliations of Andrea De Gaetano include Commission on Higher Education & Mahidol University.
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The range of time delay and the global stability of the equilibrium for an IVGTT model
TL;DR: The range of the time delay is discussed and easy-to-check delay-dependent conditions for the global asymptotic stability of the equilibrium point for a recent IVGTT model through Liapunov function approach are provided.
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Parameters of the diffusion leaky integrate-and-fire neuronal model for a slowly fluctuating signal
TL;DR: The stochastic LIF model is extended, allowing a noise source determining slow fluctuations in the signal, by adding a random variable to one of the parameters characterizing the neuronal input, considering each interspike interval (ISI) as an independent experimental unit with a different realization of this random variable.
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Maximum likelihood estimation of a time-inhomogeneous stochastic differential model of glucose dynamics
TL;DR: This work proposes a new SDE model for the dynamics of glycemia during a euglycemic hyperinsulinemic clamp experiment, introducing system noise in tissue glucose uptake and applies for its estimation a closed-form Hermite expansion of the transition densities of the solution process.
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A mathematical model of the euglycemic hyperinsulinemic clamp
TL;DR: It is clear that, in obese subjects, glucose uptake rates continue to increase if the clamp procedure is prolonged beyond the customary 2 hours, and a mathematical model allows a greater amount of information to be recovered from clamp data, making it easier to understand the components of insulin resistance in obese vs. normal subjects.
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Delay model of glucose-insulin systems: Global stability and oscillated solutions conditional on delays
TL;DR: Palumbo et al. as mentioned in this paper investigated the effect of delays in connection with the behavior of oscillating solutions to the system and showed that the model is physiologically consistent and actually applicable to diabetological research.