
Potential predictors of type-2 diabetes risk: machine learning, synthetic data and wearable health devices
Investigation about the mechanisms involved in the onset of type 2 diabetes in absence of familiarity is the focus of a research project which has led to the development of a computational model that recapitulates the aetiology of the disease. The model simulates the metabolic and immunological alterations related to type-2 diabetes associated to several clinical, physiological and behavioural characteristics of representative virtual patients.
Analysis of the Transient Behaviour in the Numerical Solution of Volterra Integral Equations
In this paper, the asymptotic behaviour of the numerical solution to the Volterra integral
equations is studied. In particular, a technique based on an appropriate splitting of the kernel is
introduced, which allows one to obtain vanishing asymptotic (transient) behaviour in the numerical
solution, consistently with the properties of the analytical solution, without having to operate
restrictions on the integration steplength
Joining European Scientific Forces to Face Pandemics
Despite the international guidelines on the containment of the coronavirus disease 2019 (COVID-19) pandemic, the European scientific community was not sufficiently prepared to coordinate scientific efforts. To improve preparedness for future pandemics, we have initiated a network of nine European-funded Cooperation in Science and Technology (COST) Actions that can help facilitate inter-, multi-, and trans-disciplinary communication and collaboration.
Nonminimally coupled gravity and planetary motion
The effects of a nonminimally coupled curvature-matter model of gravity on planetary orbits are computed. The parameters of the model are then constrained by the observation of Mercury orbit.





