Potential predictors of type-2 diabetes risk: machine learning, synthetic data and wearable health devices
Background: The aim of a recent research project was the investigation of the mechanisms involved in the onset of type 2 diabetes in the absence of familiarity. This has led to the development of a computational model that recapitulates the aetiology of the disease and simulates the immunological and metabolic alterations linked to type-2 diabetes subjected to clinical, physiological, and behavioural features of prototypical human individuals. Results: We analysed the time course of 46,170 virtual subjects, experiencing different lifestyle conditions.
Simultaneous nonparametric regression in RADWT dictionaries
A new technique for nonparametric regression of multichannel signals is presented. The technique is based on the use of the Rational-Dilation Wavelet Transform (RADWT), equipped with a tunable Q-factor able to provide sparse representations of functions with different oscillations persistence. In particular, two different frames are obtained by two RADWT with different Q-factors that give sparse representations of functions with low and high resonance.
Computational corroboration of the flow of rock glaciers against borehole measurements
In this study, we computationally corroborate the flow of rock glaciers against borehole measurements, within the context of a model previously developed (2020). The model is, here, tested against the simulation of the sliding motion of the Murtel-Corvatsch alpine glacier, which is characterized in detail in the literature with internal structure description and borehole deformations measurement.
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.
Mechanistic Modeling and Multiscale Applications for Precision Medicine: Theory and Practice
Drug research, therapy development, and other areas of pharmacology and medicine can benefit from simula- tions and optimization of mathematical models that contain a mathematical description of interactions between systems elements at the cellular, tissue, organ, body, and population level. This approach is the foundation of systems medicine and precision medicine. Here, simulated experiments are performed with computers (in silico) first, and they are then replicated through lab experiments (in vivo or in vitro) or clinical studies.
Game of neutrophils: modeling the balance between apoptosis and necrosis
Background: Neutrophils are one of the key players in the human innate immune system (HIIS). In the event of an insult where the body is exposed to inflammation triggering moieties (ITMs), neutrophils are mobilized towards the site of insult and antagonize the inflammation. If the inflammation is cleared, neutrophils go into a programmed death called apoptosis.
Radon measure-valued solutions of first order scalar conservation laws
We study nonnegative solutions of the Cauchy problem
Diffusive limit of a two-dimensional well-balanced approximation to a kinetic model of chemotaxis
A (2+2)-dimensional kinetic equation, directly inspired by the run-and-tumble modeling
of chemotaxis dynamics is studied so as to derive a both ''2D well-balanced'' and
''asymptotic-preserving'' numerical approximation. To this end, exact stationary regimes
are expressed by means of Laplace transforms of Fourier-Bessel solutions of associated
elliptic equations. This yields a scattering S-matrix which permits to formulate a timemarching
scheme in the form of a convex combination in kinetic scaling.