Myobolica: A Stochastic Approach to Estimate Physiological Muscle Control Variability.

The inherent redundancy of the musculoskeletal systems is traditionally solved by optimizing a cost function. This approach may not be correct to model non-adult or pathological populations likely to adopt a "non-optimal" motor control strategy. Over the years, various methods have been developed to address this limitation, such as the stochastic approach.

Post-pandemic modeling of COVID-19: Waning immunity determines recurrence frequency.

There are many factors in the current phase of the COVID-19 pandemic that signal the need for new modeling ideas. In fact, most traditional infectious disease models do not address adequately the waning immunity, in particular as new emerging variants have been able to break the immune shield acquired either by previous infection by a different strain of the virus, or by inoculation of vaccines not effective for the current variant. Furthermore, in a post-pandemic landscape in which reporting is no longer a default, it is impossible to have reliable quantitative data at the population level.

A spatially distributed model of brain metabolism highlights the role of diffusion in brain energy metabolism.

The different active roles of neurons and astrocytes during neuronal activation are associated with the metabolic processes necessary to supply the energy needed for their respective tasks at rest and during neuronal activation. Metabolism, in turn, relies on the delivery of metabolites and removal of toxic byproducts through diffusion processes and the cerebral blood flow. A comprehensive mathematical model of brain metabolism should account not only for the biochemical processes and the interaction of neurons and astrocytes, but also the diffusion of metabolites.

Circulating Cytokine Levels and Cardiovascular Disease Risk Profile in Young Adult Offspring of Women with Type 1 Diabetes.

Introduction: Cytokines are key players in the development of both type 1 diabetes (T1D) and cardiovascular disease (CVD). Offspring of women with T1D are known to have an increased risk of early-onset CVD. We studied whether an increased risk of CVD can be observed in the cytokine profile among young adult offspring of women with T1D.

The IAS-MEEG Package: A Flexible Inverse Source Reconstruction Platform for Reconstruction and Visualization of Brain Activity from M/EEG Data.

We present a standalone Matlab software platform complete with visualization for the reconstruction of the neural activity in the brain from MEG or EEG data. The underlying inversion combines hierarchical Bayesian models and Krylov subspace iterative least squares solvers. The Bayesian framework of the underlying inversion algorithm allows to account for anatomical information and possible a priori belief about the focality of the reconstruction.