Effects of Prismatic Lenses on Lateral Axial Dystonia in Parkinson's Disease: A Pilot Study.

In Parkinson's disease (PD), postural abnormalities such as lateral axial dystonia (LAD) are relatively common. Evidence suggests that both peripheral and central mechanisms contribute to these postural abnormalities. We previously reported an improvement in LAD following the use of prisms in two PD patients.

Deep learning in systems medicine.

Systems medicine (SM) has emerged as a powerful tool for studying the human body at the systems level with the aim of improving our understanding, prevention and treatment of complex diseases. Being able to automatically extract relevant features needed for a given task from high-dimensional, heterogeneous data, deep learning (DL) holds great promise in this endeavour. This review paper addresses the main developments of DL algorithms and a set of general topics where DL is decisive, namely, within the SM landscape.

Introducing ORTO-R: a revision of ORTO-15 : Based on the re-assessment of original data.

Background: Orthorexia nervosa has attracted significant attention in the field, however, alongside increasing knowledge, more and more gaps are being identified. One of the fundamental problems concerns measurement of orthorexia nervosa. The most commonly used self-report measure, the ORTO-15, demonstrated an unstable factorial structure across different populations.

Multimodality imaging for pre-clinical assessment of Fabry's cardiomyopathy.

Anderson Fabry's disease (AFD) is a rare but underdiagnosed intracellular lipid disorder which can cause left ventricular hypertrophy (LVH). Pre-clinical diagnosis of Fabry's disease is important as it permits early stratification for enzyme replacement therapy, improving the patient's long-term prognosis, avoiding progression to irreversible fibrosis, and preventing cardiovascular complications. Combinations of imaging modalities that integrate the strengths of each modality and at the same time eliminate weaknesses of an individual modality can offer improved diagnostics, therapeutic monitoring, and pre-clinical assessment of Fabry's disease.

Fluctuation-dissipation relations in driven granular gases.

We study the dynamics of a two-dimensional driven inelastic gas, by means of direct simulation Monte Carlo techniques, i.e., under the assumption of molecular chaos.