Publications by authors named "A Stanziola"

Background: Severe eosinophilic asthma (SEA) is often linked to a dysregulation in the Interleukin-(IL)-5 axis. Mepolizumab, a humanized monoclonal antibody, reduces eosinophils by directly binging to IL-5, potentially restoring homeostatic eosinophil biology, with a significant impact on quality of life, acute exacerbations and oral corticosteroids (OCS) elimination in SEA patients. While its short- and middle-term effects are well described, no study has so far investigated its long-lasting effects in SEA patients.

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Article Synopsis
  • Exercise echocardiography is vital for evaluating the right ventricle and pulmonary circulation, but there's a need for clearer understanding of normal ranges and disease-specific variations.
  • The study involved 2,228 participants including healthy individuals, athletes, and patients with different heart and lung conditions, who underwent echocardiography at rest and during exercise.
  • Key findings indicate that certain measurements can predict increased mortality risk, highlighting significant differences in responses to exercise between healthy subjects and various patient groups.
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Transcranial ultrasound simulations are increasingly used to predict in situ exposure parameters for ultrasound therapies in the brain. However, there can be considerable uncertainty in estimating the acoustic medium properties of the skull and brain from computed tomography (CT) images. This paper shows how the resulting uncertainty in the simulated acoustic field can be predicted in a computationally efficient way using linear uncertainty propagation.

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A new method for solving the wave equation is presented, called the learned Born series (LBS), which is derived from a convergent Born series but its components are found through training. The LBS is shown to be significantly more accurate than the convergent Born series for the same number of iterations, in the presence of high contrast scatterers, while maintaining a comparable computational complexity. The LBS is able to generate a reasonable prediction of the global pressure field with a small number of iterations, and the errors decrease with the number of learned iterations.

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Introduction: Nintedanib (NTD) has been shown to be effective in systemic sclerosis (SSc)-interstitial lung disease (ILD). Here we describe the efficacy and safety of NTD in a real-life setting.

Methods: Patients with SSc-ILD treated with NTD were retrospectively evaluated at 12 months prior to NTD introduction; at baseline and at 12 months after NTD introduction.

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