Publications by authors named "F Loffredo"

Article Synopsis
  • Left ventricular hypertrophy (LVH) is linked to serious cardiovascular issues, and identifying its cause is important for treatment; this systematic review explores how AI can help in diagnosing LVH and its causes from imaging data.
  • A thorough search was conducted utilizing multiple databases, leading to the inclusion of 30 studies which mainly focused on echocardiography and cardiac magnetic resonance imaging (CMR), with a smaller number on cardiac computed tomography (CT).
  • The review found that AI methods, especially deep learning and convolutional neural networks, showed good diagnostic performance, with the highest accuracy in identifying the causes of LVH rather than just detecting it; more real-life validation studies and cost-effectiveness assessments are recommended.
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Polyvinylidene fluoride (PVDF)-based materials are the most researched polymers in the field of energy harvesting. Their production in thin-film form through printing technologies can potentially offer several manufacturing and performance advantages, such as low-cost, low-temperature processing, use of flexible substrates, custom design, low thermal inertia and surface-scaling performance. However, solution-based processes, like printing, miss fine control of the microstructure during film-forming, making it difficult to achieve a high level of polarization, necessary for PVDF to exhibit electroactive characteristics.

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Myocarditis is an inflammatory condition of cardiac tissue presenting significant variability in clinical manifestations and outcomes. Its etiology is diverse, encompassing infectious agents (primarily viruses, but also bacteria, protozoa, and helminths) and non-infectious factors (autoimmune responses, toxins, and drugs), though often the specific cause remains unidentified. Recent research has highlighted the potential role of genetic susceptibility in the development of myocarditis (and in some cases the development of inflammatory dilated cardiomyopathy, i.

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Thermal camouflage is a highly coveted technology aimed at enhancing the survivability of military equipment against infrared (IR) detectors. Recently, two-dimensional (2D) nanomaterials have shown low IR emissivity, widely tunable opto-electronic properties, and compatibility with stealth applications. Among these, graphene and graphene-like materials are the most appealing 2D materials for thermal camouflage applications.

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