Publications by authors named "E Cavallo"

Neurotrophic tyrosine receptor kinase (NTRK) fusions are infrequent genetic events that can occur in various tumor types. Specifically, NTRK-rearranged sarcoma has been observed in pediatric mesenchymal tumors and, to a lesser extent, in adult mesenchymal tumors like fibrosarcoma. Recently, NTRK-rearranged uterine sarcoma (US) has been identified as a rare entity characterized by constitutive activation or overexpression of the TRK receptor, which plays a role in cell proliferation and differentiation.

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Introduction: Anaemia is a common condition in patients admitted to intensive care units (ICUs). It is also well known that a significant amount of the carbon dioxide produced by health services is likely attributable to blood donation, testing, and the manufacture, storage, and distribution of blood components. To mitigate this, prevention strategies such as blood-sparing techniques are available.

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Article Synopsis
  • The Manta Vascular Closure Device, designed for closing large-bore arterial accesses, was evaluated to see if it performs as well as the ProGlide device in terms of achieving hemostasis after endovascular procedures.
  • A retrospective study was conducted on 524 cases of (T)EVAR procedures between January 2021 and April 2023, comparing outcomes of 355 procedures using Manta versus 169 using ProGlide.
  • Results showed similar complication rates and effectiveness for both devices, although Manta had a statistically larger sheath size, indicating that both are viable options for vascular closure.
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Article Synopsis
  • AI has evolved since its introduction in 1956 and is now significantly impacting healthcare, especially in patient care and information management.
  • Key AI functions like Machine Learning and Deep Learning, along with Biomimetic Intelligence, are being utilized to analyze medical data and create algorithms for better diagnosis and treatments.
  • The rising incidence of chronic limb-threatening ischemia due to diabetes and aging populations presents a challenge that AI and BI can help address by improving treatment planning and resource integration for peripheral artery disease.
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