Background: This article analyzes the main coordination needs linked to the diagnosis and treatment of oncological diseases, presenting the various integration tools that our healthcare organization adopted to guarantee continuity of care at the IRCCS IFO (Istituto di Ricovero e Cura a Carattere Scientifico Istituti Fisioterapici Ospitalieri) in Rome. The object of investigation is the disease management team (DMT) organization for the diagnosis and treatment of people suffering from oncological disease and the consequences in terms of improving their management.
Methods: The study focuses, in particular, on the analysis of the different organizational methods chosen for the management of activities related to diagnosis and treatment paths.
Introduction: Personalized medicine has revolutionized the clinical management of patients with solid tumors. However, the large volumes of molecular data derived from next-generation sequencing (NGS) and the lack of harmonized bioinformatics pipelines drastically impact the clinical management of patients with solid tumors. A possible solution to streamline the molecular interpretation and reporting of NGS data would be to adopt automated data analysis software.
View Article and Find Full Text PDFThe first search for soft unclustered energy patterns (SUEPs) is performed using an integrated luminosity of 138 fb^{-1} of proton-proton collision data at sqrt[s]=13 TeV, collected in 2016-2018 by the CMS detector at the LHC. Such SUEPs are predicted by hidden valley models with a new, confining force with a large 't Hooft coupling. In events with boosted topologies, selected by high-threshold hadronic triggers, the multiplicity and sphericity of clustered tracks are used to reject the background from standard model quantum chromodynamics.
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