Felice Clemente

Highly reliable personalized noninvasive hemoglobin estimation by using Vision Transformers and dual fine-tuning

Mauro Giuseppe Camporeale, Felice Clemente, Giovanni Dimauro, Nunzia Lomonte et autres

Artificial intelligence is revolutionizing health care, particularly in precision medicine and noninvasive diagnostics. Anemia, which is a widespread condition that affects billions of people worldwide, compromises oxygen transport due to low hemoglobin levels, which leads to severe complications if left undetected. Early …

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692 | POST TRANSPLANT LYMPHOPROLIFERATIVE DISORDERS: AN INTERNATIONAL REGISTRY STUDY (THE PLATO STUDY)

Federica Cavallo, Natalia Pin Chuen Zing, Tetiana Skrypets, Chiara Consoli et autres

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A targeted gene signature stratifying mediastinal gray zone lymphoma into classical Hodgkin lymphoma-like or primary mediastinal B-cell lymphoma-like subtypes

Grazia Gargano, Maria Carmela Vegliante, Flavia Esposito, Susanna Anita Pappagallo et autres

A targeted gene signature stratifying mediastinal gray zone lymphoma into classical Hodgkin lymphoma-like or primary mediastinal B-cell lymphoma-like subtypesMediastinal gray zone lymphoma (MGZL), a B-cell lymphoma with overlapping features between primary mediastinal B-cell lymphoma (PMBL) and classical Hodgkin lymphoma (CHL), is a …

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Corrigendum: Real-practice management and treatment of idiopathic multicentric Castleman disease with siltuximab: a collection of clinical experiences

Bernardo Rossini, Nicola Cecchi, Felice Clemente, Maria Rosaria De Paolis et autres

The authors wish to make the following corrections to their article: Rossini B, Cecchi N, Clemente F, De Paolis MR, Hohaus S, Innao V, Lucignano M, Massaiu R, Palumbo G, Rigolin GM, Rossi FG, Verga L, Guarini A. Real-practice management and treatment …

Oral anti‐viral therapy for early COVID ‐19 infection in patients with haematological malignancies: A multicentre prospective cohort

Carla Minoia, Lucia Diella, Tommasina Perrone, Giacomo Loseto et autres

High rates of lung failure have been reported in haematological patients after SARS-CoV2 infection. An early administration of monoclonal antibodies or anti-virals may improve the prognosis. Oral anti-virals may have a wider use independently of the genetic variations of the virus. Prospective …

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A Decision-tree Approach to Stratify DLBCL Risk Based on Stromal and Immune Microenvironment Determinants

Gian Maria Zaccaria, Maria Carmela Vegliante, Giuseppe Mezzolla, Marianna Stranieri et autres

In diffuse large B-cell lymphoma (DLBCL), the heterogeneity of response to standard first-line therapy1 largely relies on the tremendous biological complexity of the disease, claiming for an urgent improvement of our capacity to characterize it at diagnosis to guide treatments. Among emerging …

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A real-world analysis of PD1 blockade from the Rete Ematologica Pugliese (REP) in patients with relapse/refractory Hodgkin’s lymphoma

Francesco Gaudio, Giacomo Loseto, Valentina Bozzoli, Potito Rosario Scalzulli et autres

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An intelligent non-invasive system for automated diagnosis of anemia exploiting a novel dataset

Giovanni Dimauro, Maria Elena Griseta, Mauro Giuseppe Camporeale, Felice Clemente et autres

Anemia is a condition in which the oxygen-carrying capacity of red blood cells is insufficient to meet the body's physiological needs. It affects billions of people worldwide. An early diagnosis of this disease could prevent the advancement of other disorders. Traditional methods …

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Validation of Argo (Automatic record generator for Onco-Hematology), a New App Supporting the Automatic Conversion of Paper-Based Pathology Reports in Standardized Ecrfs

Gian Maria Zaccaria, Francesco Berloco, Felice Clemente, Anita Susanna Pappagallo et autres

Background and aims. The scarce accessibility to integrated systems limits the advantage of using real-world medical data for translational research purposes. ARGO (Automatic Report Generation for Onco-hematology) converts paper-based pathology reports in electronic Case Report Forms (eCRFs) exploiting Optical Character Recognition and …

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Oral Antiviral Therapy and Monoclonal Antibody for the Treatment of COVID-19 Infection in Outpatients Receiving Anti-Cancer Treatment for Hematological Malignancies: A Multicenter Prospective Study Exploring Efficacy, Safety and Predictors of COVID-19 Lung Failure

Carla Minoia, Davide Fiore Bavaro, Giacomo Loseto, Crescenza Pasciolla et autres

Background: Serious complications during SARS-CoV2 infection were reported in onco-haematological patients; in addition, COVID-19 can also indirectly force the interruption or delay of cancer treatment. Early administration of oral antivirals [molnupiravir (MOL) and nirmatrelvir/ritonavir (NIR/r)] or monoclonal antibody (Sotrovimab) may reduce hospitalization …

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NR1H3 (LXRα) is associated with pro‐inflammatory macrophages, predicts survival and suggests potential therapeutic rationales in diffuse large b‐cell lymphoma

Maria Carmela Vegliante, Saveria Mazzara, Gian Maria Zaccaria, Simona De Summa et autres

Abstract The role of macrophages (Mo) and their prognostic impact in diffuse large B‐cell lymphomas (DLBCL) remain controversial. By regulating the lipid metabolism, Liver‐X‐Receptors (LXRs) control Mo polarization/inflammatory response, and their pharmacological modulation is under clinical investigation to treat human cancers, including …

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Electronic case report forms generation from pathology reports by ARGO, automatic record generator for onco-hematology

Gian Maria Zaccaria, Vito Colella, Simona Colucci, Felice Clemente et autres

The unstructured nature of Real-World (RW) data from onco-hematological patients and the scarce accessibility to integrated systems restrain the use of RW information for research purposes. Natural Language Processing (NLP) might help in transposing unstructured reports into standardized electronic health records. We …

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