Zobrazeno 1 - 10
of 298
pro vyhledávání: '"Cappelletto, P."'
Autor:
Giulia Pasello, Aline S. C. Fabricio, Paola Del Bianco, Valentina Salizzato, Adolfo Favaretto, Luisa Piccin, Fable Zustovich, Alessio Fabozzi, Costanza De Rossi, Jacopo Pigozzo, Mattia De Nuzzo, Elia Cappelletto, Laura Bonanno, Dario Palleschi, Gian Luca De Salvo, Valentina Guarneri, Massimo Gion, Vanna Chiarion-Sileni
Publikováno v:
Journal of Translational Medicine, Vol 22, Iss 1, Pp 1-16 (2024)
Abstract Background Immune Checkpoint Inhibitors (ICIs) lead to durable response and a significant increase in long-term survival in patients with advanced malignant melanoma (MM) and Non-Small Cell Lung Cancer (NSCLC). The identification of serum cy
Externí odkaz:
https://doaj.org/article/eaa29a66434e4108acd2e04152a4052d
Autor:
Gloria Mariño-Briceño, José Cappelletto, Alfredo Ascanio, Esteban Agudo-Adriani, Aldo Cróquer
Publikováno v:
Novitates Caribaea, Iss 23, Pp 51-73 (2024)
Understanding the dynamics of coral recruitment and post-settlement is fundamental to a better comprehension of coral reef dynamics and recovery. We studied the abundance and survivorship of coral recruits and juveniles together with benthic dynamics
Externí odkaz:
https://doaj.org/article/d4988339c41843f59ce50c79c872fc50
Autor:
Ambra Cappelletto, Edoardo Alfì, Nina Volf, Thi Van Anh Vu, Francesca Bortolotti, Giulio Ciucci, Simone Vodret, Marco Fantuz, Martina Perin, Andrea Colliva, Giacomo Rozzi, Matilde Rossi, Giulia Ruozi, Lorena Zentilin, Roman Vuerich, Daniele Borin, Romano Lapasin, Silvano Piazza, Mattia Chiesa, Daniela Lorizio, Luca Triboli, Sandeep Kumar, Gaia Morello, Claudio Tripodo, Maurizio Pinamonti, Giulia Maria Piperno, Federica Benvenuti, Alessandra Rustighi, Hanjoong Jo, Stefano Piccolo, Giannino Del Sal, Alessandro Carrer, Mauro Giacca, Serena Zacchigna
Publikováno v:
Journal of Experimental & Clinical Cancer Research, Vol 43, Iss 1, Pp 1-14 (2024)
Abstract Background New drugs to tackle the next pathway or mutation fueling cancer are constantly proposed, but 97% of them are doomed to fail in clinical trials, largely because they are identified by cellular or in silico screens that cannot predi
Externí odkaz:
https://doaj.org/article/a789156b8a0b44008d091dcfb970d332
Autor:
Scagnetto, A., Barbati, G., Gandin, I., Cappelletto, C., Baj, G., Cazzaniga, A., Cuturello, F., Ansuini, A., Bortolussi, L., Di Lenarda, A.
Atrial Fibrillation (AF) is a heart's arrhythmia which, despite being often asymptomatic, represents an important risk factor for stroke, therefore being able to predict AF at the electrocardiogram exam, would be of great impact on actively targeting
Externí odkaz:
http://arxiv.org/abs/2202.05676
Autor:
Antonella Ravaggi, Cosetta Bergamaschi, Chiara Galbiati, Laura Zanotti, Aline S. C. Fabricio, Massimo Gion, Elia Cappelletto, Antonette E. Leon, Massimo Gennarelli, Cesare Romagnolo, Giuseppe Ciravolo, Stefano Calza, Eliana Bignotti, Franco Odicino
Publikováno v:
Biomedicines, Vol 12, Iss 10, p 2393 (2024)
Background/Objectives: Endometriosis (END) is a painful gynecological condition. Clinical examination, imaging, and laparoscopy can provide a definitive diagnosis of END. Nonetheless, non-invasive biomarkers could help enhance and streamline the diag
Externí odkaz:
https://doaj.org/article/c2da91a5ee11407d86d4f9fede438901
Autor:
Alessandro Cafaro, Flavia Foca, Oriana Nanni, Marco Chiumente, Marina Coppola, Paolo Baldo, Sabrina Orzetti, Fiorenza Enrico, Vito Ladisa, Rosa Lerose, Patrizia Nardulli, Piera Maiolino, Federica Gradellini, Anna Rita Gasbarro, Gisella Carrucciu, Riccardo Provasi, Paola Cristina Cappelletto, Alessandra Pasqualini, Stefano Vecchia, Marianna Veraldi, Adele Emanuela De Francesco, Lucio Crinò, Angelo Delmonte, Carla Masini
Publikováno v:
Frontiers in Oncology, Vol 14 (2024)
IntroductionThe phase III Keynote-189 trial established a first-line treatment combining pembrolizumab with pemetrexed and platinum as a standard treatment for patients with stage IV non-small cell lung cancer (NSCLC) without known EGFR and ALK drive
Externí odkaz:
https://doaj.org/article/ac61704f545c4c6cbdb99105082d3c5c
Autor:
Rogerio Romeu, Giulia Cappelletto D’Agnoluzzo, Raquel Martina Rodrigues Castillo, Vinicius Lando Borges, Lara Zanetti Patella, Rochelle Gorczak
Publikováno v:
Pubvet, Vol 18, Iss 03 (2024)
O objetivo deste trabalho foi realizar uma revisão bibliográfica sobre o uso do citrato de maropitant como um antagonista NK-1 específico que inibe a Substância P (SP), responsável por sensibilizar novos nociceptores e o principal mediador na si
Externí odkaz:
https://doaj.org/article/b96cb16e2b91471e9e2bc6dcb59c4c56
Autor:
Rossella Rispoli, Fabrizia Giorgiutti, Claudio Veltri, Edi Copetti, Pietro Imbruce’, Giorgia Iacopino, Barbara Cappelletto
Publikováno v:
Medicina, Vol 60, Iss 7, p 1020 (2024)
Background and Objectives: Metastatic spinal cord compression represents a substantial risk to patients, given its potential for spinal cord and/or nerve root compression, which can result in severe morbidity. This study aims to evaluate the effectiv
Externí odkaz:
https://doaj.org/article/e2d6a0fb836f450ea5efead2ff15e251
Autor:
Giovanni Blandino, Roberto Dinami, Marco Marcia, Eleni Anastasiadou, Brid M. Ryan, Alina Catalina Palcau, Luigi Fattore, Giulia Regazzo, Rosanna Sestito, Rossella Loria, Ana Belén Díaz Méndez, Maria Chiara Cappelletto, Claudio Pulito, Laura Monteonofrio, George A. Calin, Gabriella Sozzi, Jit Kong Cheong, Ranit Aharonov, Gennaro Ciliberto
Publikováno v:
Journal of Experimental & Clinical Cancer Research, Vol 42, Iss 1, Pp 1-16 (2023)
Abstract The 5th Workshop IRE on Translational Oncology was held in Rome (Italy) on 27–28 March at the IRCCS Regina Elena National Cancer Institute. This meeting entitled “The New World of RNA diagnostics and therapeutics” highlightes the signi
Externí odkaz:
https://doaj.org/article/3a1f4e3c811547579a213904c93a8094
Autor:
Giovanni Baj, Ilaria Gandin, Arjuna Scagnetto, Luca Bortolussi, Chiara Cappelletto, Andrea Di Lenarda, Giulia Barbati
Publikováno v:
BMC Medical Research Methodology, Vol 23, Iss 1, Pp 1-10 (2023)
Abstract Background Machine learning (ML) methods to build prediction models starting from electrocardiogram (ECG) signals are an emerging research field. The aim of the present study is to investigate the performances of two ML approaches based on E
Externí odkaz:
https://doaj.org/article/d7277f21e217425aae381c97b0abf166