Zobrazeno 1 - 10
of 90
pro vyhledávání: '"Luca Boldrin"'
Autor:
Hendrik Ballhausen, Stefanie Corradini, Claus Belka, Dan Bogdanov, Luca Boldrini, Francesco Bono, Christian Goelz, Guillaume Landry, Giulia Panza, Katia Parodi, Riivo Talviste, Huong Elena Tran, Maria Antonietta Gambacorta, Sebastian Marschner
Publikováno v:
npj Digital Medicine, Vol 7, Iss 1, Pp 1-12 (2024)
Abstract In multicentric studies, data sharing between institutions might negatively impact patient privacy or data security. An alternative is federated analysis by secure multiparty computation. This pilot study demonstrates an architecture and imp
Externí odkaz:
https://doaj.org/article/5aa51af602e6467fa4c367b577c04a28
Autor:
Luca Boldrini, Giuditta Chiloiro, Silvia Di Franco, Angela Romano, Lana Smiljanic, Elena Huong Tran, Francesco Bono, Diepriye Charles Davies, Loris Lopetuso, Maria De Bonis, Angelo Minucci, Luciano Giacò, Davide Cusumano, Lorenzo Placidi, Diana Giannarelli, Evis Sala, Maria Antonietta Gambacorta
Publikováno v:
Radiation Oncology, Vol 19, Iss 1, Pp 1-7 (2024)
Abstract Background Complete response prediction in locally advanced rectal cancer (LARC) patients is generally focused on the radiomics analysis of staging MRI. Until now, omics information extracted from gut microbiota and circulating tumor DNA (ct
Externí odkaz:
https://doaj.org/article/ba994dd288904262bd99b202a70fb53a
Autor:
Fabrizio Pignotti, Tamara Ius, Rosellina Russo, Daniele Bagatto, Francesco Beghella Bartoli, Edda Boccia, Luca Boldrini, Silvia Chiesa, Chiara Ciardi, Davide Cusumano, Carolina Giordano, Giuseppe La Rocca, Ciro Mazzarella, Edoardo Mazzucchi, Alessandro Olivi, Miran Skrap, Houng Elena Tran, Giuseppe Varcasia, Simona Gaudino, Giovanni Sabatino
Publikováno v:
Frontiers in Oncology, Vol 14 (2024)
PurposePatients diagnosed with High Grade Gliomas (HGG) generally tend to have a relatively negative prognosis with a high risk of early tumor recurrence (TR) after post-operative radio-chemotherapy. The assessment of the pre-operative risk of early
Externí odkaz:
https://doaj.org/article/961ad6def1cd4adcbc62e51a691588f0
Autor:
Bruno Fionda, Elisa Placidi, Mischa de Ridder, Lidia Strigari, Stefano Patarnello, Kari Tanderup, Jean-Michel Hannoun-Levi, Frank-André Siebert, Luca Boldrini, Maria Antonietta Gambacorta, Marco De Spirito, Evis Sala, Luca Tagliaferri
Publikováno v:
Clinical and Translational Radiation Oncology, Vol 49, Iss , Pp 100865- (2024)
This review explores the integration of artificial intelligence (AI) in interventional radiotherapy (IRT), emphasizing its potential to streamline workflows and enhance patient care. Through a systematic analysis of 78 relevant papers spanning from 2
Externí odkaz:
https://doaj.org/article/b9487bf4bda94094b8358aff23d22044
Autor:
Giuditta Chiloiro, Giulia Panza, Luca Boldrini, Angela Romano, Lorenzo Placidi, Matteo Nardini, Matteo Galetto, Claudio Votta, Maura Campitelli, Francesco Cellini, Mariangela Massaccesi, Maria Antonietta Gambacorta
Publikováno v:
Radiation Oncology, Vol 19, Iss 1, Pp 1-11 (2024)
Abstract Background Oligo-progression or further recurrence is an open issue in the multi-integrated management of oligometastatic disease (OMD). Re-irradiation with stereotactic body radiotherapy (re-SBRT) technique could represent a valuable treatm
Externí odkaz:
https://doaj.org/article/31c34f78fc1d4853a74bb078fa16f06d
Autor:
Benedetta Gottardelli, Varsha Gouthamchand, Carlotta Masciocchi, Luca Boldrini, Antonella Martino, Ciro Mazzarella, Mariangela Massaccesi, René Monshouwer, Jeroen Findhammer, Leonard Wee, Andre Dekker, Maria Antonietta Gambacorta, Andrea Damiani
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-12 (2024)
Abstract Predictive modelling of cancer outcomes using radiomics faces dimensionality problems and data limitations, as radiomics features often number in the hundreds, and multi-institutional data sharing is ()often unfeasible. Federated learning (F
Externí odkaz:
https://doaj.org/article/f46a4dfb4f9e4a9782e2fb980168130c
Autor:
Angela Romano, Claudio Votta, Matteo Nardini, Giuditta Chiloiro, Giulia Panza, Luca Boldrini, Davide Cusumano, Elena Galofaro, Lorenzo Placidi, Marco Valerio Antonelli, Gabriele Turco, Rosa Autorino, Maria Antonietta Gambacorta
Publikováno v:
Clinical and Translational Radiation Oncology, Vol 47, Iss , Pp 100808- (2024)
Introduction: Organ motion (OM) and volumetric changes pose challenges in radiotherapy (RT) for locally advanced cervical cancer (LACC). Magnetic Resonance-guided Radiotherapy (MRgRT) combines improved MRI contrast with adaptive RT plans for daily an
Externí odkaz:
https://doaj.org/article/2523e9bd0f7640ad8f79a0bb592360e5
Autor:
Annarita Fanizzi, Francesca Arezzo, Gennaro Cormio, Maria Colomba Comes, Gerardo Cazzato, Luca Boldrini, Samantha Bove, Michele Bollino, Anila Kardhashi, Erica Silvestris, Pietro Quarto, Michele Mongelli, Emanuele Naglieri, Rahel Signorile, Vera Loizzi, Raffaella Massafra
Publikováno v:
Cancer Medicine, Vol 13, Iss 12, Pp n/a-n/a (2024)
Abstract Background Accurate characterization of newly diagnosed a solid adnexal lesion is a key step in defining the most appropriate therapeutic approach. Despite guidance from the International Ovarian Tumor Analyzes Panel, the evaluation of these
Externí odkaz:
https://doaj.org/article/44af02c27261412ca746736e2556be09
Publikováno v:
The Once-Only Principle ISBN: 9783030798505
The Once-Only Principle
The Once-Only Principle
While information security nowadays represents a core concern for any organization, Trust Management is usually less elaborated and is only important when two or more organizations cooperate towards a common objective. The overall Once-Only Principle
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0a5fa04e6589d37c97d9541448e9667b
https://doi.org/10.1007/978-3-030-79851-2_7
https://doi.org/10.1007/978-3-030-79851-2_7
Autor:
Neriman Ozada, Fabrizio Scarpa, Mostafa Ranjbar, Sophoclis Patsias, Luca Boldrin, Mohammad Sadegh Mazloomi
Publikováno v:
Composite Structures. 187:593-603
This paper describes the vibroacoustic behavior of sandwich panels with a novel core topology made from 2-dimensionally gradient auxetic hexagonal honeycombs. The 2D gradient core enables a tailoring of localized mechanical properties of the sandwich
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7283104f6e8da6b7e6a4dae4b1c521b7
https://doi.org/10.1016/j.compstruct.2017.10.077
https://doi.org/10.1016/j.compstruct.2017.10.077