Zobrazeno 1 - 10
of 6 559
pro vyhledávání: '"Musto, P"'
The paper proposes a novel approach of survival transformers and extreme gradient boosting models in predicting cognitive deterioration in individuals with mild cognitive impairment (MCI) using metabolomics data in the ADNI cohort. By leveraging adva
Externí odkaz:
http://arxiv.org/abs/2409.16231
Autor:
Gianluca Cavallaro, Anna Grassi, Chiara Pavoni, Maria Caterina Micò, Alessandro Busca, Irene Maria Cavattoni, Stella Santarone, Carlo Borghero, Attilio Olivieri, Giuseppe Milone, Patrizia Chiusolo, Pellegrino Musto, Riccardo Saccardi, Francesca Patriarca, Fabrizio Pane, Giorgia Saporiti, Paolo Rivela, Elisabetta Terruzzi, Raffaella Cerretti, Giuseppe Marotta, Angelo Michele Carella, Arnon Nagler, Domenico Russo, Paolo Corradini, Paolo Bernasconi, Anna Paola Iori, Luca Castagna, Nicola Mordini, Elena Oldani, Carmen Di Grazia, Andrea Bacigalupo, Alessandro Rambaldi
Publikováno v:
Blood Cancer Journal, Vol 14, Iss 1, Pp 1-7 (2024)
Abstract We report the long-term results of a randomized trial (GITMO, AML-R2), comparing 1:1 the combination of busulfan and cyclophosphamide (BuCy2, n = 125) and the combination of busulfan and fludarabine (BuFlu, n = 127) as conditioning regimen i
Externí odkaz:
https://doaj.org/article/3d88f978b9834d21ac204c0a720eb318
This paper explores deterioration in Alzheimers Disease using Machine Learning. Subjects were split into two datasets based on baseline diagnosis (Cognitively Normal, Mild Cognitive Impairment), with outcome of deterioration at final visit (a binomia
Externí odkaz:
http://arxiv.org/abs/2306.10334
Machine learning models that aim to predict dementia onset usually follow the classification methodology ignoring the time until an event happens. This study presents an alternative, using survival analysis within the context of machine learning tech
Externí odkaz:
http://arxiv.org/abs/2306.10330
The rise of Alzheimers Disease worldwide has prompted a search for efficient tools which can be used to predict deterioration in cognitive decline leading to dementia. In this paper, we explore the potential of survival machine learning as such a too
Externí odkaz:
http://arxiv.org/abs/2306.10326
Autor:
Francesca Fazio, Maria Teresa Petrucci, Laura Corvatta, Alfonso Piciocchi, Roberta Della Pepa, Paola Tacchetti, Maurizio Musso, Renato Zambello, Angelo Belotti, Sara Bringhen, Elisabetta Antonioli, Concetta Conticello, Nicola Di Renzo, Valerio De Stefano, Pellegrino Musto, Barbara Gamberi, Daniele Derudas, Mario Boccadoro, Massimo Offidani, Sonia Morè
Publikováno v:
eJHaem, Vol 5, Iss 3, Pp 485-493 (2024)
Abstract Belantamab mafodotin is the first‐in‐class antibody‐drug conjugates targeting B‐cell maturation antigen to have demonstrated effectiveness in triple‐class refractory multiple myeloma (TCR‐MM) patients. We performed a retrospectiv
Externí odkaz:
https://doaj.org/article/7725cc7a33b84acb8c1ed168063ccd72
Autor:
Mattia D’Agostino, Delia Rota-Scalabrini, Angelo Belotti, Luca Bertamini, Maddalena Arigoni, Giovanni De Sabbata, Giuseppe Pietrantuono, Anna Pascarella, Patrizia Tosi, Francesco Pisani, Norbert Pescosta, Marina Ruggeri, Jennifer Rogers, Martina Olivero, Mariagrazia Garzia, Piero Galieni, Ombretta Annibali, Federico Monaco, Anna Marina Liberati, Salvatore Palmieri, Paola Stefanoni, Elena Zamagni, Benedetto Bruno, Raffaele Adolfo Calogero, Mario Boccadoro, Pellegrino Musto, Francesca Gay
Publikováno v:
Blood Cancer Journal, Vol 14, Iss 1, Pp 1-9 (2024)
Abstract Additional copies of chromosome 1 long arm (1q) are frequently found in multiple myeloma (MM) and predict high-risk disease. Available data suggest a different outcome and biology of patients with amplification (Amp1q, ≥4 copies of 1q) vs.
Externí odkaz:
https://doaj.org/article/de9018c7e2514cbf84b93ad1e4029993
Digital media have enabled the access to unprecedented literary knowledge. Authors, readers, and scholars are now able to discover and share an increasing amount of information about books and their authors. Notwithstanding, digital archives are stil
Externí odkaz:
http://arxiv.org/abs/2212.13104
Autor:
Pellegrino Musto, Nicola Sgherza
Publikováno v:
Mediterranean Journal of Hematology and Infectious Diseases, Vol 16, Iss 1 (2024)
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Externí odkaz:
https://doaj.org/article/07d091fd089345989a68d5b044bdad7c
Autor:
Nawzad Saeed, Narin Musto
Publikováno v:
گۆڤارا زانستێن مرۆڤایەتی یا زانكۆیا زاخۆ, Vol 12, Iss 3 (2024)
يستهدف البحث الحالي إلى دراسة التغيرات الرئيسية في الإطار المفاهيمي للإبلاغ المالي الصادر عن مجلس معايير المحاسبة الدولية لعام (2018) ومرد
Externí odkaz:
https://doaj.org/article/052a9c7e1e68479285a983cb5866265a