Zobrazeno 1 - 10
of 96
pro vyhledávání: '"Francesco Rinaldi"'
Autor:
Beatrice Balboni, Roberto Marotta, Francesco Rinaldi, Giulia Milordini, Giulia Varignani, Stefania Girotto, Andrea Cavalli
Publikováno v:
Communications Biology, Vol 7, Iss 1, Pp 1-12 (2024)
Abstract Human RAD52 (RAD52) is a DNA-binding protein involved in many DNA repair mechanisms and genomic stability maintenance. In the last few years, this protein was discovered to be a promising novel pharmacological target for anticancer strategie
Externí odkaz:
https://doaj.org/article/dfbf239bf1644e1fa6ef708151c25101
Autor:
Alessandra D’Abramo, Francesco Rinaldi, Serena Vita, Riccardo Mazzieri, Angela Corpolongo, Claudia Palazzolo, Tommaso Ascoli Bartoli, Francesca Faraglia, Maria Letizia Giancola, Enrico Girardi, Emanuele Nicastri
Publikováno v:
Malaria Journal, Vol 23, Iss 1, Pp 1-7 (2024)
Abstract Background The aim of this study is to design ad hoc malaria learning (ML) approaches to predict clinical outcome in all patients with imported malaria and, therefore, to identify the best clinical setting. Methods This is a single-centre cr
Externí odkaz:
https://doaj.org/article/c06dc969a6314493963a5a990f2c4b7e
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-9 (2024)
Abstract Collaboration is a key driver of science and innovation. Mainly motivated by the need to leverage different capacities and expertise to solve a scientific problem, collaboration is also an excellent source of information about the future beh
Externí odkaz:
https://doaj.org/article/a70defae66924413bb90a2450e8bf35b
Publikováno v:
EURO Journal on Computational Optimization, Vol 11, Iss , Pp 100079- (2023)
Graph Semi-Supervised learning is an important data analysis tool, where given a graph and a set of labeled nodes, the aim is to infer the labels to the remaining unlabeled nodes. In this paper, we start by considering an optimization-based formulati
Externí odkaz:
https://doaj.org/article/d9a57e94ebf04763bf0885ca7465a2b0
Autor:
Laura Pasetto, Stefano Callegaro, Alessandro Corbelli, Fabio Fiordaliso, Deborah Ferrara, Laura Brunelli, Giovanna Sestito, Roberta Pastorelli, Elisa Bianchi, Marina Cretich, Marcella Chiari, Cristina Potrich, Cristina Moglia, Massimo Corbo, Gianni Sorarù, Christian Lunetta, Andrea Calvo, Adriano Chiò, Gabriele Mora, Maria Pennuto, Alessandro Quattrone, Francesco Rinaldi, Vito Giuseppe D’Agostino, Manuela Basso, Valentina Bonetto
Publikováno v:
Molecular Neurodegeneration, Vol 16, Iss 1, Pp 1-21 (2021)
Abstract Background Amyotrophic lateral sclerosis (ALS) is a multifactorial, multisystem motor neuron disease for which currently there is no effective treatment. There is an urgent need to identify biomarkers to tackle the disease’s complexity and
Externí odkaz:
https://doaj.org/article/c1ded2cb5e844a29a6fd916295a220b1
Autor:
Beatrice Balboni, Francesco Rinaldi, Viola Previtali, Andrea Ciamarone, Stefania Girotto, Andrea Cavalli
Publikováno v:
Cancers, Vol 15, Iss 6, p 1817 (2023)
In recent years, the RAD52 protein has been highlighted as a mediator of many DNA repair mechanisms. While RAD52 was initially considered to be a non-essential auxiliary factor, its inhibition has more recently been demonstrated to be synthetically l
Externí odkaz:
https://doaj.org/article/87d642d97e9e4b0c8dbe64f3ff2f6ede
Autor:
Fabrizio Schipani, Marcella Manerba, Roberto Marotta, Laura Poppi, Arianna Gennari, Francesco Rinaldi, Andrea Armirotti, Fulvia Farabegoli, Marinella Roberti, Giuseppina Di Stefano, Walter Rocchia, Stefania Girotto, Nicola Tirelli, Andrea Cavalli
Publikováno v:
International Journal of Molecular Sciences, Vol 23, Iss 15, p 8338 (2022)
The cytotoxic action of anticancer drugs can be potentiated by inhibiting DNA repair mechanisms. RAD51 is a crucial protein for genomic stability due to its critical role in the homologous recombination (HR) pathway. BRCA2 assists RAD51 fibrillation
Externí odkaz:
https://doaj.org/article/21950c5ffdd04e5b84a16581e5a3f2d7
Autor:
Riccardo Pellegrini, Andrea Serani, Giampaolo Liuzzi, Francesco Rinaldi, Stefano Lucidi, Matteo Diez
Publikováno v:
Mathematics, Vol 10, Iss 3, p 481 (2022)
The paper presents a multi-fidelity extension of a local line-search-based derivative-free algorithm for nonsmooth constrained optimization (MF-CS-DFN). The method is intended for use in the simulation-driven design optimization (SDDO) context, where
Externí odkaz:
https://doaj.org/article/74e82faf14ad44fc90557f9d808e2244
Autor:
Dieter Wolke, Jason Madan, Jatinder Singh, Federico Fiori, Paramala Santosh, Helena Tuomainen, Swaran Singh, Laura Adams, Mathilde Mastroianni, Natalie Heaney, Kate Lievesley, Ilyas Sagar-Ouriaghli, Giovanni Allibrio, Rebecca Appleton, Nikolina Davidović, Giovanni de Girolamo, Gwen Dieleman, Katarina Dodig-Ćurković, Tomislav Franić, Charlotte Gatherer, Suzanne Gerritsen, Elisa Gheza, Lidia Manenti, Athanasios Maras, Francesco Margari, Adriana Pastore, Moli Paul, Diane Purper-Ouakil, Francesco Rinaldi, Vehbi Sakar, Ulrike Schulze, Giulia Signorini, Cathy Street, Priya Tah, Sabine Tremmery, Amanda Tuffrey, Frank Verhulst, Anna Wilson
Publikováno v:
BMJ Open, Vol 10, Iss 6 (2020)
Objective Young people moving from child and adolescent mental health services (CAMHS) to adult mental health services (AMHS) are faced with significant challenges. To improve this state of affairs, there needs to be a recognition of the problem and
Externí odkaz:
https://doaj.org/article/d74a5017dfeb45528ddb56ab86204944
Autor:
Riccardo Pellegrini, Andrea Serani, Giampaolo Liuzzi, Francesco Rinaldi, Stefano Lucidi, Matteo Diez
Publikováno v:
Mathematics, Vol 8, Iss 4, p 546 (2020)
The paper presents a multi-objective derivative-free and deterministic global/local hybrid algorithm for the efficient and effective solution of simulation-based design optimization (SBDO) problems. The objective is to show how the hybridization of t
Externí odkaz:
https://doaj.org/article/5925db6e00f84436a97d5ffb1ddbf6ab