Zobrazeno 1 - 10
of 1 102
pro vyhledávání: '"Minisci A."'
Monoclonal antibodies against SARS-CoV-2 to prevent COVID-19 worsening in a large multicenter cohort
Autor:
Alessandro Soria, Francesca Graziano, Giulia Ghilardi, Giuseppe Lapadula, Daniela Dalla Gasperina, Simone Vasilij Benatti, Eugenia Quiros-Roldan, Maurizio Milesi, Francesca Bai, Marco Merli, Davide Minisci, Marco Franzetti, Erika Asperges, Filippo Chiabrando, Daria Pocaterra, Alessandro Pandolfo, Fabio Zanini, Domenico Lombardi, Anna Cappelletti, Alban Rugova, Maria Lucia Borghesi, Nicola Squillace, Luigi Pusterla, Stefania Piconi, Paola Morelli, Patrizia Rovere Querini, Raffaele Bruno, Stefano Rusconi, Salvatore Casari, Alessandra Bandera, Fabio Franzetti, Giovanna Travi, Antonella D'Arminio Monforte, Giulia Marchetti, Angelo Pan, Francesco Castelli, Marco Rizzi, Francesco Dentali, Maria Mallardo, Emanuela Rossi, Maria Grazia Valsecchi, Stefania Galimberti, Paolo Bonfanti
Publikováno v:
Heliyon, Vol 10, Iss 16, Pp e36102- (2024)
Objective: Monoclonal antibodies (mAbs) against Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) reduced Coronavirus Disease 2019 (COVID-19) hospitalizations in people at risk of clinical worsening. Real-world descriptions are limited. Me
Externí odkaz:
https://doaj.org/article/5fddc4bd2fa04c85b9f876ac95a6df2b
Autor:
Mainini, L., Serani, A., Rumpfkeil, M. P., Minisci, E., Quagliarella, D., Pehlivan, H., Yildiz, S., Ficini, S., Pellegrini, R., Di Fiore, F., Bryson, D., Nikbay, M., Diez, M., Beran, P.
The paper presents a collection of analytical benchmark problems specifically selected to provide a set of stress tests for the assessment of multifidelity optimization methods. In addition, the paper discusses a comprehensive ensemble of metrics and
Externí odkaz:
http://arxiv.org/abs/2204.07867
Monoclonal antibodies against SARS-CoV-2 to prevent COVID-19 worsening in a large multicenter cohort
Autor:
Soria, Alessandro, Graziano, Francesca, Ghilardi, Giulia, Lapadula, Giuseppe, Gasperina, Daniela Dalla, Benatti, Simone Vasilij, Quiros-Roldan, Eugenia, Milesi, Maurizio, Bai, Francesca, Merli, Marco, Minisci, Davide, Franzetti, Marco, Asperges, Erika, Chiabrando, Filippo, Pocaterra, Daria, Pandolfo, Alessandro, Zanini, Fabio, Lombardi, Domenico, Cappelletti, Anna, Rugova, Alban, Borghesi, Maria Lucia, Squillace, Nicola, Pusterla, Luigi, Piconi, Stefania, Morelli, Paola, Querini, Patrizia Rovere, Bruno, Raffaele, Rusconi, Stefano, Casari, Salvatore, Bandera, Alessandra, Franzetti, Fabio, Travi, Giovanna, D'Arminio Monforte, Antonella, Marchetti, Giulia, Pan, Angelo, Castelli, Francesco, Rizzi, Marco, Dentali, Francesco, Mallardo, Maria, Rossi, Emanuela, Valsecchi, Maria Grazia, Galimberti, Stefania, Bonfanti, Paolo
Publikováno v:
In Heliyon 30 August 2024 10(16)
Autor:
Marchetti, Francesco, Pietropolli, Gloria, Camerota Verdù, Federico Julian, Castelli, Mauro, Minisci, Edmondo
Publikováno v:
In Applied Soft Computing July 2024 159
Reinforcement learning is a popular machine learning paradigm which can find near optimal solutions to complex problems. Most often, these procedures involve function approximation using neural networks with gradient based updates to optimise weights
Externí odkaz:
http://arxiv.org/abs/2006.02986
Autor:
Torreggiani, Andrea, Beccaccioli, Marzia, Verni, Michela, Cecchetti, Valentina, Minisci, Andrea, Reverberi, Massimo, Pontonio, Erica, Rizzello, Carlo Giuseppe
Publikováno v:
In LWT 1 November 2023 189
Publikováno v:
In Aerospace Science and Technology November 2023 142 Part A
Autor:
Perri, Giuseppe, Minisci, Andrea, Montemurro, Marco, Pontonio, Erica, Verni, Michela, Rizzello, Carlo G.
Publikováno v:
In LWT 15 September 2023 187
Publikováno v:
In Renewable and Sustainable Energy Reviews May 2023 178
Autor:
Rossetti, Nicholas, Gerevini, Alfonso E., Olivato, Matteo, Putelli, Luca, Chiari, Mattia, Serina, Ivan, Minisci, Davide, Foca, Emanuele
Publikováno v:
In Procedia Computer Science 2023 225:1542-1551