Zobrazeno 1 - 10
of 836
pro vyhledávání: '"TONUTTI, P."'
Autor:
Maria De Santis, Carlo Selmi, Angela Ceribelli, Stefanos Bonovas, Francesca Motta, Antonio Tonutti, Natasa Isailovic, Rita Ragusa, Emanuele Nappi
Publikováno v:
RMD Open, Vol 10, Iss 3 (2024)
Objective Systemic sclerosis (SSc) is associated with an increased risk of cancer. We aimed to assess the prevalence of cancer in our cohort and to explore possible associations with clinical, immunological and treatment characteristics.Methods Our r
Externí odkaz:
https://doaj.org/article/6ebc8d8768d04041b9fac8a561e4652e
Publikováno v:
Frontiers in Nutrition, Vol 11 (2024)
IntroductionOlive oil is a widely recognized and appreciated food commodity, its quality and health benefits can be compromised when the oil goes through oxidative processes that may occur during production and storage. This study aimed to investigat
Externí odkaz:
https://doaj.org/article/00b46453f50648cdb2bc22271b1e6da8
Autor:
Francesco Blasi, Stefano Aliberti, Antonio Voza, Gabriele Bongiovanni, Antonio Tonutti, Anna Stainer, Mattia Nigro, Dean L Kellogg, Anoop Nambiar, Andrea Gramegna, Marco Mantero, Francesco Amati
Publikováno v:
BMJ Open Respiratory Research, Vol 11, Iss 1 (2024)
Objectives Vasoactive drugs have exhibited clinical efficacy in addressing pulmonary arterial hypertension, manifesting a significant reduction in morbidity and mortality. Pulmonary hypertension may complicate advanced interstitial lung disease (PH-I
Externí odkaz:
https://doaj.org/article/83888c04e1cb47bc9c942bccd30079d7
Autor:
Izdebski, Adam, Thoral, Patrick J., Lalisang, Robbert C. A., McHugh, Dean M., Gommers, Diederik, Cremer, Olaf L., Bosman, Rob J., Rigter, Sander, Wils, Evert-Jan, Frenzel, Tim, Dongelmans, Dave A., de Jong, Remko, Peters, Marco A. A., Kamps, Marlijn J. A, Ramnarain, Dharmanand, Nowitzky, Ralph, Nooteboom, Fleur G. C. A., de Ruijter, Wouter, Urlings-Strop, Louise C., Smit, Ellen G. M., Mehagnoul-Schipper, D. Jannet, Dormans, Tom, de Jager, Cornelis P. C., Hendriks, Stefaan H. A., Achterberg, Sefanja, Oostdijk, Evelien, Reidinga, Auke C., Festen-Spanjer, Barbara, Brunnekreef, Gert B., Cornet, Alexander D., Tempel, Walter van den, Boelens, Age D., Koetsier, Peter, Lens, Judith, Faber, Harald J., Karakus, A., Entjes, Robert, de Jong, Paul, Rettig, Thijs C. D., Arbous, Sesmu, Fleuren, Lucas M., Dam, Tariq A., Tonutti, Michele, de Bruin, Daan P., Elbers, Paul W. G., Cinà, Giovanni
Despite the recent progress in the field of causal inference, to date there is no agreed upon methodology to glean treatment effect estimation from observational data. The consequence on clinical practice is that, when lacking results from a randomiz
Externí odkaz:
http://arxiv.org/abs/2109.06707
In a data-scarce field such as healthcare, where models often deliver predictions on patients with rare conditions, the ability to measure the uncertainty of a model's prediction could potentially lead to improved effectiveness of decision support to
Externí odkaz:
http://arxiv.org/abs/2004.05824
Akademický článek
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Autor:
Clodoveo Ferri, Vincenzo Raimondo, Dilia Giuggioli, Laura Gragnani, Serena Lorini, Lorenzo Dagna, Silvia Laura Bosello, Rosario Foti, Valeria Riccieri, Serena Guiducci, Giovanna Cuomo, Antonio Tavoni, Rossella De Angelis, Fabio Cacciapaglia, Elisabetta Zanatta, Franco Cozzi, Giuseppe Murdaca, Ilaria Cavazzana, Nicoletta Romeo, Veronica Codullo, Roberta Pellegrini, Giuseppe Varcasia, Maria De Santis, Carlo Selmi, Giuseppina Abignano, Maurizio Caminiti, Massimo L'Andolina, Domenico Olivo, Ennio Lubrano, Amelia Spinella, Federica Lumetti, Giacomo De Luca, Piero Ruscitti, Teresa Urraro, Marcella Visentini, Silvia Bellando-Randone, Elisa Visalli, Davide Testa, Gabriella Sciascia, Francesco Masini, Greta Pellegrino, Francesca Saccon, Eugenia Balestri, Giusy Elia, Silvia Martina Ferrari, Antonio Tonutti, Francesca Dall’Ara, Giuseppa Pagano Mariano, Giorgio Pettiti, Giovanni Zanframundo, Raffaele Brittelli, Vincenzo Aiello, Ylenia Dal Bosco, Roberta Foti, Ilenia Di Cola, Daniela Scorpiniti, Enrico Fusaro, Tommaso Ferrari, Pietro Gigliotti, Corrado Campochiaro, Francesca Francioso, Carlo Iandoli, Virginia Caira, Anna Linda Zignego, Salvatore D'Angelo, Franco Franceschini, Marco Matucci-Cerinic, Roberto Giacomelli, Andrea Doria, Stefano Angelo Santini, Poupak Fallahi, Florenzo Iannone, Alessandro Antonelli
Publikováno v:
Journal of Translational Autoimmunity, Vol 7, Iss , Pp 100212- (2023)
Introduction: The impact of COVID-19 pandemic represents a serious challenge for ‘frail’ patients' populations with inflammatory autoimmune systemic diseases such as systemic sclerosis (SSc). We investigated the prevalence and severity of COVID-1
Externí odkaz:
https://doaj.org/article/ca076696fcce46498b08dcb422675daf
Publikováno v:
In Scientia Horticulturae 1 August 2023 318
Bayesian Modelling in Practice: Using Uncertainty to Improve Trustworthiness in Medical Applications
The Intensive Care Unit (ICU) is a hospital department where machine learning has the potential to provide valuable assistance in clinical decision making. Classical machine learning models usually only provide point-estimates and no uncertainty of p
Externí odkaz:
http://arxiv.org/abs/1906.08619
Publikováno v:
Robot.Auton.Syst. 115 (2019) 162-173
Through deep learning and computer vision techniques, driving manoeuvres can be predicted accurately a few seconds in advance. Even though adapting a learned model to new drivers and different vehicles is key for robust driver-assistance systems, thi
Externí odkaz:
http://arxiv.org/abs/1902.09820