Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Jordi Fortuny-Profitós"'
Autor:
Óscar Gasulla, Maria J. Ledesma-Carbayo, Luisa N. Borrell, Jordi Fortuny-Profitós, Ferran A. Mazaira-Font, Jose María Barbero Allende, David Alonso-Menchén, Josep García-Bennett, Belen Del Río-Carrrero, Hector Jofré-Grimaldo, Aleix Seguí, Jorge Monserrat, Miguel Teixidó-Román, Adrià Torrent, Miguel Ángel Ortega, Melchor Álvarez-Mon, Angel Asúnsolo
Publikováno v:
Frontiers in Bioengineering and Biotechnology, Vol 11 (2023)
Introduction: This study aimed to develop an individualized artificial intelligence model to help radiologists assess the severity of COVID-19’s effects on patients’ lung health.Methods: Data was collected from medical records of 1103 patients di
Externí odkaz:
https://doaj.org/article/8b0efd4064424f829a311aca017ba62d
Autor:
Jorge Monserrat, Angel Asunsolo, Ana Gómez-Lahoz, Miguel A. Ortega, Jose Maria Gasalla, Óscar Gasulla, Jordi Fortuny-Profitós, Ferran A. Mazaira-Font, Miguel Teixidó Román, Alberto Arranz, José Sanz, Benjamin Muñoz, Juan Arévalo-Serrano, José Miguel Rodríguez, Carlos Martínez-A, Dimitri Balomenos, Melchor Álvarez-Mon
Publikováno v:
Biomedicines, Vol 9, Iss 11, p 1675 (2021)
Objective: To describe the capacity of a broad spectrum of cytokines and growth factors to predict ICU admission and/or death in patients with severe COVID-19. Design: An observational, analytical, retrospective cohort study with longitudinal follow-
Externí odkaz:
https://doaj.org/article/b1d72c62152a471b83fc33cb7348db60
Autor:
Jordi Fortuny-Santos, Patxi Ruiz-de-Arbulo-López, Lluís Cuatrecasas-Arbós, Jordi Fortuny-Profitós
Publikováno v:
Applied Sciences, Vol 10, Iss 24, p 8829 (2020)
While multi-model assembly lines are used by advanced lean companies because of their flexibility (different models of a product are produced in small lots and reach the customers in a short lead time), most of the extant literature on how to staff a
Externí odkaz:
https://doaj.org/article/d672839775a948608546e98fe87d2956
Autor:
Jordi Fortuny-Profitós, Ángel Asúnsolo, Jorge Monserrat, Juan Arévalo-Serrano, Carlos Martínez-A, Óscar Gasulla, Miguel A Ortega, Alberto Arranz, José Miguel Rodríguez, Ana M Gómez-Lahoz, Miguel Teixidó Román, Dimitri Balomenos, Ferran A. Mazaira-Font, Melchor Alvarez-Mon, Jose Maria Gasalla, José Sanz, Benjamin Muñoz
Publikováno v:
Biomedicines
Volume 9
Issue 11
Digital.CSIC. Repositorio Institucional del CSIC
instname
Biomedicines, Vol 9, Iss 1675, p 1675 (2021)
Dipòsit Digital de la UB
Universidad de Barcelona
Volume 9
Issue 11
Digital.CSIC. Repositorio Institucional del CSIC
instname
Biomedicines, Vol 9, Iss 1675, p 1675 (2021)
Dipòsit Digital de la UB
Universidad de Barcelona
Objective: To describe the capacity of a broad spectrum of cytokines and growth factors to predict ICU admission and/or death in patients with severe COVID-19. Design: An observational, analytical, retrospective cohort study with longitudinal follow-
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b3165347c3573d9e835c6db399717a8f
http://hdl.handle.net/2445/181874
http://hdl.handle.net/2445/181874
Autor:
Ferran A. Mazaira-Font, Daniel Troncoso, María N Plana, Benjamin Muñoz, Pablo Saurina, Jorge Monserrat, Angel Asúnsolo-Del Barco, Jose F Varona, Miguel A Ortega, José Sanz Moreno, Jordi Fortuny-Profitós, Óscar Gasulla, Alberto Arranz, Melchor Alvarez-Mon, Alejandro López-Escobar
Publikováno v:
Journal of Personalized Medicine
Volume 11
Issue 1
Journal of Personalized Medicine, Vol 11, Iss 36, p 36 (2021)
Digital.CSIC. Repositorio Institucional del CSIC
instname
Dipòsit Digital de la UB
Universidad de Barcelona
E-Prints Complutense. Archivo Institucional de la UCM
Universidad Europea (UEM)
Volume 11
Issue 1
Journal of Personalized Medicine, Vol 11, Iss 36, p 36 (2021)
Digital.CSIC. Repositorio Institucional del CSIC
instname
Dipòsit Digital de la UB
Universidad de Barcelona
E-Prints Complutense. Archivo Institucional de la UCM
Universidad Europea (UEM)
This study aimed to create an individualized analysis model of the risk of intensive care unit (ICU) admission or death for coronavirus disease 2019 (COVID-19) patients as a tool for the rapid clinical management of hospitalized patients in order to