Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Rafael Silva e Castro"'
Autor:
Luciana Santiago, Marcela Helena Gonçalves-Pereira, Mariana Sousa Vieira, Cecilia Gómez Ravetti, Paula Frizera Vassallo, Rafael Silva e Castro, Pedro Pires Costa Pimenta, Marcus Vinícius Melo de Andrade, Helton da Costa Santiago, Vandack Nobre
Publikováno v:
Viruses, Vol 15, Iss 8, p 1704 (2023)
Critical COVID-19 has been associated with altered patterns of cytokines. Distinct inflammatory processes in systemic and pulmonary sites have been reported, but studies comparing these two sites are still scarce. We aimed to evaluate the profile of
Externí odkaz:
https://doaj.org/article/18656e9a79a14e179dbd945c0c70a369
Autor:
Ronan de Souza, Cecilia Gómez Ravetti, Rafael Silva e Castro, Elio Furbino Frossard, Isabella Santanna dos Anjos, Angélica Gomides dos Reis Gomes, Paula Frizera Vassallo, Vandack Nobre
Introduction: Enteral catheter (EC) nutrition is the most commonly used alternative in critically ill patients who require nutritional therapy. The incorrect positioning of the EC can result in severe complications. The plain X-ray, the gold standard
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0b6f44334d554c87920ce94acec31d32
https://doi.org/10.21203/rs.3.rs-1946933/v1
https://doi.org/10.21203/rs.3.rs-1946933/v1
Autor:
Ana Cristina Simões e Silva, Sara Tavares Araújo, Clara Tavares Araújo, Rafael Silva e Castro, Lara Machado de Oliveira Brügger, Nathália Gualberto Souza e Silva, Debora Marques de Miranda
Publikováno v:
Current medicinal chemistry.
Background and Objective: Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection commonly leads to neurologic manifestations. In the present review, we aimed to investigate potential neuroimaging markers of early diagnosis and prognos
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9953c6c645ada0ec7e023ae356a074a8
https://pubmed.ncbi.nlm.nih.gov/35786328
https://pubmed.ncbi.nlm.nih.gov/35786328
Publikováno v:
IJCNN
Learning distributed representations in graphs has a rising interest in the neural network community. Recent works have proposed new methods for learning low dimensional embeddings of nodes and edges in graphs and networks. Several of these methods r
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::be7726ed3bf9d69d192fee31ce108e38
https://doi.org/10.1109/ijcnn.2019.8852262
https://doi.org/10.1109/ijcnn.2019.8852262