Cargando…
Using EM data to understand COVID-19 pathophysiology
Autores principales: | Dolhnikoff, Marisa, Duarte-Neto, Amaro N, Saldiva, Paulo H N, Caldini, Elia G |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier Ltd.
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7833540/ https://www.ncbi.nlm.nih.gov/pubmed/33453779 http://dx.doi.org/10.1016/S0140-6736(21)00034-9 |
Ejemplares similares
-
Can lung ultrasound predict histologic pattern of lung injury in critically ill patients with COVID-19? Author’s reply
por: de Almeida Monteiro, Renata Aparecida, et al.
Publicado: (2021) -
Using EM data to understand COVID-19 pathophysiology – Authors' reply
por: Dittmayer, Carsten, et al.
Publicado: (2021) -
Histological–ultrasonographical correlation of pulmonary involvement in severe COVID-19
por: Almeida Monteiro, Renata Aparecida, et al.
Publicado: (2020) -
What remains in the pulmonary tissue after acute COVID-19?
por: Duarte-Neto, Amaro Nunes, et al.
Publicado: (2022) -
Extended minimally invasive autopsy: Technical improvements for the investigation of cardiopulmonary events in COVID-19
por: Theodoro-Filho, Jair, et al.
Publicado: (2021)