About: Auto-antibodies against type I IFNs in > 10% of critically ill COVID-19 patients: a prospective multicentre study   Goto Sponge  NotDistinct  Permalink

An Entity of Type : owl:Thing, within Data Space : data.idref.fr associated with source document(s)

AttributesValues
Author
Bibliographic Citation
  • Arrestier Romain, Bastard Paul, Belmondo Thibaut, Voiriot Guillaume, Urbina Tomas, Luyt Charles-Edouard, Gervais Adrian, Bizien Lucy, Segaux Lauriane, Ben Ahmed Mariem, Bellaïche Raphaël, Pham Taï, Ait-Hamou Zakaria, Roux Damien, Clere-Jehl Raphael, Azoulay Elie, Gaudry Stéphane, Mayaux Julien, Fage Nicolas, Ait-Oufella Hafid, Moncomble Elsa, Parfait Mélodie, Dorgham Karim, Gorochov Guy, Mekontso-Dessap Armand, Canoui-Poitrine Florence, Casanova Jean-Laurent, Hue Sophie, de Prost Nicolas . Auto-antibodies against type I IFNs in > 10% of critically ill COVID-19 patients: a prospective multicentre study . Annals of Intensive Care, 2022, 12 (1), pp.121 . ⟨10.1186/s13613-022-01095-5⟩
Title
  • Auto-antibodies against type I IFNs in > 10% of critically ill COVID-19 patients: a prospective multicentre study
dc:date
  • 2022
Digital Object Identifier (DOI)
  • 10.1186/s13613-022-01095-5
Faceted Search & Find service v1.13.91 as of Aug 16 2018


Alternative Linked Data Documents: ODE     Content Formats:       RDF       ODATA       Microdata      About   
This material is Open Knowledge   W3C Semantic Web Technology [RDF Data]
OpenLink Virtuoso version 07.20.3229 as of May 14 2019, on Linux (x86_64-pc-linux-gnu), Single-Server Edition (70 GB total memory)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2025 OpenLink Software