Fully automated diagnosis of MERS-CoV infection in respiratory specimen on the IdyllaTM MDx Platform
Identifieur interne : 000B58 ( Pmc/Checkpoint ); précédent : 000B57; suivant : 000B59Fully automated diagnosis of MERS-CoV infection in respiratory specimen on the IdyllaTM MDx Platform
Auteurs : N. Trost [Luxembourg (pays)] ; A. Gilles [Luxembourg (pays)] ; I. Erquiaga [Luxembourg (pays)] ; H. Kenes [Belgique] ; D. Nauwelaers [Belgique] ; M. Steimer [Luxembourg (pays)] ; W. Carman [Luxembourg (pays)] ; E. Sablon [Belgique]Source :
- Journal of Clinical Virology [ 1386-6532 ] ; 2016.
Url:
DOI: 10.1016/j.jcv.2016.08.067
PubMed: NONE
PubMed Central: 7128325
Affiliations:
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PMC:7128325Le document en format XML
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Fast-track Diagnostics, Esch-sur-Alzette, Luxembourg</aff>
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Biocartis NV, Mechelen, Belgium</aff>
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Corresponding author.</corresp>
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<license><license-p>Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.</license-p>
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