Host transcriptomics and machine learning for secondary bacterial infections in patients with COVID-19: a prospective, observational cohort study-Reference-Cited by-同舟云学术

Host transcriptomics and machine learning for secondary bacterial infections in patients with COVID-19: a prospective, observational cohort study

Published:2024-03 Issue:3 Volume:5 Page:e272-e281
ISSN:2666-5247
Container-title:The Lancet Microbe
language:en
Short-container-title:The Lancet Microbe

Author:

Carney Meagan,Pelaia Tiana Maria,Chew Tracy,Teoh Sally,Phu Amy,Kim Karan,Wang Ya,Iredell Jonathan,Zerbib Yoann,McLean Anthony,Schughart Klaus^ORCID,Tang Benjamin,Shojaei Maryam^ORCID,Short Kirsty R^ORCID,Carney Meagan,Pelaia Tiana M,Chew Tracy,Teoh Sally,Phu Amy,Kim Karan,Wang Ya,Iredell Jonathan,Cirmena Gabriella,Ballestrero Alberto,Cripps Allan,Cox Amanda,De Maria Andrea,Kulasinghe Arutha,Feng Carl,Chaussabel Damien,Rinchai Darawan,Bedognetti Davide,Zoppoli Gabriele,Gunawan Gunawan,Thevarajan Irani,Audsley Jennifer,Eden John-Sebastian,Kralovcova Marcela,Nalos Marek,Radic Marko,Matejovic Martin,Bedognetti Michele,Prucha Miroslav,Toufiq Mohammed,Teluguakula Narasaraju,West Nicholas,Cremonesi Paolo,Britton Philip,Branco Ricardo G,Bilyy Rostyslav,MacDonald Stephen,Karvunidis Thomas,Kwan Tim,Herwanto Velma,Kuan Win Sen,Zerbib Yoann,McLean Anthony,Schughart Klaus,Tang Benjamin,Shojaei Maryam,Short Kirsty R

Publisher

Elsevier BV

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