학술논문
Host transcriptomics and machine learning for secondary bacterial infections in patients with COVID-19: a prospective, observational cohort study
Document Type
Article
Author
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; Pelaia, Tiana Maria
Source
In The Lancet Microbe March 2024 5(3):e272-e281
Subject
Language
ISSN
2666-5247