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, M.; Pelaia, T.M.; Teoh, S.; Wang, Y.; McLean, A.; Tang, B.; Shojaei, M.; Chew, T.; Phu, A.; Iredell, J.; Kim, K.; Zerbib, Y.; Schughart, K.; Short, K.R.; Pelaia, T.M.; Cirmena, G.; Ballestrero, A.; Cripps, A.; Cox, A.; De Maria, A.; Kulasinghe, A.; Feng, C.; Chaussabel, D.; Rinchai, D.; Bedognetti, D.; Zoppoli, G.; Gunawan, G.; Thevarajan, I.; Audsley, J.; Eden, J.-S.; Kralovcova, M.; Nalos, M.; Radic, M.; Matejovic, M.; Bedognetti, M.; Prucha, M.; Toufiq, M.; Teluguakula, N.; West, N.; Cremonesi, P.; Britton, P.; Branco, R.G.; Bilyy, R.; MacDonald, S.; Karvunidis, T.; Kwan, T.; Herwanto, V.; Kuan, W.S.
Source
In: The Lancet Microbe . (The Lancet Microbe, March 2024, 5(3):e272-e281)
Subject
Language
English
ISSN
26665247