Longitudinally monitored immune biomarkers predict the timing of COVID-19 outcomes.
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| Title: | Longitudinally monitored immune biomarkers predict the timing of COVID-19 outcomes. |
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| Authors: | Lasso, Gorka1 (AUTHOR), Khan, Saad2 (AUTHOR), Allen, Stephanie A.3 (AUTHOR), Mariano, Margarette4 (AUTHOR), Florez, Catalina1,5 (AUTHOR), Orner, Erika P.6 (AUTHOR), Quiroz, Jose A.3 (AUTHOR), Quevedo, Gregory4 (AUTHOR), Massimi, Aldo4 (AUTHOR), Hegde, Aditi7 (AUTHOR), Wirchnianski, Ariel S.1,4 (AUTHOR), Bortz III, Robert H.1 (AUTHOR), Malonis, Ryan J.4 (AUTHOR), Georgiev, George I.4 (AUTHOR), Tong, Karen4 (AUTHOR), Herrera, Natalia G.4 (AUTHOR), Morano, Nicholas C.4 (AUTHOR), Garforth, Scott J.4 (AUTHOR), Malaviya, Avinash3 (AUTHOR), Khokhar, Ahmed3 (AUTHOR) |
| Source: | PLoS Computational Biology. 1/18/2022, Vol. 18 Issue 1, p1-29. 29p. 2 Charts, 6 Graphs. |
| Database: | Academic Search Ultimate |
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| ISSN: | 1553734X |
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| DOI: | 10.1371/journal.pcbi.1009778 |