Development of a multiomics model for identification of predictive biomarkers for COVID-19 severity: a retrospective cohort study-Reference-Cited by-同舟云学术

Development of a multiomics model for identification of predictive biomarkers for COVID-19 severity: a retrospective cohort study

Published:2022-09 Issue:9 Volume:4 Page:e632-e645
ISSN:2589-7500
Container-title:The Lancet Digital Health
language:en
Short-container-title:The Lancet Digital Health

Author:

Byeon Seul Kee,Madugundu Anil K,Garapati Kishore,Ramarajan Madan Gopal,Saraswat Mayank,Kumar-M Praveen,Hughes Travis,Shah Rameen,Patnaik Mrinal M,Chia Nicholas,Ashrafzadeh-Kian Susan,Yao Joseph D,Pritt Bobbi S,Cattaneo Roberto,Salama Mohamed E,Zenka Roman M,Kipp Benjamin R,Grebe Stefan K G,Singh Ravinder J,Sadighi Akha Amir A,Algeciras-Schimnich Alicia,Dasari Surendra,Olson Janet E,Walsh Jesse R,Venkatakrishnan A J,Jenkinson Garrett,O'Horo John C,Badley Andrew D,Pandey Akhilesh

Publisher

Elsevier BV

Subject

Health Information Management,Decision Sciences (miscellaneous),Health Informatics,Medicine (miscellaneous)

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