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

Seul Kee Byeon(Mayo Clinic in Arizona), Akhilesh Pandey(Mayo Clinic), John C. O’Horo(Mayo Clinic), Joseph D. Yao(Purdue University West Lafayette), Tudor Hughes(University of Montana), Andrew D. Badley(Mayo Clinic), Benjamin R. Kipp(Mayo Clinic in Arizona), Rameen Shah(Mayo Clinic), Madan Gopal Ramarajan(Manipal Academy of Higher Education), Anil K. Madugundu(Institute of Bioinformatics), Susan Ashrafzadeh‐Kian(Mayo Clinic in Arizona), Mohamed E. Salama(The University of Texas at San Antonio Health Science Center), Mayank Saraswat(Manipal Academy of Higher Education), Nicholas Chia(Mayo Clinic), Garrett Jenkinson(Johns Hopkins University), Alicia Algeciras‐Schimnich(Mayo Clinic), Amir A. Sadighi Akha(Mayo Clinic), Stefan K. Grebe(Mayo Clinic), Jesse R. Walsh(Mayo Clinic in Florida), A J Venkatakrishnan(Nference (United States)), Surendra Dasari(Mayo Clinic in Arizona), Kishore Garapati(Manipal Academy of Higher Education), Roman M. Zenka(Mayo Clinic in Florida), Mrinal M. Patnaik(Mayo Clinic), Roberto Cattaneo(Mayo Clinic in Arizona), Praveen Kumar(Post Graduate Institute of Medical Education and Research), Janet E. Olson(Cornell University), Ravinder J. Singh(Mayo Clinic), Bobbi S. Pritt(WinnMed)
The Lancet Digital Health
July 11, 2022
Cited by 91


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