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

The Lancet Digital Health - Tập 4 - Trang e632-e645 - 2022
Seul Kee Byeon1, Anil K Madugundu1,2,3,4, Kishore Garapati1,2,3,4, Madan Gopal Ramarajan1,2,3,4, Mayank Saraswat1,4, Praveen Kumar-M5, Travis Hughes6, Rameen Shah7, Mrinal M Patnaik8,9, Nicholas Chia9,10, Susan Ashrafzadeh-Kian1, Joseph D Yao1, Bobbi S Pritt1, Roberto Cattaneo11, Mohamed E Salama1, Roman M Zenka12, Benjamin R Kipp1, Stefan K G Grebe1, Ravinder J Singh1, Amir A Sadighi Akha1
1Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA
2Institute of Bioinformatics, International Technology Park, Bangalore, Karnataka, India
3Center for Molecular Medicine, National Institute of Mental Health and Neurosciences, Bangalore, Karnataka, India
4Manipal Academy of Higher Education, Manipal, Karnataka, India
5nference Labs, Bangalore, Karnataka, India
6nference, Cambridge, MA, USA
7Department of Biochemistry and Molecular Biology, Mayo Clinic, Rochester, MN, USA
8Department of Internal Medicine, Mayo Clinic, Rochester, MN, USA
9Center for Individualized Medicine, Mayo Clinic, Rochester, MN, USA
10Department of Surgery, Mayo Clinic, Rochester, MN, USA
11Department of Molecular Medicine, Mayo Clinic, Rochester, MN, USA
12Proteomics Core, Mayo Clinic, Rochester, MN, USA

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