A multi-omics recovery factor predicts long COVID in the IMPACC study

By afschroeder • September 10, 2025

Gabernet G, Maciuch J, Gygi JP, Moore JF, Hoch A, Syphurs C, Chu T, Doni Jayavelu N, Corry DB, Kheradmand F, Baden LR, Sekaly RP, McComsey GA, Haddad EK, Cairns CB, Rouphael N, Fernandez-Sesma A, Simon V, Metcalf JP, Agudelo Higuita NI, Hough CL, Messer WB, Davis MM, Nadeau KC, Pulendran B, Kraft M, Bime C, Reed EF, Schaenman J, Erle DJ, Calfee CS, Atkinson MA, Brakenridge SC, Melamed E, Shaw AC, Hafler DA, Augustine AD, Becker PM, Ozonoff A, Bosinger SE, Eckalbar W, Maecker HT, Kim-Schulze S, Steen H, Krammer F, Westendorf K, Network I, Peters B, Fourati S, Altman MC, Levy O, Smolen KK, Montgomery RR, Diray-Arce J, Kleinstein SH, Guan L, Ehrlich LI. A multi-omics recovery factor predicts long COVID in the IMPACC study. J Clin Invest. 2025 Sep 9:e193698. doi: 10.1172/JCI193698. Epub ahead of print. PMID: 40924481.

Tags: biomarkers, covid-19, Immunology, infectious disease, Infectious Diseases, machine learning, Publications

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