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This paper is in the following e-collection/theme issue:

Computer-Aided Diagnosis (446) Ontologies, Classifications, and Coding (473) Secondary Use of Clinical Data for Research and Surveillance (664) Machine Learning (3353) Immunology, Allergy, Rheumatology (206) Registered Report (1587) Precision Medicine (454) Theme Issue: Medical Informatics and COVID-19 (173)

Published on in Vol 14 (2026)

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Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/78471, first published .
Healthcare worker in blue gloves administers vaccine injection to patient.

Early Immunological Biomarkers for Personalized Treatment Selection in Severe COVID-19: Post Hoc Machine Learning Analysis of a Randomized Clinical Trial

Early Immunological Biomarkers for Personalized Treatment Selection in Severe COVID-19: Post Hoc Machine Learning Analysis of a Randomized Clinical Trial

Authors of this article:

Symeon Savvopoulos1, 2 Author Orcid Image ;   Anastasia Papadopoulou3, 4 Author Orcid Image ;   Georgios Karavalakis3 Author Orcid Image ;   Ioanna Sakellari3 Author Orcid Image ;   Grigorios Georgolopoulos3 Author Orcid Image ;   Christos Argyropoulos5, 6, 7 Author Orcid Image ;   Evangelia Yannaki3, 8 Author Orcid Image ;   Haralampos Hatzikirou1, 9 Author Orcid Image
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Journals

  1. Johnson M, Conway J, Liao L, Hilbert D, Jensen E, McCoy D, Guan Y, Zhang Y, Brown M, Byrne D, De Anda C. Analysis of Virologic and Clinical Predictors for Hospitalization, Supported by Machine Learning, in a Phase 3 Molnupiravir COVID‐19 Treatment Trial. Clinical and Translational Science 2026;19(10) View