Machine Learning Reassessment of Serum Immune Factors Shows No Unique Immune Profiles Linked to Disease Outcomes in SARS-CoV-2-infected Patients at Hospital Admittance.

ABSTRACT: The complex pathophysiology of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) involves a hyperinflammatory state with excessive cytokine production, leading to an influenza-like syndrome that may need emergency care. The severity of SARS-CoV-2 varies widely, and collective serum immune factors, evaluated in emergency care patients, have not been shown to correlate with disease progression. We applied a machine learning approach to reassess and define serum immune profiles that could align with clinical laboratory parameters and predict disease outcomes in patients with respiratory virus infections, including those with SARS-CoV-2, seeking emergency care. Sixty-two plasma immune molecules, in a cohort of 67 symptomatic SARS-CoV-2, were analyzed for correlation with antibodies

SUBMITTER: Rossi S 

PROVIDER: S-EPMC12292737 | biostudies-literature | 2025 Jul

REPOSITORIES: biostudies-literature