Non-linear Generalizable Machine Learning Re-Analysis of Plasma Proteomics and Single-Cell Immune Network for Classification of COVID-19 Severity

Authors

• Félix E. Rivera-Mariani, Lynn UniversityFollow
• Tashoy Campbell, RIPLRT Institute
• Megan Ramsey, RIPLRT Institute
• Benjamin Bolaños-Rosero, University of Puerto Rico - Medical Sciences Campus

Document Type

Article

Publication Date

7-28-2026

UN Sustainable Development Goals (SDGs)

Goal 3: Good Health and Well-Being

DOI Link

https://doi.org/10.1093/jimmun/vkag141.1059

Publication

Journal of Immunology

Publisher

Oxford University Press

Volume

215

Issue

Issue Supplement_1

Pages

2262757

Department

College of Arts and Sciences

Peer Reviewed

1

Recommended Citation

Rivera-Mariani, F. E., Campbell, T., Ramsey, M., & Bolaños-Rosero, B. (2026) Non-linear generalizable machine learning re-analysis of plasma proteomics and single-cell immune network for classification of COVID-19 severity. The Journal of Immunology, 215(Supplement_1), 2262757. https://doi.org/10.1093/jimmun/vkag141.1059