Combining label-free Raman spectroscopy and machine learning to identify early biomarkers of COVID-19 disease severity and mortality.

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Bibliographic Details
Title: Combining label-free Raman spectroscopy and machine learning to identify early biomarkers of COVID-19 disease severity and mortality.
Authors: Heidarifard M; Centre de Recherche Azrieli du CHU Sainte-Justine, Montreal, Quebec, Canada.; Université de Montréal, Institute of Biomedical Engineering, Montreal, Quebec, Canada., Ember K; CHU Montreal, Research Centre, Montreal, Quebec, Canada.; Polytechnique Montréal, Department of Engineering Physics, Montreal, Quebec, Canada., Dallaire F; CHU Montreal, Research Centre, Montreal, Quebec, Canada.; Polytechnique Montréal, Department of Engineering Physics, Montreal, Quebec, Canada., Brunet-Ratnasingham E; CHU Montreal, Research Centre, Montreal, Quebec, Canada.; Université de Montréal, Department of Microbiology, Infectiology and Immunology, Montreal, Quebec, Canada., Chen Y; McGill University, Departments of Human Genetics, Epidemiology, and Biostatistics, Montreal, Quebec, Canada.; Jewish General Hospital, McGill University, Lady Davis Institute, Montreal, Quebec, Canada.; 5 Prime Sciences, Montreal, Québec, Canada., Ksantini N; CHU Montreal, Research Centre, Montreal, Quebec, Canada.; Polytechnique Montréal, Department of Engineering Physics, Montreal, Quebec, Canada., Mahfoud M; CHU Montreal, Research Centre, Montreal, Quebec, Canada.; Polytechnique Montréal, Department of Engineering Physics, Montreal, Quebec, Canada., Sheehy G; CHU Montreal, Research Centre, Montreal, Quebec, Canada.; Polytechnique Montréal, Department of Engineering Physics, Montreal, Quebec, Canada., Soudeyns H; Centre de Recherche Azrieli du CHU Sainte-Justine, Montreal, Quebec, Canada.; Emory University School of Medicine, Department of Pathology and Laboratory Medicine, Pathology Advanced Translational Research Unit, Atlanta, Georgia, United States., Jouvet P; Centre de Recherche Azrieli du CHU Sainte-Justine, Montreal, Quebec, Canada.; Université de Montréal, Department of Pediatrics, Montreal, Quebec, Canada., Tse SM; Centre de Recherche Azrieli du CHU Sainte-Justine, Montreal, Quebec, Canada.; Université de Montréal, Department of Pediatrics, Montreal, Quebec, Canada., Quach C; Centre de Recherche Azrieli du CHU Sainte-Justine, Montreal, Quebec, Canada.; Université de Montréal, Department of Microbiology, Infectious Diseases and Immunology, Montreal, Quebec, Canada., Richards B; McGill University, Departments of Human Genetics, Epidemiology, and Biostatistics, Montreal, Quebec, Canada.; Jewish General Hospital, McGill University, Lady Davis Institute, Montreal, Quebec, Canada.; 5 Prime Sciences, Montreal, Québec, Canada.; McGill University, Department of Medicine, Montreal, Quebec, Canada.; King's College London, Department of Twin Research, London, United Kingdom., Kaufmann DE; CHU Montreal, Research Centre, Montreal, Quebec, Canada.; Université de Montréal, Department of Microbiology, Infectiology and Immunology, Montreal, Quebec, Canada.; Lausanne University Hospital and University of Lausanne, Division of Infectious Diseases, Lausanne, Switzerland.; Université de Montréal, Department of Medicine, Montreal, Quebec, Canada., Leblond F; CHU Montreal, Research Centre, Montreal, Quebec, Canada.; Polytechnique Montréal, Department of Engineering Physics, Montreal, Quebec, Canada., Dehaes M; Centre de Recherche Azrieli du CHU Sainte-Justine, Montreal, Quebec, Canada.; Université de Montréal, Institute of Biomedical Engineering, Montreal, Quebec, Canada.; Université de Montréal, Department of Radiology, Radio-oncology and Nuclear Medicine, Montreal, Quebec, Canada.
Source: Journal of biomedical optics [J Biomed Opt] 2026 Apr; Vol. 31 (4), pp. 046005. Date of Electronic Publication: 2026 Apr 15.
Publication Type: Journal Article
Journal Info: Publisher: Published by SPIE--the International Society for Optical Engineering in cooperation with International Biomedical Optics Society Country of Publication: United States NLM ID: 9605853 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1560-2281 (Electronic) Linking ISSN: 10833668 NLM ISO Abbreviation: J Biomed Opt Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1560-2281
DOI:10.1117/1.JBO.31.4.046005