A machine learning classifier using 33 host immune response mRNAs accurately distinguishes viral and non-viral acute respiratory illnesses in nasal swab samples

BACKGROUND: Viral acute respiratory illnesses (viral ARIs) contribute significantly to human morbidity and mortality worldwide, but their successful treatment requires timely diagnosis of viral etiology, which is complicated by overlap in clinical presentation with the non-viral ARIs. Multiple pande...

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Detalles Bibliográficos
Autores principales: Pandya, Rushika, He, Yudong D., Sweeney, Timothy E., Hasin-Brumshtein, Yehudit, Khatri, Purvesh
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10463681/
https://www.ncbi.nlm.nih.gov/pubmed/37641125
http://dx.doi.org/10.1186/s13073-023-01216-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10463681/
https://www.ncbi.nlm.nih.gov/pubmed/37641125
http://dx.doi.org/10.1186/s13073-023-01216-0

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