A machine learning classifier using 33 host immune response mRNAs accurately distinguishes viral and non-viral acute respiratory illnesses in nasal swab samples
Abstract 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. Multip...
| Autori principali: | , , , , |
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| Natura: | Articolo |
| Lingua: | English |
| Pubblicazione: |
BMC
2023-08-01
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| Serie: | Genome Medicine |
| Accesso online: | https://doi.org/10.1186/s13073-023-01216-0 |