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

ConclusionThis proof-of-concept signature has potential to be adapted as a clinical point-of-care test ( ‘RespVerity’) to improve the diagnosis of viral ARIs.
Source: Genome Medicine - Category: Genetics & Stem Cells Source Type: research