New methods can advance the development of rapid diagnostics

Two companion studies report new artificial intelligence approaches for identification of molecular "fingerprints" for specific infections. The methods, used here to derive a fingerprint for COVID-19, can advance the development of rapid diagnostics for many infectious diseases.

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Stevenh Kleinstein , Elena Zaslavsky , Emily Henderson , Yale School Of Medicine , Program In Computational Biology , Icahn School Of Medicine At Mount Sinai , Bioinformatics Yale University , Associate Professor , Icahn School , Mount Sinai , Anthony Brady Professor , Yale School , Computational Biology , Bioinformatics Yale , Discovery Industry Focus , Blood , Athogen , Artificial Intelligence , Bioinformatics , Fell , Covid 19 , Iagnostics , Genes , Infectious Diseases , Influenza , Medicine , Eurology , Pathology , Research , Cars , Ars Cov 2 ,