Accurate Virus Identification with Interpretable Raman Signatures by Machine Learning. (arXiv:2206.02788v1 [q-bio.QM])

Rapid identification of newly emerging or circulating viruses is an important
first step toward managing the public health response to potential outbreaks. A
portable virus capture device coupled with label-free Raman Spectroscopy holds
the promise of fast detection by rapidly obtaining the Raman signature of a
virus followed by a machine learning approach applied to recognize the virus
based on its Raman spectrum, which is used as a fingerprint. We present such a
machine learning approach for analyzing Raman spectra …

arxiv bio identification learning machine machine learning virus