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Cross-Border Threat Screening and Supply Chain Defense

Cross-Border Threat Screening and Supply Chain Defense

A Department of Homeland Security Center of Excellence

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Novel method for swine flu detection

Our research team, led by Dr. Dmitry Kurouski and Dr. Matt Cochran, just published an article, “Indirect Detection of Swine Influenza Activity in Porcine Blood Using Raman Spectroscopy and Machine Learning” in the Journal of Biophotonics.

The current gold standard methods such as RT-PCR and culturing viruses have lower sensitivities and sometimes lower processing speeds for type H1N1 and H1N2 variants.

Raman spectroscopy provides a novel method that has the potential to solve many other challenges in biomedical diagnostics!

Kudos to the team! Please check out the scientific article here: https://onlinelibrary.wiley.com/doi/10.1002/jbio.202400575

Categories: NewsTags: CBTS research, DHS S&T, machine learning, Raman spectroscopy, swine flu

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Cross-Border Threat Screening and Supply Chain Defense

600 John Kimbrough Blvd.
518D Agriculture and Life Sciences Bldg.
College Station, TX 77843-2142

(979) 314- 2032

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