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Oxford scientists working out of the school’s Department of Physics have developed a new type of COVID-19 test that can detect SARS-CoV-2 with a high degree of accuracy, directly in samples taken from patients, using a machine learning-based approach that could help sidestep test supply limitations, and that also offers advantages when it comes to detecting actual virus particles, instead of antibodies or other signs of the presence of the virus which don’t necessarily correlate to an active, transmissible case.
The test created by the Oxford researchers also offer significant advantages in terms of speed, providing results in under five minutes, without any sample preparation required. That means it could be among the technologies that unlock mass testing – a crucial need not only for getting a handle on the current COVID-19 pandemic, but also on helping us deal with potential future global viral outbreaks, too. Oxford’s method is actually well-designed for that, too, since it can potentially be configured relatively easily to detect a number of viral threats.
The technology that makes this possible works by labelling any virus particles found in a sample collected by a patient using short, fluorescent DNA strands that act as markers. …
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