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Developing a new diagnostic tool for COVID-19

Grant number: unknown

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Key facts

  • Disease

    COVID-19

  • start year

    -99

  • Known Financial Commitments (USD)

    $7,768.2

  • Funder

    IVADO

  • Principal Investigator

    Dr. Frédéric and Dominique Leblond and Trudel

  • Research Location

    Canada

  • Lead Research Institution

    N/A

  • Research Priority Alignment

    N/A

  • Research Category

    Pathogen: natural history, transmission and diagnostics

  • Research Subcategory

    Diagnostics

  • Special Interest Tags

    N/A

  • Study Type

    Unspecified

  • Clinical Trial Details

    N/A

  • Broad Policy Alignment

    Pending

  • Age Group

    Not Applicable

  • Vulnerable Population

    Not applicable

  • Occupations of Interest

    Not applicable

Abstract

Methods of diagnosing COVID-19 require chemical reagents whose supplies are limited. One consequence is the potentially extensive spread of the virus by asymptomatic individuals. In order to more easily assess whether or not testing is needed, this project proposes to use Raman spectroscopy and artificial-intelligence algorithms to estimate an individual's total viral load and, if necessary, then determine whether the coronavirus is present. Ultimately, this could make it possible to significantly reduce the number of tests to be carried out, a benefit for remote regions or regions with limited infrastructure.