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Development of machine learning techniques for accessible and inexpensive imaging of COVID-19 with ultrasound

  • Funded by Natural Sciences and Engineering Research Council of Canada (NSERC)
  • Total publications:0 publications

Grant number: unknown

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Key facts

  • Disease

    COVID-19

  • Start & end year

    N/A

  • Known Financial Commitments (USD)

    $38,000

  • Funder

    Natural Sciences and Engineering Research Council of Canada (NSERC)

  • Principal Investigator

    Hassan Rivaz

  • Research Location

    Canada

  • Lead Research Institution

    Concordia

  • Research Priority Alignment

    N/A

  • Research Category

    Clinical characterisation and management

  • Research Subcategory

    Supportive care, processes of care and management

  • 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

Biomedical engineering; Information, computer and communication technologies