Leaśbiosa An integrated platform, based on artificial intelligence (IA), for the analysis of proteomic data, radiological and clinical imaging aimed at identifying diagnostic and prognostic biomarkers in the infection from SARS-COV-2 (SCV2)

  • Funded by Ministry of Education, University and Research Italy
  • Total publications:1 publications

Grant number: FISR2020IP_01563

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Key facts

  • Disease

    COVID-19
  • start year

    -99
  • Known Financial Commitments (USD)

    $67,935.12
  • Funder

    Ministry of Education, University and Research Italy
  • Principal Investigator

    N/A

  • Research Location

    Italy
  • Lead Research Institution

    N/A
  • Research Priority Alignment

    N/A
  • Research Category

    Pathogen: natural history, transmission and diagnostics

  • Research Subcategory

    Pathogen morphology, shedding & natural history

  • 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

Publicationslinked via Europe PMC

Last Updated:an hour ago

View all publications at Europe PMC

Combining Deep Phenotyping of Serum Proteomics and Clinical Data via Machine Learning for COVID-19 Biomarker Discovery.