project . 2019 - 2021 . On going

AiforCancerDX

Deep learning AI in cancer diagnostics
Open Access mandate for Publications European Commission
  • Funder: European CommissionProject code: 880718 Call for proposal: H2020-SMEInst-2018-2020-2
  • Funded under: H2020 | SME-2 Overall Budget: 2,930,000 EURFunder Contribution: 2,051,000 EUR
  • Status: On going
  • Start Date
    01 Nov 2019
    End Date
    31 Oct 2021
  • Detailed project information (CORDIS)
  • Open Access mandate
    Research Data: No
Description
Aging populations and increasing cancer rates are increasing the number of samples in healthcare. Despite the growing trend of digitalisation, pathologists are still reviewing the samples manually, which is a subjective, time-consuming, expensive manual process that exposes patients to the risk of misdiagnosis. Thus, there is a clear need for an affordable tool that supports and streamlines the workflows of pathologist, complementing humans with automated and objective analysis. Aiforia® Cloud platform augments the efficiency and consistency of a pathologist’s clinical workflow. It removes the slow and inconsistent manual work by automatically performing a range...
Description
Aging populations and increasing cancer rates are increasing the number of samples in healthcare. Despite the growing trend of digitalisation, pathologists are still reviewing the samples manually, which is a subjective, time-consuming, expensive manual process that exposes patients to the risk of misdiagnosis. Thus, there is a clear need for an affordable tool that supports and streamlines the workflows of pathologist, complementing humans with automated and objective analysis. Aiforia® Cloud platform augments the efficiency and consistency of a pathologist’s clinical workflow. It removes the slow and inconsistent manual work by automatically performing a range...
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