Emergency Awards: RADx-rad Predicting Viral-Associated Inflammatory Disease Severity in Children with Laboratory Diagnostics and Artificial Intelligence (PreVAIL kIds) (R61/R33 Clinical Trial Optional)

Archived

National Institutes of Health

Description

This FOA seeks to support innovative research to develop novel, new or unique and non-traditional approaches (e.g. diagnostic and prognostic biomarkers and/or biosignatures) to identify and characterize the spectrum of SARS CoV-2 associated illness, including the multisystem inflammatory syndrome in children (MIS-C) and, through a prognostic algorithm, predict the longitudinal risk of disease severity after a child is exposed to and may be infected with SARS-CoV-2 to properly tailor his or her management and optimize health outcomes.

Who can apply

  • State governments
  • County governments
  • City or township governments
  • Special district governments
  • Independent school districts
  • Public and State controlled institutions of higher education
  • Native American tribal governments (Federally recognized)
  • Public housing authorities / Indian housing authorities
  • Native American tribal organizations (other than Federally recognized)
  • Nonprofits with 501(c)(3) status (other than higher education)
  • Nonprofits without 501(c)(3) status (other than higher education)
  • Private institutions of higher education
  • For-profit organizations other than small businesses
  • Small businesses
  • Others

Contact

NIH OER Webmaster<br/>FBOWebmaster@OD.NIH.GOV
FBOWebmaster@OD.NIH.GOV

Key dates & funding
  • PostedAug 6, 2020
  • ClosesSep 30, 2020
  • Award ceiling$500,000
  • Program funding$5,000,000
  • CFDA93.233, 93.279, 93.307, 93.310, 93.837, 93.838, 93.839, 93.840, 93.846, 93.855, 93.865, 93.989

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