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)

US Dept. of Health & Human Services: National Institutes of Health (NIH)

Suggest an update

Deadline: Sep 30, 2020 (Full proposal)

Grant amount: Up to US $4,000,000

Fields of work: Infectious & Parasitic Diseases Respiratory Diseases & Systems

Applicant type: Organizations

Funding uses: Biomedical

Location of project: Anywhere in the world

Location of residency: Anywhere in the world

View website    Save


NOTE: Applications are due by 5 p.m. submitter's local time. 

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.

We've imported the main document for this grant to give you an overview. You can learn more about this opportunity by visiting the funder's website.

This page was last reviewed August 25, 2020 and last updated August 25, 2020