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Emergency Awards: Exosome-based Non-traditional Technologies Towards Multi-Parametric and Integrated Approaches for SARS-CoV-2 (U18 Clinical Trial Not Allowed)
In response to the declared public health emergency issued by the Secretary, Department of Health and Human Services (DHHS) for the 2019 Novel Coronavirus (COVID-19), the National Institutes of Health (NIH) has launched the Rapid Acceleration of Diagnostics (RADx) project.
This emergency funding
opportunity announcement (FOA) from NIH provides an expedited funding mechanism as part of the Rapid Acceleration of Diagnostics-Radical (RADx-rad) initiative for the development of novel, non-traditional approaches to identify the current SARS-CoV-2 virus or other markers of the COVID-19 disease that can be used in future outbreaks of COVID-19 and that could be applicable to other, as yet unknown, viruses.
Specifically, this FOA seeks to use developed technologies for single vesicle or exosome isolation and analysis and reposition these technologies for the detection of SARS-CoV- 2. The funding for this initiative is provided from the Paycheck Protection Program and Health Care Enhancement Act, 202 0. NIH requires that all projects funded under this FOA will actively coordinate, collaborate, and share data with the RADx-rad Data Coordinating Center, as allowed, and with considerations under tribal IRB processes, as appropriate.
Researchers applying to this funding opportunity are strongly encouraged to review the companion Data Coordinating Center (DCC) funding opportunity announcement.
This emergency funding
opportunity announcement (FOA) from NIH provides an expedited funding mechanism as part of the Rapid Acceleration of Diagnostics-Radical (RADx-rad) initiative for the development of novel, non-traditional approaches to identify the current SARS-CoV-2 virus or other markers of the COVID-19 disease that can be used in future outbreaks of COVID-19 and that could be applicable to other, as yet unknown, viruses.
Specifically, this FOA seeks to use developed technologies for single vesicle or exosome isolation and analysis and reposition these technologies for the detection of SARS-CoV- 2. The funding for this initiative is provided from the Paycheck Protection Program and Health Care Enhancement Act, 202 0. NIH requires that all projects funded under this FOA will actively coordinate, collaborate, and share data with the RADx-rad Data Coordinating Center, as allowed, and with considerations under tribal IRB processes, as appropriate.
Researchers applying to this funding opportunity are strongly encouraged to review the companion Data Coordinating Center (DCC) funding opportunity announcement.
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Agency: Department of Health and Human Services
Office: National Institutes of Health
Estimated Funding: $10,000,000
Office: National Institutes of Health
Estimated Funding: $10,000,000
Who's Eligible
Relevant Nonprofit Program Categories
Obtain Full Opportunity Text:
http://grants.nih.gov/grants/guide/rfa-files/RFA-OD-20-018.html
Additional Information of Eligibility:
Other Eligible Applicants include the following: Alaska Native and Native Hawaiian Serving Institutions; Asian American Native American Pacific Islander Serving Institutions (AANAPISISs); Eligible Agencies of the Federal Government; Faith-based or Community-based Organizations; Hispanic-serving Institutions; Historically Black Colleges and Universities (HBCUs); Indian/Native American Tribal Governments (Other than Federally Recognized); Regional Organizations; Tribally Controlled Colleges and Universities (TCCUs) ; U. S. Territory or Possession; Non-domestic (non-U.S.) Entities (Foreign Institutions) are not eligible to apply.
Non-domestic (non-U.S.) components of U. S. Organizations are not eligible to apply.
Foreign components, as defined in the NIH Grants Policy Statement, are not allowed.
Full Opportunity Web Address:
http://grants.nih.gov/grants/guide/rfa-files/RFA-OD-20-018.html
Contact:
Agency Email Description:
If you have any problems linking to this funding announcement, please contact the NIH OER Webmaster
Agency Email:
Date Posted:
2020-08-06
Application Due Date:
Archive Date:
2020-10-24
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