Computational Approaches to Curation at Scale for Biomedical Research Assets (R01 Clinical Trial Not Allowed)

NLM wishes to accelerate the availability of and access to secure, complete data sets and computational models that can serve as the basis of transformative biomedical discoveries by improving the speed and scope of the curation processes.
Related Programs

Medical Library Assistance

Department of Health and Human Services



Who's Eligible


Relevant Nonprofit Program Categories





Obtain Full Opportunity Text:
http://grants.nih.gov/grants/guide/pa-files/PAR-18-796.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); Non-domestic (non-U.S.) Entities (Foreign Organizations); 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/pa-files/PAR-18-796.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:
2018-05-22

Application Due Date:


Archive Date:
2020-03-07


Co-founders William Mann and David Mravyan devised the Sensimat during a mandatory project for their MBA at the Richard Ivey School of Business in Canada. Sensimat is a device that helps manage and assess pressure among wheelchair users.






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