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forecasted

Intramural - Extramural Collaboration for Advanced 3-D Tissue Models for Drug Screening (Clinical Trial Not Allowed)

National Institutes of Health · RFA-TR-25-016

Award range

See source for award amount

Deadline

Not specified

Eligible applicants

Native American tribal governments (Federally recognized), Public housing authorities/Indian housing authorities, State governments, County governments, Small businesses, Private institutions of higher education, Independent school districts, City or township governments, Nonprofits that do not have a 501(c)(3) status with the IRS, other than institutions of higher education, Others (see text field entitled "Additional Information on Eligibility" for clarification), Public and State controlled institutions of higher education, Special district governments, Nonprofits having a 501(c)(3) status with the IRS, other than institutions of higher education, For profit organizations other than small businesses, Native American tribal organizations (other than Federally recognized tribal governments)

Geographic eligibility and all attachment-specific conditions require review of the original announcement.

Eligibility details

Other Eligible ApplicantsIndian/Native American Tribal Governments (Other than Federally Recognized);Eligible Agencies of the Federal Government;U.S. Territory or Possession;Faith-based or Community-based Organizations;Regional Organizations;Non-Eligible ApplicantsNon-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.

Matching funds & resources

Source matching-funds field: Not Required.

Matching funds and leveraged resources are different requirements. Read the description and reviewed rules below before determining resource commitments.

About this opportunity

NIH intends to publish a Notice of Funding Opportunity (NOFO) to solicit applications that will develop, validate and demonstrate the utility of advanced 3-D tissue models for testing the efficacy of various therapeutic modalities, including small molecules and biologics and accelerate the discovery and development of new therapeutics across different diseases. The initiative will develop advanced 3-D drug screening models adaptable to high throughput assays. These non-animal models are expected to mimic structural, biochemical and mechanical properties of tissue that are representative of a drug’s behavior in a body, resulting in improved predictive accuracy. This is an expansion upon the work conducted under previous NOFOs, RFA-TR-17-007, RFA-TR-19-020 and RFA-TR-21-015, that have focused on development of 3-D skin and other tissue models for drug screening. The applicants are required to utilize the 3-D modeling/drug screening expertise and infrastructure available at the NCATS 3-D Bioprinting laboratory. 3-D tissue models in a well-based drug screening platform should be as complex as necessary to achieve physiological/pharmacological relevance, and as simple as possible to make the models robust, reliable and amenable to drug screening. Grant authorities that allow NCATS to forecast this opportunity are as follows: 42 U.S. Code § 287a - Cures Acceleration Network.

Funding geography: Not specified — review source. A funder’s address does not establish eligibility.

Review original source ↗

Funding instrument: Cooperative Agreement. Issuing jurisdiction: Federal. This is not a geographic eligibility determination.

Source fields and evidence

id: 360666
Source ↗ · id

opportunityNumber: RFA-TR-25-016
Source ↗ · opportunityNumber

opportunityTitle: Intramural - Extramural Collaboration for Advanced 3-D Tissue Models for Drug Screening (Clinical Trial Not Allowed)
Source ↗ · opportunityTitle

revision: 0
Source ↗ · revision

agencyDetails: {"code":"NIH","seed":"HHS-NIH11","agencyName":"National Institutes of Health","agencyCode":"HHS-NIH11","topAgencyCode":"HHS"}
Source ↗ · agencyDetails

owningAgencyCode: HHS-NIH11
Source ↗ · owningAgencyCode

cfdas: [{"id":431223,"opportunityId":360666,"cfdaNumber":"93.350","programTitle":"National Center for Advancing Translational Sciences"}]
Source ↗ · cfdas

forecastDesc: <p>NIH intends to publish a Notice of Funding Opportunity (NOFO) to solicit applications that will develop, validate and demonstrate the utility of advanced 3-D tissue models for testing the efficacy of various therapeutic modalities, including small molecules and biologics and accelerate the discovery and development of new therapeutics across different diseases.</p><p>The initiative will develop advanced 3-D drug screening models adaptable to high throughput assays. These non-animal models are expected to mimic structural, biochemical and mechanical properties of tissue that are representative of a drug’s behavior in a body, resulting in improved predictive accuracy. This is an expansion upon the work conducted under previous NOFOs,&nbsp;RFA-TR-17-007,&nbsp;RFA-TR-19-020 and&nbsp;RFA-TR-21-015,&nbsp;that have focused on development of 3-D skin and other tissue models for drug screening. The applicants are required to utilize the 3-D modeling/drug screening expertise and infrastructure available at the&nbsp;NCATS 3-D Bioprinting laboratory. 3-D tissue models in a well-based drug screening platform should be as complex as necessary to achieve physiological/pharmacological relevance, and as simple as possible to make the models robust, reliable and amenable to drug screening. Grant authorities that allow NCATS to forecast this opportunity are as follows: 42 U.S. Code § 287a - Cures Acceleration Network.</p>
Source ↗ · forecastDesc

applicantTypes: [{"id":"07","description":"Native American tribal governments (Federally recognized)"},{"id":"08","description":"Public housing authorities/Indian housing authorities"},{"id":"00","description":"State governments"},{"id":"01","description":"County governments"},{"id":"23","description":"Small businesses"},{"id":"20","description":"Private institutions of higher education"},{"id":"05","description":"Independent school districts"},{"id":"02","description":"City or township governments"},{"id":"13","description":"Nonprofits that do not have a 501(c)(3) status with the IRS, other than institutions of higher education"},{"id":"25","description":"Others (see text field entitled \"Additional Information on Eligibility\" for clarification)"},{"id":"06","description":"Public and State controlled institutions of higher education"},{"id":"04","description":"Special district governments"},{"id":"12","description":"Nonprofits having a 501(c)(3) status with the IRS, other than institutions of higher education"},{"id":"22","description":"For profit organizations other than small businesses"},{"id":"11","description":"Native American tribal organizations (other than Federally recognized tribal governments)"}]
Source ↗ · applicantTypes

applicantEligibilityDesc: Other Eligible ApplicantsIndian/Native American Tribal Governments (Other than Federally Recognized);Eligible Agencies of the Federal Government;U.S. Territory or Possession;Faith-based or Community-based Organizations;Regional Organizations;Non-Eligible ApplicantsNon-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.
Source ↗ · applicantEligibilityDesc

fundingInstruments: [{"id":"CA","description":"Cooperative Agreement"}]
Source ↗ · fundingInstruments

fundingActivityCategories: [{"id":"HL","description":"Health"}]
Source ↗ · fundingActivityCategories

costSharing: false
Source ↗ · costSharing

lastUpdatedDate: Sep 29, 2025 07:36:26 AM EDT
Source ↗ · lastUpdatedDate

status: forecasted
Source ↗ · oppHits[id=360666].oppStatus

Source retrieved 10/15/2026 · Revision 0. Always confirm current requirements and dates with the funder. Structured source fields are checked; this is not a determination that every applicant qualifies.

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