Opportunity Information: Apply for PAR 15 266
Apply for PAR 15 266
- The National Institutes of Health in the education health sector is offering a public funding opportunity titled "Oncology Co Clinical Imaging Research Resources to Encourage Consensus on Quantitative Imaging Methods and Precision Medicine (U24)" and is now available to receive applicants.
- Interested and eligible applicants and submit their applications by referencing the CFDA number(s): 93.394 Cancer Detection and Diagnosis Research.
- This funding opportunity was created on May 21, 2015 and posted on May 21, 2015.
- Applicants must submit their applications by Jun 14, 2018. (Agency may still review applications by suitable applicants for the remaining/unused allocated funding in 2026.)
- Each selected applicant is eligible to receive up to $500,000.00 in funding.
- Eligible applicants include: State governments Public and State controlled institutions of higher education Native American tribal organizations (other than Federally recognized tribal governments) Special district governments Nonprofits having a 501(c)(3) status with the IRS, other than institutions of higher education Small businesses County governments Native American tribal governments (Federally recognized) Nonprofits that do not have a 501(c)(3) status with the IRS, other than institutions of higher education For profit organizations other than small businesses Private institutions of higher education Public housing authorities/Indian housing authorities Independent school districts Others (see text field entitled Additional Information on Eligibility for clarification) City or township governments.
- 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 allowed.
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Opportunity Summary:
This NIH funding opportunity (PAR-15-266) is a discretionary grant announcement for a Cooperative Agreement (U24) titled "Oncology Co-Clinical Imaging Research Resources to Encourage Consensus on Quantitative Imaging Methods and Precision Medicine." It was issued under the Cancer Detection and Diagnosis Research program area (CFDA 93.394). The central goal is to support the development of shared research resources that help the cancer research community reach practical consensus on how to optimize quantitative imaging (QI) methods so that imaging results line up more reliably across sites and studies, especially in the context of co-clinical trials. In plain terms, the FOA is aimed at reducing the variability that often happens when different labs, scanners, protocols, analysis pipelines, or institutions try to measure the same imaging-based biomarker or quantitative endpoint, and then using those harmonized approaches to better connect imaging readouts to precision medicine questions.
A key emphasis of the announcement is the co-clinical trial model, where related studies are run in parallel in humans and in carefully matched animal models (often mouse models) to speed up discovery and improve translation. Imaging plays an important role in these studies because it can provide noninvasive, repeatable measurements of tumor burden, response, and biology over time. However, quantitative imaging only becomes broadly useful when measurements are reproducible and comparable. This FOA therefore focuses on building resources that encourage agreement on best practices for QI optimization, standardization, and validation, with the practical outcome being improved correlation of results across co-clinical settings. The intent is not simply to fund another individual research project, but to create enabling infrastructure and community-facing tools, data, and guidance that others can use.
Because the award mechanism is a U24 cooperative agreement, NIH expects substantial programmatic involvement from the agency compared with a standard research grant. Applicants should typically anticipate an active partnership structure where NIH staff may help shape milestones, facilitate coordination among participating groups, and ensure the resulting resources are broadly useful and aligned with program goals. In exchange, the supported effort is positioned to function as a resource hub for the field, rather than as a single-investigator study. The award ceiling listed for this FOA is $500,000 (as provided in the source data), and there is no cost sharing or matching requirement.
The eligibility profile is broad and includes many domestic organization types: state, county, city/township, and special district governments; public and private institutions of higher education; nonprofit organizations (with and without 501(c)(3) status); small businesses and other for-profit organizations (including those other than small businesses); public housing authorities/Indian housing authorities; independent school districts; and additional categories such as faith-based or community-based organizations, regional organizations, U.S. territories or possessions, and a range of minority-serving institutions (including HBCUs, HSIs, TCCUs, Alaska Native and Native Hawaiian Serving Institutions, and AANAPISIs). Foreign institutions are not eligible to apply, and non-U.S. components of U.S. organizations are also not eligible; however, foreign components as defined by the NIH Grants Policy Statement are allowed, which generally means that discrete foreign elements can be included when justified, even though the applicant organization must be U.S.-based.
Administratively, the FOA was posted on May 21, 2015, with an original and current closing date of June 14, 2018, and it was archived on July 15, 2018. The sponsoring agency is the National Institutes of Health. The full announcement was made available through the NIH grants guide at the link provided in the source. For access problems, the FOA lists the NIH Office of Extramural Research (OER) Webmaster contact (FBOWebmaster@OD.NIH.GOV) for technical assistance.
Overall, the opportunity is best understood as NIH support for community-oriented imaging methodology resources in oncology, aimed at making quantitative imaging more consistent, interpretable, and actionable across co-clinical trials and precision medicine research. The expected outputs would typically be things like shared datasets, standardized acquisition and analysis procedures, calibration or quality assurance approaches, reference materials, consensus recommendations, and other practical resources that help different teams produce comparable quantitative imaging measures and strengthen the link between imaging metrics and biological or clinical outcomes.
Frequently Asked Questions (FAQs)
What is the funding opportunity PAR-15-266?
PAR-15-266 is an NIH discretionary funding opportunity announcement for a Cooperative Agreement (U24) titled "Oncology Co-Clinical Imaging Research Resources to Encourage Consensus on Quantitative Imaging Methods and Precision Medicine." It sits within the Cancer Detection and Diagnosis Research program area (CFDA 93.394).
What is the main goal of this FOA?
The central goal is to support the development of shared, community-facing research resources that help the cancer research community reach practical consensus on how to optimize quantitative imaging (QI) methods. The intent is to reduce variability across sites and studies so imaging results align more reliably, especially in co-clinical trial settings and precision medicine research.
What problem is NIH trying to solve with this announcement?
This FOA targets the variability that occurs when different labs, scanners, protocols, analysis pipelines, or institutions attempt to measure the same imaging-based biomarker or quantitative endpoint. The aim is to improve reproducibility and comparability so quantitative imaging measures can be interpreted consistently across studies.
What does "quantitative imaging (QI)" mean in the context of this FOA?
In this context, quantitative imaging refers to imaging approaches that produce measurable, numerical outputs (quantitative endpoints or biomarkers) that can be compared over time, across subjects, and across sites. The FOA emphasizes making these measurements more reproducible and comparable.
What are "co-clinical trials" as described in the opportunity?
Co-clinical trials are a model in which related studies are run in parallel in humans and in carefully matched animal models (often mouse models). This parallel approach is used to speed up discovery and improve translation of findings between preclinical and clinical settings.
Why is imaging important in co-clinical trials?
Imaging can provide noninvasive, repeatable measurements of tumor burden, response, and biology over time. These repeatable measurements are particularly valuable when aligning results between human studies and matched animal model studies.
What kinds of activities does the FOA emphasize?
The FOA emphasizes building resources that encourage agreement on best practices for quantitative imaging optimization, standardization, and validation. The practical outcome NIH is aiming for is better correlation and comparability of imaging results across co-clinical settings and institutions.
Is this FOA intended to fund a single research project?
No. The intent is not simply to fund another individual research project. It is designed to create enabling infrastructure and broadly useful tools, data, and guidance that the wider research community can use.
What is the award mechanism and what does it imply?
The award mechanism is a U24 Cooperative Agreement. Compared with standard research grants, this mechanism implies substantial programmatic involvement from NIH, with an active partnership structure where NIH staff may help shape milestones, facilitate coordination, and ensure that resulting resources are broadly useful and aligned with program goals.
Who is the sponsoring agency?
The sponsoring agency is the National Institutes of Health (NIH).
What is the program area and CFDA number?
This opportunity is under the Cancer Detection and Diagnosis Research program area, with CFDA 93.394.
What is the award ceiling for this FOA?
The award ceiling listed for this FOA is $500,000 (as provided in the source information).
Is cost sharing or matching required?
No. The opportunity states there is no cost sharing or matching requirement.
What types of organizations are eligible to apply?
Eligibility is broad and includes many domestic organization types, including state, county, city/township, and special district governments; public and private institutions of higher education; nonprofit organizations (with and without 501(c)(3) status); small businesses; other for-profit organizations; public housing authorities/Indian housing authorities; independent school districts; faith-based or community-based organizations; regional organizations; U.S. territories or possessions; and a range of minority-serving institutions (including HBCUs, HSIs, TCCUs, Alaska Native and Native Hawaiian Serving Institutions, and AANAPISIs).
Are foreign institutions eligible to apply?
No. Foreign institutions are not eligible to apply.
Are non-U.S. components of U.S. organizations eligible?
No. Non-U.S. components of U.S. organizations are also not eligible under this opportunity.
Are foreign components allowed in any form?
Yes. Foreign components (as defined by the NIH Grants Policy Statement) are allowed when justified. This generally means discrete foreign elements can be included even though the applicant organization must be U.S.-based.
What types of outputs are expected from projects funded under this FOA?
Expected outputs are community-oriented resources such as shared datasets, standardized acquisition and analysis procedures, calibration or quality assurance approaches, reference materials, consensus recommendations, and other practical resources that help different teams produce comparable quantitative imaging measures and strengthen the link between imaging metrics and biological or clinical outcomes.
How does this FOA relate to precision medicine?
The FOA aims to harmonize quantitative imaging approaches so imaging readouts can be more reliably connected to precision medicine questions. By reducing measurement variability and improving comparability, imaging metrics can become more interpretable and actionable in precision medicine research contexts.
When was the FOA posted and when did it close?
The FOA was posted on May 21, 2015. The original and current closing date listed is June 14, 2018.
Is this funding opportunity still active?
No. The FOA was archived on July 15, 2018.
Where was the full announcement made available?
The full announcement was made available through the NIH grants guide at the link provided in the original source information.
Who can be contacted for technical issues accessing the FOA?
For access problems, the FOA lists the NIH Office of Extramural Research (OER) Webmaster for technical assistance at FBOWebmaster@OD.NIH.GOV.
What does it mean that the effort should function as a "resource hub"?
It means the supported work is expected to produce resources, tools, data, and guidance that can be used by the broader cancer imaging and co-clinical research community, rather than being limited to a single lab's internal workflow or a one-off study.
What does "consensus on best practices" refer to in this FOA?
It refers to helping the community align on practical, usable approaches for optimizing, standardizing, and validating quantitative imaging methods so that imaging-based measurements are more reproducible and comparable across different sites and studies.
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