Opportunity Information: Apply for PAR 10 169
Apply for PAR 10 169
- The National Institutes of Health in the education health sector is offering a public funding opportunity titled "Academic Industrial Partnerships for Translation of in vivo Imaging Systems for Cancer Investigations (R01)" 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 93.395 Cancer Treatment Research 93.396 Cancer Biology Research.
- This funding opportunity was created on Apr 5, 2013 and posted on Apr 16, 2010.
- Applicants must submit their applications by Apr 5, 2013. (Agency may still review applications by suitable applicants for the remaining/unused allocated funding in 2026.)
- Eligible applicants include: Small businesses Others (see text field entitled Additional Information on Eligibility for clarification) Nonprofits that do not have a 501(c)(3) status with the IRS, other than institutions of higher education Public and State controlled institutions of higher education Private institutions of higher education For profit organizations other than small businesses Nonprofits having a 501(c)(3) status with the IRS, other than institutions of higher education.
- Other Eligible Applicants include the following Alaska Native and Native Hawaiian Serving Institutions Hispanic serving Institutions Historically Black Colleges and Universities (HBCUs) Non domestic (non U.S.) Entities (Foreign Organizations) Tribally Controlled Colleges and Universities (TCCUs) .
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Opportunity Summary:
This grant opportunity, titled Academic Industrial Partnerships for Translation of in vivo Imaging Systems for Cancer Investigations (R01) (PAR-10-169), is a National Cancer Institute (NCI) program under the National Institutes of Health (NIH) designed to push promising in vivo cancer imaging technologies from the development stage into real-world research and clinical settings. The core idea is to speed up translation by requiring true academic-industry collaboration, bringing together the strengths of universities (scientific discovery, clinical access, rigorous evaluation) and companies (engineering, manufacturing know-how, regulatory experience, product-focused development) to solve specific, well-defined cancer imaging problems.
The program focuses on in vivo imaging, image-guided technologies, and spectroscopic systems or methods, and it allows work spanning either animal (preclinical) or human (clinical) applications. The expectation is that the proposed technology is not just an interesting concept, but something that can be engineered, optimized, validated, and demonstrated as useful for cancer research, clinical trials, and/or clinical practice. Projects are meant to be mission-driven: applicants should choose a targeted cancer problem and propose a coherent development-and-translation strategy aimed at delivering a working solution within the project period.
A key requirement is that each application must be built around an interdisciplinary, multi-institutional partnership, structured as a strategic alliance rather than a loose collaboration. Every partnership must include at least one lead academic organization and at least one lead industrial organization, and the industrial partner can be either a small business or a larger company. The team is expected to integrate multiple areas of expertise (for example, imaging physics, device engineering, software, oncology, pathology, radiology, clinical trial operations, biostatistics, and regulatory planning) to move the imaging system or method toward practical deployment and broad utility.
The FOA explicitly supports studies that optimize and validate imaging performance, and it allows clinical trials when those trials are primarily aimed at demonstrating and validating how well the imaging system, device, agent, and/or method performs. In other words, the clinical work should be centered on technical and clinical performance evaluation (such as image quality, sensitivity/specificity, reproducibility, robustness across sites, workflow feasibility, and other validation endpoints) rather than being a large-scale efficacy trial of a therapeutic intervention. For both preclinical and clinical efforts, the announcement permits requesting funds for a limited number of additional prototype copies when that is necessary to optimize and validate the system across different platforms or research sites, including multi-site studies. At the same time, the announcement draws a bright line against commercial production; the intent is translation and validation, not scaling up manufacturing for sales.
Funding is provided through the NIH Research Project Grant (R01) mechanism, which generally supports substantial, multi-year research programs and is commonly used for projects requiring coordinated technical and biological/clinical work. The project horizon emphasized in the announcement is a five-year window, with partnerships encouraged to plan their work so that the targeted cancer imaging problem can be meaningfully addressed within that timeframe. Like many NIH opportunities, the number of awards depends on available funds and the quality and volume of applications received, rather than a guaranteed award count.
Eligibility is broad and includes a range of organization types: public and private institutions of higher education, nonprofits (including 501(c)(3) organizations and certain nonprofits without 501(c)(3) status), for-profit organizations (including companies other than small businesses), and small businesses. The opportunity also lists several institution types explicitly as eligible, including Historically Black Colleges and Universities (HBCUs), Hispanic-serving institutions, Tribally Controlled Colleges and Universities (TCCUs), Alaska Native and Native Hawaiian Serving Institutions, and even non-U.S. (foreign) organizations. There is no cost sharing or matching requirement stated for this FOA, which means applicants are not required to provide a defined level of non-federal funds as a condition of the award.
Administratively, this is a discretionary grant program managed by NIH/NCI, associated with cancer-related CFDA areas covering detection and diagnosis research, treatment research, and biology research (93.394, 93.395, 93.396). The posting date listed is April 16, 2010, and the opportunity is archived, with the included closing dates reflecting the historical submission window. The full announcement was hosted on the NIH grants page referenced in the additional information link, and NIH’s Office of Extramural Research (OER) webmaster contact is provided for access or linking issues.
Overall, this FOA is best understood as a translation-focused imaging technology program where success is defined by a well-organized academic-industry team delivering a validated imaging or image-guided solution to a specific cancer problem, demonstrated through rigorous optimization and testing (including, when appropriate, performance-focused clinical trials), and positioned for meaningful impact in preclinical research, clinical studies, and eventual clinical practice without directly funding commercial-scale production.
Frequently Asked Questions (FAQs)
What is the name of this grant opportunity?
The opportunity is titled Academic Industrial Partnerships for Translation of in vivo Imaging Systems for Cancer Investigations (R01) with funding opportunity identifier PAR-10-169.
Which agency runs this program?
This is a program of the National Cancer Institute (NCI) within the National Institutes of Health (NIH).
What is the main goal of the program?
The goal is to speed the translation of promising in vivo cancer imaging technologies from the development stage into real-world research and clinical settings. The FOA emphasizes moving beyond an interesting concept to a system or method that can be engineered, optimized, validated, and demonstrated as useful for cancer investigations and, when appropriate, clinical use.
What kinds of technologies does the FOA focus on?
The program focuses on in vivo imaging, image-guided technologies, and spectroscopic systems or methods for cancer investigations.
Are projects limited to preclinical work, or can they include human studies?
Projects may span either animal (preclinical) or human (clinical) applications. The FOA is framed around translation, meaning the work should be positioned to move toward practical deployment and broad utility.
What does "translation-focused" mean in this FOA?
Translation-focused means the project should be mission-driven around a specific, well-defined cancer imaging problem, with a coherent plan to develop, optimize, validate, and demonstrate an imaging system/method that is usable in cancer research, clinical trials, and/or clinical practice within the project period.
Is academic-industry collaboration required?
Yes. A core requirement is a true academic-industry partnership. The FOA expects applicants to combine academic strengths (scientific discovery, clinical access, rigorous evaluation) with industry strengths (engineering, manufacturing know-how, regulatory experience, product-focused development).
What partnership structure is expected?
Each application must be built around an interdisciplinary, multi-institutional partnership structured as a strategic alliance rather than a loose collaboration.
What types of organizations must be included in the partnership?
Every partnership must include at least one lead academic organization and at least one lead industrial organization. The industrial partner may be a small business or a larger company.
What kinds of expertise should the team include?
The FOA anticipates integrated expertise across multiple areas as needed to move the technology toward deployment. Examples mentioned include imaging physics, device engineering, software, oncology, pathology, radiology, clinical trial operations, biostatistics, and regulatory planning.
Does the FOA support optimization and validation studies?
Yes. The FOA explicitly supports studies to optimize and validate imaging performance as part of moving an imaging system or method toward real-world use.
Are clinical trials allowed under this opportunity?
Yes, clinical trials are allowed when they are primarily aimed at demonstrating and validating performance of the imaging system, device, agent, and/or method.
What is the intended purpose of any clinical trial activity in this FOA?
Clinical work should center on technical and clinical performance evaluation (for example, image quality, sensitivity/specificity, reproducibility, robustness across sites, workflow feasibility, and other validation endpoints), rather than serving as a large-scale efficacy trial of a therapeutic intervention.
Can applicants request funds for prototype units?
Yes. The FOA permits requesting funds for a limited number of additional prototype copies when needed to optimize and validate the system across different platforms or sites, including multi-site studies.
Does the FOA support commercial-scale manufacturing?
No. The FOA draws a clear line against commercial production. The intent is translation and validation, not scaling up manufacturing for sales.
What grant mechanism is used?
Funding is provided through the NIH Research Project Grant (R01) mechanism, which is commonly used for substantial, multi-year research programs requiring coordinated technical and biological/clinical work.
What project period does the FOA emphasize?
The FOA emphasizes a five-year window and encourages partnerships to plan so the targeted cancer imaging problem can be meaningfully addressed within that timeframe.
Is the number of awards guaranteed?
No. As described, the number of awards depends on available funds and the quality and volume of applications received, rather than a guaranteed award count.
Who is eligible to apply?
Eligibility is broad and includes: public and private institutions of higher education, nonprofits (including 501(c)(3) organizations and certain nonprofits without 501(c)(3) status), for-profit organizations (including companies other than small businesses), and small businesses.
Are minority-serving and special institution types eligible?
Yes. The FOA explicitly lists several eligible institution types, including Historically Black Colleges and Universities (HBCUs), Hispanic-serving institutions, Tribally Controlled Colleges and Universities (TCCUs), and Alaska Native and Native Hawaiian Serving Institutions.
Are non-U.S. (foreign) organizations eligible?
Yes. The FOA indicates that non-U.S. (foreign) organizations are eligible.
Is cost sharing or matching required?
No cost sharing or matching requirement is stated. Based on the information provided, applicants are not required to provide a defined level of non-federal funds as a condition of the award.
What type of grant program is this from an administrative standpoint?
This is a discretionary grant program managed by NIH/NCI.
Which CFDA areas are associated with this opportunity?
The FOA is associated with cancer-related CFDA areas covering detection and diagnosis research, treatment research, and biology research: 93.394, 93.395, and 93.396.
Is this opportunity current or archived?
The posting date listed is April 16, 2010, and the opportunity is described as archived, with closing dates reflecting a historical submission window.
Where was the full announcement hosted?
The full announcement was hosted on the NIH grants page referenced via the additional information link in the original posting.
Who is listed as a contact for access or linking issues?
The information provided mentions the NIH Office of Extramural Research (OER) webmaster contact for access or linking issues.
What does success look like under this FOA?
Success is defined by a well-organized academic-industry team delivering a validated imaging or image-guided solution to a specific cancer problem, demonstrated through rigorous optimization and testing (including performance-focused clinical trials when appropriate), and positioned for meaningful impact in preclinical research, clinical studies, and eventual clinical practice, without directly funding commercial-scale production.
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