Opportunity Information: Apply for PAR 17 125
Perception and Cognition Research to Inform Cancer Image Interpretation (R01) (Funding Opportunity Number: PAR-17-125) is a National Institutes of Health (NIH) discretionary grant opportunity designed to support research that digs into how people actually perceive and think when interpreting cancer-related medical images. The core aim is to understand the perceptual and cognitive processes that drive performance for image observers in radiology and pathology, and then use that knowledge to improve the accuracy of cancer detection and diagnosis. In practical terms, the FOA is looking for studies that explain why errors happen, what factors help experts detect subtle findings, how attention and decision-making work under real clinical conditions, and what can be changed in training, workflow, or interpretation approaches to reduce missed cancers and incorrect diagnoses.
The opportunity uses the R01 funding mechanism, meaning it is intended for substantial, hypothesis-driven projects with a defined research plan and clear outcomes. The activity category is listed under Education and Health, reflecting that the work sits at the intersection of biomedical imaging, observer performance, and the human factors side of clinical decision-making. Projects supported by this FOA would generally be expected to generate insights that can translate into better interpretive performance, such as improved understanding of visual search strategies, the impact of fatigue and workload, sources of bias in diagnostic reasoning, or methods to improve learning and feedback for clinicians who read images.
Eligibility is broad and includes a wide mix of organizations that can contribute to this kind of research. In addition to the usual applicants such as public and private institutions of higher education, nonprofits, and small businesses, the FOA explicitly allows a wide set of government and community-based entities. Eligible applicants include state, county, and city governments; special district governments; independent school districts; Native American tribal governments (federally recognized); tribal organizations that are not federally recognized; public housing authorities/Indian housing authorities; for-profit organizations (other than small businesses) as well as small businesses; and various nonprofit categories regardless of 501(c)(3) status. The announcement also highlights additional eligible applicants such as Alaska Native and Native Hawaiian Serving Institutions; Asian American, Native American, and Pacific Islander Serving Institutions (AANAPISIs); Hispanic-serving Institutions; Historically Black Colleges and Universities (HBCUs); Tribally Controlled Colleges and Universities (TCCUs); eligible federal agencies; faith-based or community-based organizations; regional organizations; U.S. territories or possessions; and even non-domestic (non-U.S.) entities (foreign organizations). This wide eligibility reflects the reality that observer-performance research can be multidisciplinary and can benefit from partnerships among academic labs, health systems, community organizations, and international groups with strong expertise in perception, cognition, and medical imaging.
The FOA is associated with CFDA numbers 93.286 and 93.394, and it was created on 2017-01-18, with an original closing date listed as 2018-01-23. While the record provided does not specify an award ceiling or expected number of awards, the intent is clear: NIH is seeking rigorous research that explains how clinicians interpret cancer images and identifies evidence-based ways to improve that interpretation. Overall, the opportunity supports work that connects fundamental human perception and cognition to real-world diagnostic performance in radiology and pathology, with the larger goal of improving cancer detection and diagnostic accuracy.Apply for PAR 17 125
- The National Institutes of Health in the education, health sector is offering a public funding opportunity titled "Perception and Cognition Research to Inform Cancer Image Interpretation (R01)" and is now available to receive applicants.
- Interested and eligible applicants and submit their applications by referencing the CFDA number(s): 93.286, 93.394.
- This funding opportunity was created on 2017-01-18.
- Applicants must submit their applications by 2018-01-23. (Agency may still review applications by suitable applicants for the remaining/unused allocated funding in 2026.)
- Eligible applicants include: State governments, County governments, City or township governments, Special district governments, Independent school districts, Public and State controlled institutions of higher education, Native American tribal governments (Federally recognized), Public housing authorities/Indian housing authorities, Native American tribal organizations (other than Federally recognized tribal governments), Nonprofits having a 501 (c) (3) status with the IRS, other than institutions of higher education, Nonprofits that do not have a 501 (c) (3) status with the IRS, other than institutions of higher education, Private institutions of higher education, For-profit organizations other than small businesses, Small businesses, Others.
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Frequently Asked Questions (FAQs)
What is the title of this funding opportunity?
The opportunity is titled "Perception and Cognition Research to Inform Cancer Image Interpretation (R01)."
What is the Funding Opportunity Number (FON)?
The Funding Opportunity Number is PAR-17-125.
Who is offering this grant opportunity?
This is a National Institutes of Health (NIH) discretionary grant opportunity.
What is the main purpose of this FOA?
The core aim is to support research that explains how people perceive and think when interpreting cancer-related medical images, and to use those insights to improve the accuracy of cancer detection and diagnosis.
What kinds of image interpretation settings does this FOA focus on?
The FOA focuses on image observers working in radiology and pathology.
What types of research questions does the FOA encourage?
It encourages studies that explain why interpretation errors happen, what factors help experts detect subtle findings, how attention and decision-making work under real clinical conditions, and what changes in training, workflow, or interpretation approaches could reduce missed cancers and incorrect diagnoses.
What does "perception and cognition" mean in the context of this opportunity?
In this FOA, perception and cognition refer to the perceptual and cognitive processes that drive observer performance when clinicians interpret cancer-related images, including visual search strategies, attention, decision-making, learning, and diagnostic reasoning.
What is the funding mechanism for this opportunity?
The opportunity uses the NIH R01 funding mechanism.
What does the R01 mechanism imply about the type of project NIH expects?
It indicates support for substantial, hypothesis-driven projects with a defined research plan and clear outcomes.
What is the listed activity category for this FOA?
The activity category is listed under Education and Health.
What kinds of outcomes or impacts are projects expected to generate?
Supported projects would generally be expected to generate insights that can translate into better interpretive performance, such as improved understanding of visual search strategies, the impact of fatigue and workload, sources of bias in diagnostic reasoning, or methods to improve learning and feedback for clinicians who read images.
Does the FOA focus on improving cancer detection and diagnosis?
Yes. A central goal is improving cancer detection and diagnostic accuracy by understanding and improving how clinicians interpret cancer-related images.
Is this opportunity limited to academic institutions?
No. Eligibility is broad and includes many types of organizations beyond colleges and universities.
What types of higher education institutions are eligible to apply?
Eligible applicants include public and private institutions of higher education. The announcement also highlights Alaska Native and Native Hawaiian Serving Institutions; AANAPISIs; Hispanic-serving Institutions; Historically Black Colleges and Universities (HBCUs); and Tribally Controlled Colleges and Universities (TCCUs).
Are nonprofit organizations eligible?
Yes. Various nonprofit categories are eligible, regardless of 501(c)(3) status, as described in the opportunity information.
Are for-profit organizations eligible?
Yes. Eligible applicants include small businesses and for-profit organizations other than small businesses.
Are government entities eligible?
Yes. Eligible applicants include state governments, county governments, city or township governments, special district governments, and independent school districts.
Are tribal governments or tribal organizations eligible?
Yes. Eligible applicants include Native American tribal governments (federally recognized) and tribal organizations that are not federally recognized.
Are public housing authorities eligible?
Yes. The FOA lists public housing authorities/Indian housing authorities as eligible applicants.
Are faith-based or community-based organizations eligible?
Yes. The announcement highlights faith-based or community-based organizations as eligible applicants.
Are U.S. territories or possessions eligible?
Yes. The FOA highlights U.S. territories or possessions among eligible applicants.
Are non-U.S. (foreign) organizations eligible to apply?
Yes. The FOA explicitly includes non-domestic (non-U.S.) entities (foreign organizations) as eligible applicants.
Are federal agencies eligible to apply?
Yes. The announcement highlights eligible federal agencies as eligible applicants.
Does the FOA mention partnerships or multidisciplinary collaboration?
It notes that observer-performance research can be multidisciplinary and can benefit from partnerships among academic labs, health systems, community organizations, and international groups with expertise in perception, cognition, and medical imaging.
What are the CFDA numbers associated with this opportunity?
The FOA is associated with CFDA numbers 93.286 and 93.394.
When was this opportunity created?
The opportunity record indicates it was created on 2017-01-18.
What was the original closing date listed for this FOA?
The original closing date listed is 2018-01-23.
Does the provided record specify an award ceiling?
No. The information provided does not specify an award ceiling.
Does the provided record state the expected number of awards?
No. The information provided does not specify the expected number of awards.
In simple terms, what is NIH trying to fund through this FOA?
NIH is seeking rigorous research that explains how clinicians interpret cancer images and identifies evidence-based ways to improve interpretation, with the broader goal of reducing missed cancers and incorrect diagnoses.
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