About this file

This is a Request for Application (RFA) announcing the Precision Medicine with Artificial Intelligence - Integrating Imaging with Multimodal Data (PRIMED-AI) program, a multi-institute NIH Common Fund initiative. The program seeks to develop innovative, reliable, cost-effective AI-based clinical decision support tools that integrate clinical imaging with other multimodal health data to enhance personalized medicine for patients with chronic and other health conditions. Applications will be solicited through a Notice of Funding Opportunity (NOFO) utilizing the UG3 activity code (Cooperative Agreement) for the Playbook initiative, which funds discrete projects delivering actionable frameworks, standardized protocols, and standard operating procedures for responsible development and deployment of multimodal AI models, including error mitigation, data management, data ontology/linkage, and preparation for regulatory approval such as FDA clearance.

Applicants should possess expertise in AI-driven integration of clinical imaging with complex, multiscale health data and are encouraged to develop collaborative investigations combining harmonization expertise for multimodal AI tool development and validation. The program is administered by the Department of Health and Human Services National Institutes of Health under the Trans-NIH Research Support program (CFDA 93.310). Awards support research across higher education institutions, nonprofit research organizations, and small businesses, with recent awards ranging from approximately $25,000 to $8.0 million in total obligated costs and project durations typically spanning 2-5 years. Applications undergo scientific merit review by peer review groups and program relevance assessment by national advisory councils, with review cycles lasting four to nine months. Grantees must comply with OMB 2 CFR 200 audit requirements and retain financial and programmatic records for three years from annual Financial Status Report submission.

RFA-RM-27-011-Full-Announcement.html

Text of this file

Department of Health and Human Services

Part 1. Overview Information

Participating Organization(s)

National Institutes of Health (NIH)

Components of Participating Organizations

Office of Strategic Coordination (Common Fund)

This Notice of Funding Opportunity (NOFO) is developed as a Common Fund Initiative (https://commonfund.nih.gov/) through the Office of the NIH Director, Office of Strategic Coordination (https://commonfund.nih.gov/). All NIH Institutes and Centers participate in Common Fund initiatives. The NOFO will be administered by the National Center for Advancing Translational Sciences (NCATS) on behalf of the NIH.

Note: Not all NIH Institutes, Centers, and Offices (ICOs) participate in Announcements. Applicants should carefully note which ICOs participate in this announcement and view their respective areas of research interest at the ICO-Specific Scientific Interests website. ICOs that do not participate in this announcement will not consider applications for funding.

Funding Opportunity Title

Development and Testing of a Multi-use Frameworks Playbook for Precision Medicine with AI: Integrating Imaging with Multimodal Data (PRIMED-AI) (U01 Clinical Trial Not Allowed)

Activity Code

U01 Research Project – Cooperative Agreements

Announcement Type

New

Related Notices

Check for any recent Notices of NIH Policy Changes that may impact application requirements.

Funding Opportunity Number (FON)

RFA-RM-27-011

Companion Funding Opportunity

RFA-RM-27-012

UG3/

UH3

Phase 1 Exploratory/Developmental Cooperative Agreement/Exploratory/Developmental Cooperative Agreement Phase II

RFA-RM-27-013

UG3/

UH3

Phase 1 Exploratory/Developmental Cooperative Agreement/Exploratory/Developmental Cooperative Agreement Phase II

RFA-RM-27-014

, U54 Specialized Center (Cooperative Agreements)

RFA-RM-27-015

, U24 Resource-Related Research Project (Cooperative Agreements)

Number of Applications

See Part 2, Section III. 3. Additional Information on Eligibility.

Assistance Listing Number(s)

93.310

Funding Opportunity Purpose

The overarching goal of this notice of funding opportunity (NOFO) and its companion opportunities is to establish the Precision Medicine with AI: Integrating Imaging with Multimodal Data (PRIMED-AI) Program to support development of innovative, reliable, cost-effective, and sustainable multimodal AI-based clinical decision support (CDS) tools. PRIMED-AI CDS tools are based on the integration of clinical imaging with other types of multimodal health data to enhance care for patients with a wide range of health conditions. The PRIMED-AI Program seeks to catalyze the adoption of AI-based CDS tools into clinical workflows to enable novel personalized medicine strategies that address significant health challenges.

The purpose of this NOFO is to solicit applications for the design, development, and preliminary validation of robust frameworks for the application of multimodal-artificial intelligence (AI) models for clinical use. Frameworks developed through these awards would populate a "playbook", defined as a collection of actionable guidelines, standardized protocols, and/or standard operating procedures (SOPs) for reliable and effective development and deployment of multimodal AI tools. It is expected that the frameworks delineated in this playbook will directly address PRIMED-AI objectives and needs, while also remaining flexible enough to enable sufficient extensibility and interoperability for use across a broad spectrum of multimodal biomedical AI applications, both internal and external to the PRIMED-AI Program.

Funding Opportunity Goal(s)

The Office of Strategic Coordination (Common Fund) supports research and other projects that will accelerate fundamental biomedical discovery and translation of that knowledge into effective prevention strategies and new treatments.

Key Dates

Posted Date

June 30, 2026

Open Date (Earliest Submission Date)

September 09, 2026

Application Due Dates
Review and Award Cycles
New
Renewal / Resubmission / Revision (as allowed)
AIDS - New/Renewal/Resubmission/Revision, as allowed
Scientific Merit Review
Advisory Council Review
Earliest Start Date

October 09, 2026

Not Applicable

Not Applicable

March 2027
May 2027

July 2027

All applications are due by 5:00 PM local time of applicant organization.

Applicants are encouraged to apply early to allow adequate time to make any corrections to errors found in the application during the submission process by the due date.

No late applications will be accepted for this Notice of Funding Opportunity (NOFO).

Due Dates for E.O. 12372

Not Applicable

Expiration Date

October 10, 2026

Required Application Instructions

It is critical that applicants follow the instructions in the Research (R) Instructions in the How to Apply - Application Guide, except where instructed to do otherwise (in this NOFO or in a Notice from NIH Guide for Grants and Contracts).

Conformance to all requirements (both in the Application Guide and the NOFO) is required and strictly enforced. Applicants must read and follow all application instructions in the Application Guide as well as any program-specific instructions noted in Section IV. When the program-specific instructions deviate from those in the Application Guide, follow the program-specific instructions.

Applications that do not comply with these instructions may be delayed or not accepted for review.

There are several options available to submit your application through Grants.gov to NIH and Department of Health and Human Services partners. You must use one of these submission options to access the application forms for this opportunity.
Use the NIH ASSIST system to prepare, submit and track your application online.
Use an institutional system-to-system (S2S) solution to prepare and submit your application to Grants.gov and eRA Commons to track your application. Check with your institutional officials regarding availability.
Use Grants.gov Workspace to prepare and submit your application and eRA Commons to track your application.

Table of Contents

Part 1. Overview Information Key Dates Part 2. Full Text of Announcement Section I. Notice of Funding Opportunity Description Section II. Award Information Section III. Eligibility Information Section IV. Application and Submission Information Section V. Application Review Information Section VI. Award Administration Information Section VII. Agency Contacts Section VIII. Other Information

Part 2. Full Text of Announcement

Section I. Notice of Funding Opportunity Description

Purpose To promote the success of clinically relevant, multimodal AI tools in real-world environments, the PRIMED-AI Program will develop of standardized processes to organize and support the emerging multimodal-AI field. This initiative will fund discrete, two-year projects for development and initial testing of frameworks, which are actionable guidelines, standardized protocols, and/or standardized operating procedures for development and deployment of multimodal clinical decision support tools. These frameworks will be compiled into a "playbook." The frameworks in this playbook will address PRIMED-AI Program objectives while remaining flexible enough for broader use by the community. The Playbook award recipients will work closely with each other and with PRIMED-AI members overall. Awards made under this funding opportunity that will allow for the creation of responsible multimodal AI tools that will improve patient care.

Background Clinical imaging plays a pivotal role in diagnosis, treatment, and assessment of health outcomes; however, it is often utilized in isolation from other types of data during the development of artificial intelligence (AI)-based CDS tools. Current AI applications typically leverage a single imaging modality from radiological or ophthalmological sources. Because health is shaped by a variety of interconnected factors–clinical, biological, genetic, environmental and social–the Precision Medicine with AI: Integrating Imaging with Multimodal Data (PRIMED-AI) Program seeks to integrate clinical imaging with relevant, complementary multimodal data (MMD). The goal of the PRIMED-AI Program is to catalyze the development and adoption of innovative AI-based CDS tools into clinical workflows. The PRIMED-AI Program will tackle complex clinical challenges by fostering cross-disciplinary collaboration to create innovative, reliable, cost-effective, and sustainable AI solutions that enable precision medicine strategies.

Prior to applying, applicants are encouraged to check the PRIMED-AI Program website for updates to relevant FAQs and informational webinars, and to read all companion NOFOs , including methods PRIMED-AI intends to utilize to address error mitigation and technical management. Familiarity with the companion NOFOs may better inform proposed Playbook project interconnections with other aspects of the PRIMED-AI Program. Detailed definitions for key terms used in the PRIMED-AI program can be found on the PRIMED-AI website mentioned above.

Key Requirements All frameworks developed under this NOFO and the resulting playbook are expected to be shared and adopted by the broader research community and must be designed in such a way as to ensure that this is achievable.

Organizations/academic institutions/industry can accelerate their CDS model solutions by understanding how different types of frameworks can inform their approach to addressing inherent issues in their design and implementation. Frameworks should be practical, adapt to the rapidly evolving multimodal health AI landscape, address specific obstacles associated with imaging data (in addition to other types of data), and be operational to varying degrees. When applying frameworks, applicants must understand the dependencies between different types of frameworks and the particular healthcare problem they wish to address, customizing the use of the framework accordingly. Applicants must also identify what classes of data and/or models the developed frameworks would apply to and who the target audience is intended to be for the proposed frameworks. The context and use cases for frameworks as well as any limitations must be clear, and this must be included in the final output of the recipient project.

Each applicant is required to propose two or more distinct frameworks for development – the frameworks should be on two separate framework topics, rather than two methods of addressing the same framework topic.

Applicants may submit frameworks on the following topics, either individually or combined, and not limited to:

AI-enabled scientific discovery frameworks for using multimodal clinical data to generate hypotheses around patient health and care, not just prediction models.
World-class dataset generation frameworks to encourage the creation of curated, interoperable, AI-ready datasets that could serve as a shared resource across clinical AI projects. This could include proposals to support the Genesis program and other Administration AI Action Plan priorities.
Training frameworks for the development of training modules or curricula for clinicians to support AI literacy and promote AI adoption into clinical practice.
Data quality frameworks to guide the collection and preparation of AI-ready data while working to minimize the introduction of errors when training the model;
Frameworks that address data leakage, where data used to train an algorithm has the information which the model is trying to predict, resulting in unreliable and bad prediction;
Data lifecycle management frameworks to help to ensure the availability and disposition of production data as well as reduce drift and minimize the possible reintroduction of errors;
Frameworks to quantify uncertainty, deriving typically from either the data used to train the model or the model itself;
Harmonization frameworks that define guidelines for ensuring that multimodal data and/or models can be utilized together;
Generalizability frameworks that utilize benchmarks to interrogate model generalizability at differing clinical environments, and what must be specific for certain clinical environments;
Transparency/explainability frameworks to increase user trust in multimodal AI tools by enabling stakeholders to understand AI decision-making processes;
Model card and data card formatting frameworks to provide guidelines and requirements for proper model card and data card development;
Standards-based (e.g., OMOP, FHIR) frameworks to support interoperable, data linkage and that highlights useful data features, improve AI-readiness, and mitigates risk while maintaining security;
Privacy Enhancing Technologies frameworks for model sharing to prevent the unintended disclosure of sensitive and/or secure data used for model training;
Navigating regulatory hurdles frameworks for identifying and providing guidance on steps to address moving multimodal AI tools from development to the clinic.

Framework Overlap - It is expected that frameworks evolve and mature to meet multiple user needs. Thus, many frameworks overlap or are complementary to each other. Because interdisciplinary teams with differing backgrounds and objectives must come to a consensus, overlaps between frameworks provide groups with the flexibility to utilize relevant aspects of multiple frameworks when developing their specific AI models. After award receipt, it is anticipated that Playbook award recipients will collaborate to synergize frameworks. Upon award, all Playbook award recipients are required to establish a working group that will enable the recipients to coordinate development of the final playbook product and ensure minimal overlap between each of the recipients. This working group will be required to meet at least monthly to streamline playbook development.

Applications proposing frameworks or methods that are duplicative to existing frameworks or are incremental advancements to existing frameworks will be considered of low programmatic relevance, which will decrease likelihood of funding.

The following will be considered non-responsive and will not be reviewed:

Projects that do not propose two or more distinct frameworks for development.

See Section VIII. Other Information for award authorities and regulations.

Section II. Award Information

Funding Instrument

Cooperative Agreement: A financial assistance mechanism used when there will be substantial Federal scientific or programmatic involvement. Substantial involvement means that, after award, NIH scientific or program staff will assist, guide, coordinate, or participate in project activities. See Section VI.2 for additional information about the substantial involvement for this NOFO.

Application Types Allowed

New

The OER Glossary and the How to Apply Application Guide provide details on these application types. Only those application types listed here are allowed for this NOFO.

Clinical Trial?

Not Allowed: This NOFO only accepts applications that do not propose clinical trials. Note: Applications may propose activities involving human subjects that are not deemed clinical trials.

Need help determining whether you are doing a clinical trial?

Funds Available and Anticipated Number of Awards

The NIH Common Fund intends to commit approximately $2,000,000 in FY2027. Five awards are anticipated, contingent upon availability of funds and receipt of a sufficient number of meritorious applications.

Award Budget

Application budgets are limited to $300,000 direct costs per year and need to reflect the actual needs of the proposed project.

Award Project Period

The scope of the proposed project should determine the project period. The maximum project period is 2 years.

NIH grants policies as described in the NIH Grants Policy Statement will apply to the applications submitted and awards made from this NOFO.

Section III. Eligibility Information

1. Eligible Applicants

Eligible Organizations

Higher Education Institutions - Includes all types
Public/State Controlled Institutions of Higher Education
Private Institutions of Higher Education

Nonprofits Other Than Institutions of Higher Education

Nonprofits with 501(c)(3) IRS Status (Other than Institutions of Higher Education)
Nonprofits without 501(c)(3) IRS Status (Other than Institutions of Higher Education)

For-Profit Organizations

Small Businesses
For-Profit Organizations (Other than Small Businesses)

Local Governments

State Governments
County Governments
City or Township Governments
Special District Governments
Indian/Native American Tribal Governments (Federally Recognized)
Indian/Native American Tribal Governments (Other than Federally Recognized).

Federal Governments

Eligible Agencies of the Federal Government

U.S. Territory or Possession

Other

Independent School Districts

Public Housing Authorities/Indian Housing Authorities

Native American Tribal Organizations (other than Federally recognized tribal governments)

Faith-based or Community-based Organizations

Regional Organizations

Applications Involving the NIH Intramural Research Program The requests by NIH intramural scientists will be limited to the incremental costs required for participation. As such, these requests will not include any salary and related fringe benefits for career, career conditional or other Federal employees (civilian or uniformed service) with permanent appointments under existing position ceilings or any costs related to administrative or facilities support (equivalent to Facilities and Administrative or F&A costs). These costs may include salary for staff to be specifically hired under a temporary appointment for the project, consultant costs, equipment, supplies, travel, and other items typically listed under Other Expenses. Applicants should indicate the number of person-months devoted to the project, even if no funds are requested for salary and fringe benefits.

If selected, appropriate funding will be provided by the NIH Intramural Program. Intellectual property will be managed in accord with established policy of NIH in compliance with Executive Order 10096, as amended, 45 CFR Part 7; patent rights for inventions developed in NIH facilities are NIH property unless NIH waives its rights.

Should an extramural application include collaboration with intramural scientists, no funds for the support of the intramural scientists may be requested in the application. The intramural scientist may submit a separate request for intramural funding as described above.

Foreign Organizations/International Collaborations

Non-domestic (non-U.S.) Entities (Foreign Organizations) 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.

Required Registrations

Applicant Organizations Applicant organizations must complete and maintain the following registrations as described in the How to Apply- Application Guide to be eligible to apply for or receive an award. All registrations must be completed prior to the application being submitted. Registration can take 6 weeks or more, so applicants should begin the registration process as soon as possible. Failure to complete registrations in advance of a due date is not a valid reason for a late submission, please reference the NIH Grants Policy Statement Section 2.3.9.2 Electronically Submitted Applications for additional information.

System for Award Management (SAM) – Applicants must complete and maintain an active registration, which requires renewal at least annually. The renewal process may require as much time as the initial registration. SAM registration includes the assignment of a Commercial and Government Entity (CAGE) Code for domestic organizations which have not already been assigned a CAGE Code. Foreign organizations must obtain a NATO Commercial and Government Entity (NCAGE) Code (in lieu of a CAGE code) in order to register in SAM. Unique Entity Identifier (UEI)- A UEI is issued as part of the SAM.gov registration process. The same UEI must be used for all registrations, as well as on the grant application.

eRA Commons - Once the unique organization identifier is established, organizations can register with eRA Commons in tandem with completing their Grants.gov registrations; all registrations must be in place by time of submission. eRA Commons requires organizations to identify at least one Signing Official (SO) and at least one Program Director/Principal Investigator (PD/PI) account in order to submit an application.
Grants.gov – Applicants must have an active SAM registration in order to complete the Grants.gov registration.

Program Directors/Principal Investigators (PD(s)/PI(s)) All PD(s)/PI(s) must have an eRA Commons account. PD(s)/PI(s) should work with their organizational officials to either create a new account or to affiliate their existing account with the applicant organization in eRA Commons. If the PD/PI is also the organizational Signing Official, they must have two distinct eRA Commons accounts, one for each role. Obtaining an eRA Commons account can take up to 2 weeks.

All PD(s)/PI(s) must be registered with ORCID. The personal profile associated with the PD(s)/PI(s) eRA Commons account must be linked to a valid ORCID ID. For more information on linking an ORCID ID to an eRA Commons personal profile see the ORCID topic in our eRA Commons online help.

Eligible Individuals (Program Director/Principal Investigator)

Any individual(s) with the skills, knowledge, and resources necessary to carry out the proposed research as the Program Director(s)/Principal Investigator(s) (PD(s)/PI(s)) is invited to work with their organization to develop an application for support.

For institutions/organizations proposing multiple PDs/PIs, visit the Multiple Program Director/Principal Investigator Policy and submission details in the Senior/Key Person Profile (Expanded) Component of the How to Apply-Application Guide.

2. Cost Sharing This NOFO does not require cost sharing as defined in the NIH Grants Policy Statement Section 1.2 Definition of Terms.

3. Additional Information on Eligibility Number of Applications

Applicant organizations may submit more than one application, provided that each application is scientifically distinct.

The NIH will not accept duplicate or highly overlapping applications under review at the same time, per NIH Grants Policy Statement Section 2.3.7.4 Submission of Resubmission Application. This means that the NIH will not accept:

A new (A0) application that is submitted before issuance of the summary statement from the review of an overlapping new (A0) or resubmission (A1) application.

A resubmission (A1) application that is submitted before issuance of the summary statement from the review of the previous new (A0) application.

An application that has substantial overlap with another application pending appeal of initial peer review (see NIH Grants Policy Statement 2.3.9.4 Similar, Essentially Identical, or Identical Applications).

Section IV. Application and Submission Information

1. Requesting an Application Package The application forms package specific to this opportunity must be accessed through ASSIST, Grants.gov Workspace or an institutional system-to-system solution. Links to apply using ASSIST or Grants.gov Workspace are available in Part 1 of this NOFO. See your administrative office for instructions if you plan to use an institutional system-to-system solution.

2. Content and Form of Application Submission It is critical that applicants follow the instructions in the Research (R) Instructions in the How to Apply - Application Guide except where instructed in this notice of funding opportunity to do otherwise (in this NOFO, in a policy notice, or other notice from NIH Guide for Grants and Contracts). Conformance to the requirements in the Application Guide is required and strictly enforced. Applications that are out of compliance with these instructions may be delayed or not accepted for review.

Page Limitations All page limitations described in the How to Apply- Application Guide and the Table of Page Limits must be followed.

Instructions for Application Submission

The following section supplements the instructions found in the How to Apply- Application Guide and should be used for preparing an application to this NOFO.

SF424(R&R) Cover All instructions in the How to Apply - Application Guide must be followed.

SF424(R&R) Project/Performance Site Locations All instructions in the How to Apply- Application Guide must be followed.

SF424(R&R) Other Project Information

SF424(R&R) Senior/Key Person Profile

R&R or Modular Budget

If the application is submitted by or includes collaboration with an NIH Intramural Research program, the budget request for this NOFO must distinguish between extramural costs, and the NIH intramural investigator costs. Extramural costs are associated with the extramural investigator and the applicant organization. NIH intramural investigator costs are those required by the intramural investigator for carrying out the proposed work and which are specifically identified with the project.

NIH Intramural Costs (only include if applicable) Each NIH Institute and Center maintains individual policies with respect to the scope of resources available for intramural collaboration. The requests by NIH intramural scientists will be limited to the incremental costs required for participation. As such, these requests will not include any salary and related fringe benefits for career, career conditional or other Federal employees (civilian or uniformed service) with permanent appointments under existing position ceilings or any costs related to administrative or facilities support (equivalent to Facilities and Administrative or F&A costs). These costs may include salary for staff to be specifically hired under a temporary appointment for the project, consultant costs, equipment, supplies, travel, and other items typically listed under Other Expenses. Applicants should indicate the number of person-months devoted to the project, even if no funds are requested for salary and fringe benefits. Resources required need to be determined before the research protocol can be approved by the respective NIH Institute/Center. Prospective applicants are strongly encouraged to contact staff at the participating NIH Institute/Center to discuss intramural investigator costs, because individual Institutes/Centers may have different policies regarding support for the intramural portion of the project.

Once the intramural investigator costs are known, the extramural applicant will enter this amount as a "subaward" budget in the application, and attach appropriate justification and documentation.

Intellectual property will be managed in accord with established policy of NIH in compliance with Executive Order 10096, as amended, 45 CFR Part 7; patent rights for inventions developed in NIH facilities are NIH property unless NIH waives its rights.

Extramural Award Recipient Costs (all applicants) Extramural costs may include such items as salary support for the extramural PD/PI and staff at the applicant organization, supplies, laboratory animals, data analysis, and other allowable costs for work performed at the (extramural) applicant organization, as well as travel costs for the extramural investigator(s).

The PD/PI and up to two other key personnel with complementary expertise are required to attend an annual in person Consortium meeting in Bethesda, MD, as well as virtual Consortium-led tutorials and open innovation meetings, as appropriate. Funds to attend these in person meetings should be budgeted in the application.
Extramural costs should also include travel costs for participation in an in-person frameworks showcase event at the end of year 2 of award and should include funds for 2-3 members, including the PD/PI, to attend this showcase.

R&R Subaward Budget

PHS 398 Cover Page Supplement

PHS 398 Research Plan All instructions in the How to Apply - Application Guide must be followed, with the following additional instructions:

Research Strategy Required Components Each applicant is required to propose two or more distinct frameworks for development – the frameworks should be on two separate framework topics, rather than two methods of addressing the same framework topic. All frameworks developed under this NOFO and the resulting playbook are expected to be shared and adopted by the broader research community and must be designed in such a way as to ensure that this is achievable. Frameworks must be practical, adapt to the rapidly evolving multimodal health AI landscape, and address specific obstacles associated with imaging data, in addition to other types of data.

As part of the research strategy, applicants must describe clear plans for developing two or more frameworks, to include the following:

Summary of proposed frameworks, to include the area of need, why the frameworks are needed, and how the proposed frameworks would address PRIMED-AI objectives and needs, while also remaining flexible enough for use with multimodal biomedical AI inside and outside the PRIMED-AI Program;
Description of comprehensive team for development of proposed frameworks, to include relevant stakeholders (e.g. patients, clinicians, software developers, data scientists, regulators, others) to ensure that frameworks are usable throughout their lifecycles by the relevant parties and in appropriate environments;
Description of classes of data, to include imaging data, and/or models the developed frameworks would apply to and who the target audience is for the developed framework;
Summary of any potential dependencies between different types of frameworks and the particular healthcare problem they wish to address;
Description of a plan to promote clinical AI adoption and innovation through obtaining user feedback on framework usability and applicability, to include iterative rounds of framework updates based on this feedback.

The application must include a detailed draft of the expected final framework layout to provide a starting point for iteration during the project and during discussions with the other Playbook award recipients. The proposal must include an early SOP, relevant definitions, and framework management plans.

Recipients will work with the PRIMED-AI Steering Committee and, the Logistics Center to post a final framework on the PRIMED-AI web portal as a 12-month milestone.

The following additional items must also be addressed in the application:

Relevant Expertise. Describe the investigators' expertise in developing AI frameworks. Demonstrate the capacity for flexibility within the proposed framework development strategy to account for varying multimodal data, tool type and clinical environments.
Management Plan. Describe how the PD(s)/PI(s) will manage the proposed project, who will oversee the day-to-day activities (e.g., a Project Manager if not a PD/PI), and how the management structure will support achievement of the proposed goals and milestones. Describe the organization of the proposed project, its management structure, key personnel, and how it will interface with the other Playbook award recipients and Validation Center, as well as with the PRIMED-AI Steering Committee.
Consortium Collaboration Plan. All Playbook award recipients will collaborate effectively and participate in the PRIMED-AI consortium to maximize the chances of overall success of the Program. Briefly describe plans to work with other Playbook award recipients, the Logistics Center for dissemination and web portal inclusion, and the Validation Center to harmonize processes for appropriate development and validation of multimodal AI tools.
Milestone Plan. Define clear goals and a timeline for the development of proposed frameworks, and metrics that will document progress towards the goals for the PRIMED-AI Program. This plan must include a Gantt chart of proposed timelines and milestones, as well as a detailed list of all milestones with associated details. Examples include, but are not limited to, milestones that track software development, validation timelines for frameworks, or deployment of frameworks for use by the Validation Center. Include plans for critically evaluating and revising milestones . The number and duration of milestones will depend on the project.Include these items for each year, as appropriate. Milestones may be revised at the time of the award and/or periodically as described in the terms and conditions of a Cooperative Agreement in section VI.2.
Performance Reporting. Describe a plan for collection and reporting of quantitative performance metrics to demonstrate progress. Such metrics can be used to monitor the progress and impact of the Program, and will be shared with the Logistics Center, which will be responsible for coordinating evaluations across the Consortium. Plans will include a mechanism for critical evaluation and timely revision of these metrics on a regular basis.

NIH Intramural Program Applicants:

Letters of Support: Applications from the NIH Intramural Program, either as primary applicants or as collaborators, submitted in response to this NOFO must include a current (i.e. within 2 months of application due date) letter from the Scientific Director of their Division indicating that the intramural scientist will be able to collaborate on the project.

Resource Sharing Plan: Individuals are required to comply with the instructions for the Resource Sharing Plans as provided in the How to Apply - Application Guide.

Applicants should indicate their willingness to abide by all data deposition, quality control metrics, standardization, metadata requirements, data and software release, and public copyright license policies developed by the PRIMED-AI Consortium and approved by NIH staff. Prior to funding, NIH Program Staff may negotiate modifications to the Sharing Plan with the applicant.

Other Plan(s):

All instructions in the How to Apply - Application Guide must be followed, with the following additional instructions:

A Data Management and Sharing Plan (DMS Plan) is required for any NIH-funded or conducted research that will generate scientific data. Applicants must submit the DMS Plan at the time of application using the NIH DMS Plan Format Page. The DMS Plan must address the elements in the structured format. Where the DMS Plan Format Page requires a "Yes or No" response, no additional narrative is allowed.

Appendix: Only limited Appendix materials are allowed. Follow all instructions for the Appendix as described in the How to Apply - Application Guide.
No publications or other material, with the exception of blank questionnaires or blank surveys, may be included in the Appendix.

PHS Human Subjects and Clinical Trials Information When involving human subjects research, clinical research, and/or NIH-defined clinical trials (and when applicable, clinical trials research experience) follow all instructions for the PHS Human Subjects and Clinical Trials Information form in the How to Apply- Application Guide, with the following additional instructions:

If you answered "Yes" to the question "Are Human Subjects Involved?" on the R&R Other Project Information form, you must include at least one human subjects study record using the Study Record: PHS Human Subjects and Clinical Trials Information form or Delayed Onset Study record.

Study Record: PHS Human Subjects and Clinical Trials Information

Delayed Onset Study Note: Delayed onset does NOT apply to a study that can be described but will not start immediately (i.e., delayed start). All instructions in the How to Apply- Application Guide must be followed.

PHS Assignment Request Form

3. Unique Entity Identifier and System for Award Management (SAM) See Part 2. Section III.1 for information regarding the requirement for obtaining a unique entity identifier and for completing and maintaining active registrations in System for Award Management (SAM), NATO Commercial and Government Entity (NCAGE) Code (if applicable), eRA Commons, and Grants.gov

4. Submission Dates and Times Part I. contains information about Key Dates and times. Applicants are encouraged to submit applications before the due date to ensure they have time to make any application corrections that might be necessary for successful submission. When a submission date falls on a weekend or Federal holiday, the application deadline is automatically extended to the next business day.

Organizations must submit applications to Grants.gov (the online portal to find and apply for grants across all Federal agencies). Applicants must then complete the submission process by tracking the status of the application in the eRA Commons, NIH's electronic system for grants administration. NIH and Grants.gov systems check the application against many of the application instructions upon submission. Errors must be corrected and a changed/corrected application must be submitted to Grants.gov on or before the application due date and time. If a Changed/Corrected application is submitted after the deadline, the application will be considered late. Applications that miss the due date and time are subjected to the NIH Grants Policy Statement Section 2.3.9.2 Electronically Submitted Applications.

Applicants are responsible for viewing their application before the due date in the eRA Commons to ensure accurate and successful submission.

Information on the submission process and a definition of on-time submission are provided in the How to Apply-Application Guide.

5. Intergovernmental Review (E.O. 12372) This initiative is not subject to intergovernmental review.

6. Funding Restrictions All NIH awards are subject to the terms and conditions, cost principles, and other considerations described in the NIH Grants Policy Statement.

Pre-award costs are allowable only as described in the NIH Grants Policy Statement Section 7.9.1 Selected Items of Cost.

7. Other Submission Requirements and Information

Applications must be submitted electronically following the instructions described in the How to Apply – Application Guide. Paper applications will not be accepted.

Applicants must complete all required registrations before the application due date. Section III. Eligibility Information contains information about registration.

For assistance with your electronic application or for more information on the electronic submission process, visit How to Apply – Application Guide. If you encounter a system issue beyond your control that threatens your ability to complete the submission process on-time, you must follow the Dealing with System Issues guidance. For assistance with application submission, contact the Application Submission Contacts in Section VII.

Important reminders:

All PD(s)/PI(s) must include their eRA Commons ID in the Credential field of the Senior/Key Person Profile form. Failure to register in the Commons and to include a valid PD/PI Commons ID in the credential field will prevent the successful submission of an electronic application to NIH. See Section III of this NOFO for information on registration requirements.

The applicant organization must ensure that the unique entity identifier provided on the application is the same identifier used in the organization's profile in the eRA Commons and for the System for Award Management. Additional information may be found in the How to Apply – Application Guide.

See more tips for avoiding common errors.

Upon receipt, applications will be evaluated for completeness and compliance with application instructions by the Center for Scientific Review and responsiveness by components of participating organizations, NIH. Applications that are incomplete, non-compliant and/or nonresponsive will not be reviewed.

Mandatory Disclosure

Recipients or subrecipients must submit any information related to violations of federal criminal law involving fraud, bribery, or gratuity violations potentially affecting the federal award. See Mandatory Disclosures, 2 CFR 200.113 and NIH Grants Policy Statement Section 4.1.35.

Send written disclosures to the NIH Chief Grants Management Officer listed on the Notice of Award for the IC that funded the award and to the HHS Office of Inspector Grant Self Disclosure Program at grantdisclosures@oig.hhs.gov.

Post Submission Materials Applicants are required to follow the instructions for post-submission materials, as described in the policy

Any instructions provided here are in addition to the instructions in the policy.

Section V. Application Review Information

1. Criteria Only the review criteria described below will be considered in the review process. Applications submitted to the NIH in support of the NIH mission are evaluated for scientific and technical merit through the NIH peer review system.

Overall Impact

Reviewers will provide an overall impact score to reflect their assessment of the likelihood for the project to exert a sustained, powerful influence on the research field(s) involved, in consideration of the following scored review criteria and additional review criteria (as applicable for the project proposed). An application does not need to be strong in all categories to be judged likely to have a major scientific impact.

Scored Review Criteria

Reviewers will consider Factors 1, 2 and 3 in the determination of scientific merit, and in providing an overall impact score. In addition, Factors 1 and 2 will each receive a separate factor score.

Factor 1. Importance of the Research (Significance and Innovation)

Significance
Evaluate the importance of the proposed research in the context of current scientific challenges and opportunities, either for advancing knowledge within the field, or more broadly. Assess whether the application addresses an important gap in knowledge in the field, would solve a critical problem, or create a valuable conceptual or technical advance.
Evaluate the rationale for undertaking the study, the rigor of the scientific background for the work (e.g., prior literature and/or preliminary data) and whether the scientific background justifies the proposed study.

Innovation

Evaluate the extent to which innovation influences the importance of undertaking the proposed research. Note that while technical or conceptual innovation can influence the importance of the proposed research, a project that is not applying novel concepts or approaches may be of critical importance for the field.
Evaluate whether the proposed work applies novel concepts, methods or technologies or uses existing concepts, methods, technologies in novel ways, to enhance the overall impact of the project.
Specific to this NOFO:
Evaluate the need for the proposed frameworks and the extent to which the proposed frameworks will benefit the imaging and multimodal AI field towards precision medicine strategies.

Factor 2. Rigor and Feasibility (Approach)

Approach
Evaluate the scientific quality of the proposed work. Evaluate the likelihood that compelling, reproducible findings will result (rigor) and assess whether the proposed studies can be done well and within the timeframes proposed (feasibility).

Rigor:

Evaluate the potential to produce unbiased, reproducible, robust data.
Evaluate the rigor of experimental design and whether appropriate controls are in place.
Evaluate whether the sample size is sufficient and well-justified.
Assess the quality of the plans for analysis, interpretation, and reporting of results.
Evaluate whether the investigators presented adequate plans to address relevant biological variables, such as sex or age, in the design, analysis, and reporting.
For applications involving human subjects or vertebrate animals, also evaluate:the rigor of the intervention or study manipulation (if applicable to the study design).
whether outcome variables are justified.
whether the results will be generalizable or, in the case of a rare disease/special group, relevant to the particular subgroup.
whether the study population appropriately models the target population.

For applications involving human subjects, including clinical trials, assess the adequacy of inclusion plans as appropriate for the scientific goals of the research. Considerations of appropriateness may include disease/condition/behavior incidence, prevalence, or population burden, population representation, and/or current state of the science.

Feasibility:

Evaluate whether the proposed approach is sound and achievable, including plans to address problems or new challenges that emerge in the work. For proposed studies in which feasibility may be less certain, evaluate whether the uncertainty is balanced by the potential for major advances.
For applications involving human subjects, including clinical trials, evaluate the adequacy and feasibility of the plan to recruit and retain a study population that appropriately models the target population. Additionally, evaluate the likelihood of successfully achieving the proposed enrollment based on age, race, ethnicity, and sex.
For clinical trial applications, evaluate whether the study timeline and milestones are feasible.
Specific to this NOFO:
Evaluate the extent to which the flexibility and usability of the frameworks allows them to be generalizable to various environments and clinical workflows, and/or for variable multimodal AI applications.
Evaluate the extent to which dependencies between different types of frameworks are addressed.
Evaluate the appropriateness of timelines and milestones for the proposed work.
Evaluate the extent to which the collaboration plan will allow for harmonization of processes for appropriate development and validation of multimodal AI tools utilizing proposed frameworks.
Evaluate the extent to which the plan will promote clinical AI adoption and innovation.

Factor 3. Expertise and Resources (Investigator(s) and Environment)

Investigator(s) Evaluate whether the investigator(s) have demonstrated background, training, and expertise, as appropriate for their career stage, to conduct the proposed work. For Multiple Principal Investigator (MPI) applications, assess the quality of the leadership plan to facilitate coordination and collaboration.

Environment Evaluate whether the institutional resources are appropriate to ensure the successful execution of the proposed work.

Specific to this NOFO:
Evaluate the extent to which the proposed team includes relevant expertise for the successful development and utility of proposed frameworks throughout their lifecycles.
Evaluate past development and adoption of frameworks and the extent to which the proposed team demonstrates the capacity for flexibility within their framework development strategy to account for varying multimodal data, tool type and clinical environments.

Additional Review Criteria

As applicable for the project proposed, reviewers will consider the following additional items while determining scientific and technical merit, but will not give criterion scores for these items, and should consider them in providing an overall impact score.

Protections for Human Subjects

For research that involves human subjects but does not involve one of the categories of research that are exempt under 45 CFR Part 46, evaluate the justification for involvement of human subjects and the proposed protections from research risk relating to their participation according to the following five review criteria: 1) risk to subjects; 2) adequacy of protection against risks; 3) potential benefits to the subjects and others; 4) importance of the knowledge to be gained; and 5) data and safety monitoring for clinical trials.

For research that involves human subjects and meets the criteria for one or more of the categories of research that are exempt under 45 CFR Part 46, evaluate: 1) the justification for the exemption; 2) human subjects involvement and characteristics; and 3) sources of materials. For additional information on review of the Human Subjects section, please refer to the Guidelines for the Review of Human Subjects.

This NOFO only accepts applications that do not propose clinical trials. Note: Applications may propose activities involving human subjects that are not deemed clinical trials.

Vertebrate Animals

When the proposed research includes Vertebrate Animals, evaluate the involvement of live vertebrate animals according to the following criteria: (1) description of proposed procedures involving animals, including species, strains, ages, sex, and total number to be used; (2) justifications for the use of animals versus alternative models and for the appropriateness of the species proposed; (3) interventions to minimize discomfort, distress, pain and injury; and (4) justification for euthanasia method if NOT consistent with the AVMA Guidelines for the Euthanasia of Animals. For additional information on review of the Vertebrate Animals section, please refer to the Worksheet for Review of the Vertebrate Animals Section.

Biohazards

When the proposed research includes Biohazards, evaluate whether specific materials or procedures that will be used are significantly hazardous to research personnel and/or the environment, and whether adequate protection is proposed.

Resubmissions

As applicable, evaluate the full application as now presented.

Renewals

As applicable, evaluate the progress made in the last funding period.

Revisions

As applicable, evaluate the appropriateness of the proposed expansion of the scope of the project.

Additional Review Considerations

As applicable for the project proposed, reviewers will consider each of the following items, but will not give scores for these items, and should not consider them in providing an overall impact score.

Authentication of Key Biological and/or Chemical Resources

For projects involving key biological and/or chemical resources, evaluate the brief plans proposed for identifying and ensuring the validity of those resources.

Budget and Period of Support

Evaluate whether the budget and the requested period of support are fully justified and reasonable in relation to the proposed research.

2. Review and Selection Process

Applications will be evaluated for scientific and…

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