Academic-Industrial Partnerships for Translation of Technologies for Diagnosis and Treatment (R01 - Clinical Trial Optional)
National Institutes of Health (NIH)
Maximum funding amount: $499,000 per year
Maximum project duration: 5 years
To stimulate efforts to translate scientific discoveries and engineering developments into methods or tools for disease diagnosis and treatment.
Focus on improving screening, diagnosis, and treatment methods for cancer.
Academic institutions
Industrial organizations
Cancer patients and healthcare providers
Eligible organization types include higher education institutions, nonprofits, for-profit organizations, small businesses, local governments, state governments, and tribal governments.
Non-domestic (non-U.S.) entities are also eligible to apply.
Domestic and foreign organizations can apply.
Non-domestic components of U.S. organizations are eligible.
Projects must involve partnerships between academic and industrial organizations.
Focus on enhancing, adapting, optimizing, and validating technologies for cancer diagnosis and treatment.
Application budgets are limited to $499,000 (direct costs) per year.
No cost-sharing is required.
Application due date: January 7, 2028.
Earliest submission date: January 5, 2025.
Applicants may submit more than one application, provided each is scientifically distinct.
The NIH will not accept duplicate or overlapping applications under review at the same time.
Applications must follow the instructions in the Research (R) Instructions in the How to Apply - Application Guide.
Applications will be evaluated based on scientific and technical merit.
Review criteria include significance, innovation, rigor, and feasibility.
Applications will undergo a peer review process by appropriate Scientific Review Groups.
Scientific and technical merit of the proposed project.
Relevance to program priorities.
Partnerships must include at least one academic and one industrial organization.
Applications proposing phase III clinical trials are not supported.
Projects should aim to deliver new capabilities for end users.
Strong partnerships may enhance the likelihood of successful project outcomes.
Establishing strong interdisciplinary partnerships.
Submitting overlapping applications.
Clearly define the innovation and its potential impact.
Focus on the translational aspects of the proposed research.