The NIH Common Fund released a second new funding opportunity for the Complement Animal Research In Experimentation (Complement-ARIE) Program!
The Complement-ARIE Program aims to accelerate the development, standardization, validation, and use of human-based New Approach Methodologies (NAMs) that will transform the way we do basic, translational, and clinical sciences. NAMs are laboratory (in vitro and in chemico) or computer-based (in silico) research approaches intended to more accurately model human biology, and complement, or in some cases, replace traditional research models.
Complement-ARIE Program goals include:
- To better model and understand human health and disease outcomes across diverse populations.
- To develop NAMs that provide insight into specific biological processes or disease states.
- To validate mature NAMs to support regulatory use and standardization.
- To Complement traditional models and make biomedical research more efficient and effective.
The Complement-ARIE Program issued a funding opportunity for a Complement-ARIE New Approach Methodologies (NAMs) Data Hub and Coordinating Center.
The NAMs Data Hub and Coordinating Center will coordinate Complement-ARIE Program activities and be the centralized Data Hub by creating and managing an integrated data structure that supports the development, validation, and qualification of NAMs incorporating FAIR data principles.
View the funding opportunity here: https://go.nih.gov/3MBEmGy
An informational webinar will be held at a future date. Details will be posted here when available: https://commonfund.nih.gov/complementarie/faqs
Application Letters of Intent (LOIs) are encouraged, though not mandatory, and are due: February 10, 2025.
Applications are due: March 10, 2025, by 5:00 PM local time of applicant organization.
Learn more about the Complement-ARIE Program: https://commonfund.nih.gov/complementarie
Have questions? Reach out to Complement-ARIE@od.nih.gov
Keep up to date with future announcements through the https://go.nih.gov/ComplementARIE_listserv