Develop human-based new approach methodologies (NAMs) – including lab-based human cell systems, computer models, and biochemical assays.
The NIH Complement-ARIE NAMs Reduction to Practice Challenge is a $7 million competition to accelerate the development of human-centric New Approach Methodologies (NAMs) that reduce or replace animal testing in biomedical research. Multidisciplinary teams are tasked with bringing combinatorial NAMs to a practical form within a 3-year period
Apply to develop human-based non-animal methods – including lab-based human cell systems, computer models, and biochemical assays – that can be turned into a practical, working solution within three years.
Recent technological advances have set the stage for a renewed focus on human-based solutions called new approach methodologies (NAMs) that can complement, and in some cases replace, animal models in research and regulatory testing. These NAMs generally span advanced cell-tissue-organoid (in vitro), computational modeling (in silico), and cell-free biochemical analysis (in chemico) techniques, with each type of NAM offering different advantages. A combination and integration of multiple NAMs elements into a synergistic approach that augments gaps and/or deficiencies in individual NAMs approaches is a “combinatorial NAM” and could ultimately allow for improved predictions of human clinical response. Although many combinatorial NAMs are still early in development, not validated and standardized, nor available to the market broadly, combinatorial NAMs can potentially transform the way biomedical research, drug development, and clinical trials are conducted.
To accelerate development and validation of combinatorial NAMs for human-based scientific and regulatory purposes, the National Institutes of Health (NIH) Common Fund’s Complement-Animal Research In Experimentation (Complement-ARIE) program in collaboration with the Food and Drug Administration (FDA) and Environmental Protection Agency (EPA), is launching the Reduction to Practice (RTP) Challenge. This challenge invites innovative combinatorial NAMs solutions from multidisciplinary teams who can successfully demonstrate implementation of their human-based solution in a practical and usable form within a 3-year period. Solvers will have the chance to win up to $1,430,000 in cumulative cash prizes and have their solution provided validation and/or qualification support by the Complement-ARIE Validation and Qualification Network (VQN). This Challenge is open to the public. Participants and winners from the Complement-ARIE Ideation Challenge launched in November 2023 are also encouraged to apply
Awards:- Total cash prizes: $7,000,000
Deadline:- 01-08-2028
