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New Data Hub Aims to Advance Alternatives to Animal Testing
The $25 million NIH grant funds a hub using AI and cloud tech to standardize human-based testing data, accelerating alternatives to animal research over five years.
- On March 18, 2026, NYU Langone Health and Sage Bionetworks were awarded a $25 million NIH grant to establish the NYU‑Sage NAMs Data Hub and Coordination Center, supporting the Complement‑ARIE program.
- The Complement‑ARIE program aims to speed development of new approach methodologies , which are lab- or computer-based methods including organoid and organ-on-a-chip platforms, AI and machine-learning models, and cell-free biochemical assays.
- Using a cloud architecture, the NYU‑Sage NDHCC will standardize and share multimodal datasets, integrate the FUSION ontology framework, provide AI‑augmented curation, and host DREAM Challenges to promote adoption.
- A Validation and Qualification Network will bring industry and regulators together to set NAMs validation criteria, led by Gustavo A. Stolovitzky, PhD, with other principal investigators and funded by NIH Common Fund grant U24ES03837.
- Coordinating consortium data could accelerate NAMs adoption and reproducibility, said Gustavo, as the NDHCC aims to transform data into a resource for discovery and community benefit.
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New data hub aims to advance alternatives to animal testing
A research team at NYU Langone Health and Sage Bionetworks has been awarded a $25 million grant to establish the data hub and coordinating center for the National Institutes of Health's Complement-Animal Research in Experimentation (Complement-ARIE) program.
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$25 Million Project Seeks to Coordinate Data Produced by Human-Based Testing Methods
NEW YORK, March 18, 2026 /PRNewswire/ -- A research team at NYU Langone Health and Sage Bionetworks has been awarded a $25 million grant to establish the data hub and coordinating center for the National Institutes of Health's Complement-Animal Research…
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