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NIH grant 1C06OD042705-01: Biomedical Research Facility for the Translational Hub for Research, Innovation, Validation, and Excellence (THRIVE)
Institute: {'code': 'OD', 'abbreviation': 'OD', 'name': 'NIH Office of the Director', 'admin_org_id': '12500055', 'admin_funding_url': ''}. PI: Harry Ledebur. Award: $8000000.
Start: 2026-09-18T00:00:00.
Project Summary/Abstract
The Translational Hub for Research, Innovation, Validation, and Excellence (THRIVE) will establish a
purpose-built, shared-use research facility designed to support basic and translational research through broader
access to New Approach Methodologies (NAMs). As a purpose-built facility, THRIVE will address NIH mission
priorities in human-relevant disease biology and translational research by providing investigators with access to
emerging and validated human-relevant model systems together with established workflows, integrated scientific
and technical expertise, pathology and downstream analytical capabilities, and shared data resources within a
single integrated operating environment. By bringing these capabilities together, THRIVE will enable
investigators to select, compare, refine, and apply human-relevant systems more rigorously, generate data that
are more reproducible and interpretable, and use advanced models within a coordinated shared-use
environment that broadens access to capabilities not typically available within a single laboratory. THRIVE will
launch into an environment of significant interest from NIH-funded investigators, with established access
pathways through UAB’s Institutional Research Core Program and the multi-institutional Center for Clinical and
Translational Science network.
THRIVE will also address a broader infrastructure need in biomedical research by providing the shared-
use environment needed to evaluate, benchmark, standardize, and validate NAMs and NAM platforms for wider
research use. In addition to expanding access to NAMs, THRIVE will generate, curate, and provide open access
to historical control data, comparator datasets, and structured metadata needed to support more consistent
interpretation across studies and to strengthen validation, benchmarking, and fit-for-purpose application of
NAMs. These shared data resources will also provide a foundation for development of AI and in silico tools for
predictive biology by THRIVE and NIH researchers. By integrating shared infrastructure, comparative datasets,
standardized workflows, and scientific expertise, THRIVE will strengthen the quality and translational relevance
of NIH-supported research, advance more predictive approaches to disease biology and therapeutic response,
and support safer and more effective approaches to prevention, diagnosis, and treatment of disease.document fetched 2026-09-27 02:45