SAM #ARPA-H-SOL-26-155

ARPA-H Solicitation: AI-Enabled Research Ecosystem for Complex Disease (IGoR Program)

ARPA-H, part of the National Institutes of Health under the Department of Health and Human Services, is seeking innovative solutions for the Intelligent Generator of Research (IGoR) program to transform complex disease research. - Government Buyer: - Advanced Research Projects Agency for Health (ARPA-H), Department of Health and Human Services - Program Overview: - IGoR aims to build an AI-enabled, interoperable research ecosystem to accelerate therapy development for multifactorial diseases - Focuses on four main components: - Mechanistic disease models - AI orchestration layer for experiment design - Layered protocol architecture for reproducible experiments - Distributed marketplace/network of validated laboratories - Products/Services Requested: - Comprehensive development and integration of software, protocols, and experimental workflows - No specific hardware, part numbers, or product quantities specified - Unique Requirements: - System must enable researchers to generate validated knowledge at least ten times faster than current methods - Emphasis on reproducibility, interoperability, and cross-laboratory collaboration - Solutions should support bold, unconventional research directions - Period of Performance: - 5 years, divided into three phases: concept/component development, integration/interoperability, and scaling/transition - No specific OEMs or vendors are named in the solicitation

Description

ARPA-H intends to host a hybrid Proposers Day in early June in the Washington, D.C. metro area. Additional information will be posted when it becomes availiable.

The Intelligent Generator of Research (IGoR) program aims to eliminate longstanding inefficiencies in research and accelerate the development of effective therapies for complex diseases by creating an AI-enabled interoperable research ecosystem. IGoR would develop: 1) mechanistic disease models that encode causal biological relationships across scales, 2) an AI orchestration layer that identifies knowledge gaps and designs optimal experiments, 3) a layered protocol architecture that enables any qualified laboratory to execute the same experiment reproducibly, and 4) a distributed marketplace of validated laboratories that execute standardized protocols and return gold-standard data. Together, these components form a cycle of hypothesis generation, experimentation, and model refinement that enables researchers to create validated knowledge at least 10x more rapidly than conventional approaches. Ultimately, IGoR will empower researchers at every level to pursue bold, unconventional research directions that are currently too slow, too complex, or too resource‑intensive. Additional Links:IGoR Program Website

View original listing