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ARPA-H Intelligent Generator of Research (IGoR) for AI-Driven Autonomous Biomedical Discovery is sponsored by Advanced Research Projects Agency for Health (ARPA-H). The Intelligent Generator of Research (IGoR) program from ARPA-H aims to accelerate biomedical discovery by creating an integrated research ecosystem that validates research at least ten times faster than traditional approaches.
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Intelligent Generator of Research What if we could make biomedical research faster and more rigorous? The human body is incredibly complex. Some of the most devastating illnesses people experience—from neurodegenerative to chronic autoimmune conditions—involve intricate interactions among different body systems, molecules, genes, and external factors.
Meaningful advances require a multifaceted, systematic approach flexible and wide-ranging enough to mirror the complexity of nature. Yet, most biomedical research takes place across fragmented laboratories and disciplines. Iterative research is limited by what expertise and equipment a scientist can access, which conferences they have attended, and what collaborators they happen to meet.
As a result, impactful data are often buried in scientific literature, and insights travel slowly from one scientific field to the next. With valuable observations trapped in silos, cures take decades to surface. This poor coordination also erodes trust in science when a significant portion of experimental results cannot be verified by other scientists.
Our centuries-old approach to biomedical discovery means many key scientific connections are still left up to chance. And while we hope for the right information and capabilities to reach the right researchers, patients wait decades for breakthroughs for complex diseases, and inefficiencies in the research process waste valuable resources.
ARPA-H's Intelligent Generator of Research (IGoR) program aims to empower scientists to eliminate these long-standing inefficiencies and accelerate biomedical breakthroughs through a more nimble, reliable, and interoperable research ecosystem for the 21-st century. Today, most researchers only have the resources to hunt for breakthroughs in the well-lit corners of science.
IGoR allows them to illuminate darker, more complex areas with AI-guided experiments and an agile research marketplace. The program aims to create a robust ecosystem that uses a systematic approach to generate hypotheses, design and conduct experiments, and refine models of biological systems to validate valuable biological knowledge at least ten times faster than traditional research approaches.
IGoR will accomplish this by tasking research teams to create: advanced, mechanistic disease models; an AI-enabled system that identifies knowledge gaps and designs optimal experiments based on these models; a standardized protocol architecture that allows scientists to perform these experiments reproducibly; and a marketplace of qualified laboratories that execute these protocols and return gold-standard data to continuously improve the original models.
Through IGoR, breakthrough insights will no longer be delayed because a creative research team cannot access specific expertise or equipment. This powerful resource will support scientists as they pursue valuable research directions once thought to be too complex or too expensive. IGoR will upgrade biomedical research from a slow, iterative endeavor to a sophisticated, efficient system built for 21-st century science.
Reimagine the biomedical research infrastructure as larger than the sum of what individual universities, companies, or institutes can achieve. Create incentives for teams to build and test rigorous, AI-enabled research ecosystems designed to accelerate therapeutic discovery for complex diseases.
Convene and align academia, industry, and government around shared standards for interoperable, AI-enabled protocols and reusable, verifiable data. Assemble diverse performers to build a first-of-its-kind, continuously learning biomedical research ecosystem—linking mechanistic models, AI-driven experiment design, and rapid experimental execution.
What ARPA-H needs to solve this problem IGoR seeks teams with expertise in computational biology and mechanistic modeling, AI/ML orchestration and agentic systems, laboratory automation and robotics, experimental protocol standardization, distributed systems architecture, and human-centered interface design.
Teams should include capabilities spanning disease biology, data engineering, and validated wet-lab experimentation across multiple modalities. Teams may include academic institutions, non-profit organizations, companies, or a combination of highly skilled performers across sectors.
The program has four technical areas for which performers must 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.
Notice ID: ARPA-H-SOL-26-155 ARPA-H invites interested parties to review the solicitation, which is posted and maintained on SAM. gov. The solicitation outlines the opportunity and its requirements, key dates and deadlines, submission documents and templates, evaluation criteria for submissions, and information on how to apply. Solution Summary Due: June 25, 2026, 12:00PM ET A summary is required to submit a full proposal.
Full Proposal Due: August 13, 2026, 12:00PM ET After submission of a solution summary, proposers will either be encouraged or discouraged from submission of a full proposal. It is strongly recommended that only proposers who are encouraged to submit a full proposal do so. Reminder: Dates are estimates and subject to change.
Please reference the solicitation for the most up-to-date information. Ready to apply? To submit a Solution Summary, sign-in to the ARPA-H Solutions Portal .
Please note: Because of the anticipated significant interest in the IGoR program, IGoR is piloting secure large language model (LLM) tools to assist with the initial review of Solution Summaries. Read the full statement to learn more . Frequently Asked Questions Review responses to common questions about this funding opportunity asked by others in the proposer community.
You can also ask a question. Review FAQs and Ask A Question This is an optional event for the proposer community to learn more about this opportunity, ask questions, and make connections. This event is not intended for patients, patient advocates, or general interest audiences.
View the Proposers' Day recording. View the Lightning Talk presentations. ARPA-H anticipates that teaming will be necessary to achieve the goals of this program.
Prospective performers are encouraged to form teams with varied technical expertise to submit a research proposal. To facilitate this process, we have created a teaming page where proposers can share their profiles and learn more about other interested parties. ARPA-H launches new program to deliver rigorous, gold-standard research faster
According to the current listing, eligibility includes: Academic institutions, non-profit organizations, companies, or combinations of performers across sectors with expertise in computational biology, AI/ML, laboratory automation, and experimental validation. Confirm the full requirements in the official notice before applying.
The current listing shows ARPA-H program award (Notice ARPA-H-SOL-26-155); dollar amounts are not specified in the solicitation. ARPA-H performer awards typically range from several million to tens of millions of dollars. Estimated $5,000,000 to $50,000,000 across performers. Verify award ceilings, matching requirements, and allowable costs in the official notice.
The published deadline was August 6, 2026, which has passed. Check the official notice for any future application windows before investing time in a proposal.
ARPA-H Intelligent Generator of Research (IGoR) for AI-Driven Autonomous Biomedical Discovery is funded by Advanced Research Projects Agency for Health (ARPA-H). Verify program details on the funder's official page before applying.
Start from the official opportunity page linked in this listing — it carries the sponsor's submission instructions.
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