ARPA-H's IGoR program aims to eliminate inefficiencies in research by creating an AI-enabled interoperable ecosystem to accelerate the development of effective therapies for complex diseases. The program will develop mechanistic disease models, an AI orchestration layer, a layered protocol architecture, and a distributed marketplace of validated laboratories to enable rapid hypothesis generation, experimentation, and model refinement. This cycle aims to produce validated knowledge at least 10 times faster than conventional approaches and empower researchers to pursue bold, unconventional directions. A hybrid Proposers Day is planned for early June in the Washington, D.C. metro area. No budget amounts are specified in the description.

The ARPA-H Intelligent Generator of Research (IGoR) program aims to accelerate development of therapies for complex diseases by creating an AI-enabled research ecosystem. It will develop mechanistic disease models, an AI orchestration layer, a layered protocol architecture, and a distributed marketplace of validated laboratories. The goal is to enable researchers to create validated knowledge at least 10 times faster than conventional approaches. A hybrid Proposers Day is planned for early June in the Washington, D.C. metro area. No budget amounts or performance location are specified.

The ARPA-H Intelligent Generator of Research (IGoR) program aims to create an AI-enabled research ecosystem to accelerate development of therapies for complex diseases. It will develop mechanistic disease models, an AI orchestration layer, a layered protocol architecture, and a distributed marketplace of validated laboratories. The program seeks to enable researchers to generate validated knowledge at least 10 times faster than conventional approaches. A hybrid Proposers Day is planned for early June in the Washington, D.C. metro area. No budget amounts or submission timelines are specified.

ARPA-H is hosting a hybrid Proposers Day in early June in the Washington, D.C. metro area. The Intelligent Generator of Research (IGoR) program aims to accelerate therapy development by creating an AI-enabled research ecosystem. It will develop mechanistic disease models, an AI orchestration layer, a standardized protocol architecture, and a distributed marketplace of validated laboratories. These components aim to enable researchers to generate validated knowledge at least 10 times faster than current methods. The program seeks to empower researchers to pursue bold, unconventional research directions that are currently too slow or resource-intensive.