NIH researchers develop AI agent that improves accuracy of gene set analysis by leveraging expert-curated databases
Researchers at the National Institutes of Health (NIH) have developed an artificial intelligence (AI) agent powered by a large language model (LLM) that creates more accurate and informative descriptions of biological processes and their functions in gene set analysis than current systems.
The system, called GeneAgent, cross-checks its own initial predictions — also known as claims — for accuracy against information from established, expert-curated databases and returns a verification report detailing its successes and failures. The AI agent can help researchers interpret high-throughput molecular data and identify relevant biological pathways or functional modules, which can lead to a better understanding of how different diseases and conditions affect groups of genes individually and together.
This page was last updated on Monday, July 28, 2025