BioDiscoveryAgent is an AI system that leverages large language models to accelerate genetic research by autonomously designing perturbation experiments.

• Efficiently navigates hypothesis space to identify optimal genetic modifications
• Designs experiments, predicts outcomes, and iteratively refines its approach
• Reduces time and resources needed to discover key genetic factors affecting phenotypes
• Demonstrates how AI agents can serve as collaborative partners in biological research

This innovation represents a significant advancement for precision medicine and drug discovery by enabling faster identification of genetic targets and reducing experimental costs.

BioDiscoveryAgent: An AI Agent for Designing Genetic Perturbation Experiments