2026-07-06 スタンフォード大学
＜関連情報＞
- https://news.stanford.edu/stories/2026/07/biomni-ai-powered-biomedical-co-scientist
- https://www.science.org/doi/10.1126/science.adz4351
人工知能エージェントを用いた自律的な生物医学研究 Autonomous biomedical research with an artificial intelligence agent
Kexin Huang, Serena Zhang, Hanchen Wang, Yuanhao Qu, […] , and Jure Leskovec
Science Published:9 Jul 2026
DOI:https://doi.org/10.1126/science.adz4351
Abstract
Biomedical research is increasingly constrained by repetitive, fragmented workflows that slow discovery. We introduce Biomni, a general-purpose biomedical artificial intelligence agent that autonomously executes diverse research tasks. To map the biomedical action space, Biomni’s action-discovery agent mines tools, databases, and protocols from thousands of publications across 25 domains, building a unified agentic environment. Its general-purpose architecture integrates large language model reasoning with retrieval-augmented planning and code-based execution, dynamically composing workflows without predefined templates. Systematic benchmarking shows strong generalization across heterogeneous tasks—causal gene prioritization, drug repurposing, rare-disease diagnosis, microbiome analysis, and molecular cloning—without task-specific tuning. Real-world case studies demonstrate Biomni interpreting multi-modal datasets, optimizing protein stability, orchestrating wet-lab instruments, and generating experimentally testable protocols. Biomni envisions artificial intelligence augmenting human scientists and accelerating discovery.
