http://english.cas.cn/newsroom/research-news/202606/t20260624_1174789.shtml
https://www.nature.com/articles/s41551-026-01634-6
The CAS Institute of Computing Technology (ICT) has developed BioMedAgent, an “AI Data Scientist” framework with self-evolving capabilities. It integrates large language models (LLMs) with multi-agent technology and marks a significant breakthrough in autonomous biomedical scientific data analysis.
BioMedAgent uses diverse bioinformatics tools and chains them into executable workflows via interactive exploration and memory retrieval algorithms. Crucially, it allows biomedical users to initiate tasks using natural language, eliminating the need for computational expertise.
When put to the test on the newly released BioMed-AQA benchmark—which comprises 327 biomedical data tasks—BioMedAgent achieved a 77% success rate, outperforming other LLM agents. It also demonstrated robust generalization to the external BixBench dataset. Going beyondbenchmarks, the framework autonomously performs cross-omics analysis, machine-learning modelling, and pathology image segmentation, showcasing substantial real-world utility.
