Empowering AI data scientists using a multi-agent LLM framework with self-evolving capabilities for autonomous, tool-aware biomedical data analyses
- DOI
- 10.1038/s41551-026-01634-6
- Published
- 2026-03-30
- Container
- Nature Biomedical Engineering
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1038/s41551-026-01634-6,
title = {Empowering AI data scientists using a multi-agent LLM framework with self-evolving capabilities for autonomous, tool-aware biomedical data analyses},
author = {Dechao Bu and Jingbo Sun and Kun Li and Zihao He and Wei Huang and Jinlin Hu and Shanshan Zhang and Shuangshuang Lei and Peipei Huo and Zhihao Wang and Sheng Wang and Tao Wang and Kai Gao and Yang Wu and Lianhe Zhao and Kai Wang and Gen Li and Huan Song and Yang Jin and Kang Zhang and Runsheng Chen and Yi Zhao},
year = {2026},
journal = {Nature Biomedical Engineering},
doi = {10.1038/s41551-026-01634-6},
url = {https://doi.org/10.1038/s41551-026-01634-6}
}RIS
TY - JOUR TI - Empowering AI data scientists using a multi-agent LLM framework with self-evolving capabilities for autonomous, tool-aware biomedical data analyses AU - Dechao Bu AU - Jingbo Sun AU - Kun Li AU - Zihao He AU - Wei Huang AU - Jinlin Hu AU - Shanshan Zhang AU - Shuangshuang Lei AU - Peipei Huo AU - Zhihao Wang AU - Sheng Wang AU - Tao Wang AU - Kai Gao AU - Yang Wu AU - Lianhe Zhao AU - Kai Wang AU - Gen Li AU - Huan Song AU - Yang Jin AU - Kang Zhang AU - Runsheng Chen AU - Yi Zhao PY - 2026 JO - Nature Biomedical Engineering DO - 10.1038/s41551-026-01634-6 UR - https://doi.org/10.1038/s41551-026-01634-6 ER -
APA
Bu, D., Sun, J., Li, K., He, Z., Huang, W., Hu, J., Zhang, S., Lei, S., Huo, P., Wang, Z., Wang, S., Wang, T., Gao, K., Wu, Y., Zhao, L., Wang, K., Li, G., Song, H., Jin, Y., Zhang, K., Chen, R., & Zhao, Y. (2026). Empowering AI data scientists using a multi-agent LLM framework with self-evolving capabilities for autonomous, tool-aware biomedical data analyses. Nature Biomedical Engineering. https://doi.org/10.1038/s41551-026-01634-6
Source records
- crossref · retrieved 2026-09-26T15:55:03.652Z