Can Broad Biomedical Knowledge be Contextualized into Scenario-Grounded Propositions?
The article discusses a new framework called SCENE that aims to contextualize broad biomedical knowledge into specific, scenario-grounded propositions. This framework operates on two levels, converting general knowledge into actionable search directions and optimizing them to identify concrete propositions. The results demonstrate that SCENE effectively bridges the gap between broad knowledge and specific evidence, enhancing the discovery of patient subgroups and biological responses.
- ▪SCENE is a bi-level multi-agent framework designed for knowledge contextualization in biomedical research.
- ▪The upper level of SCENE converts broad knowledge into search directions, while the lower level optimizes these directions to find concrete propositions.
- ▪In clinical trials, SCENE outperforms existing methods by discovering specific patient subgroups with heterogeneous treatment benefits.
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Computer Science > Artificial Intelligence arXiv:2605.27082 (cs) [Submitted on 26 May 2026] Title:Can Broad Biomedical Knowledge be Contextualized into Scenario-Grounded Propositions? Authors:Qingyuan Zeng, Ziyang Chen, Pengxiang Cai, Zixin Guan, Anglin Liu, Lang Qin, Xinyao Lai, Jintai Chen View a PDF of the paper titled Can Broad Biomedical Knowledge be Contextualized into Scenario-Grounded Propositions?, by Qingyuan Zeng and 7 other authors View PDF HTML (experimental) Abstract:Biomedical discovery often requires connecting broad biomedical knowledge with specific experimental or clinical data.
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