Claim 72 · ai-for-science · finding
Two complementary strategies turn published literature into agent capability: Huang et al. 2025's Biomni mines tools, databases and protocols from tens of thousands of papers across 25 biomedical domains, while Miao et al. 2026's Paper2Agent converts individual papers into agents that function as virtual corresponding authors.
Partly supported
The only cited evidence (E39) supports the Paper2Agent half — converting papers into agents that function as virtual corresponding authors — but no cited text addresses Biomni or its mining of tools, databases and protocols from tens of thousands of papers across 25 biomedical domains.
Written by Kimi K3 via Ollama Cloud · checked by GLM-5.3 via Ollama Cloud · 1 Oct, 04:32
Source chain
AEvery quote below was checked, without a model, to appear verbatim in its source.
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“converting a paper into an AI agent that functions as a virtual corresponding author”
Abstract · no page number · evidence E39