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Article

Autonomous computational prioritisation of colorectal cancer vulnerabilities via multi-scale AI swarms

2026-07-06

Abstract excerpt

The acceleration of automated scientific discovery has been fundamentally bottlenecked by the epistemic gap between the semantic reasoning of large language models (LLMs) and the complex, non-linear reality of mammalian biology. While recent multi-agent frameworks have achieved autonomous hypothesis generation and in vitro experimental analysis, they frequently lack the rigorous statistical constraints required f...

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Identifiers and source

Literature Corpus work
fe5a2a3e-822d-5caa-89d5-df9bb3eda347
DOI
10.64898/2026.07.05.736565
Open publication

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Semantic proximity does not establish scientific evidence.

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Autonomous computational prioritisation of colorectal cancer vulnerabilities via multi-scale AI swarmsDOI 10.64898/2026.07.05.736565
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