Agentic AI-enabled discovery across large-scale sleep physiology
3.60T1 sourcearXiv cs.MA
Source record
Published by arXiv cs.MA (T1 source). The original is at https://arxiv.org/abs/2607.25175.
Pipeline notes
The summary and note below are generated by the signal pipeline — they are Beyond Desk’s reading, not quotations from the source.
SummaryPaper presents AI Sleep Co-Scientist, an expert-guided environment where human scientists direct specialist agents for hypothesis development, signal preprocessing, and statistical analysis. Applied to ~124,000 polysomnography recordings, it produced five case studies linking sleep physiology to disease risk, clinical phenotypes, and sleep regulation, with each result linked to its executable code.
Why it mattersConcrete, large-scale demonstration of human-directed multi-agent orchestration with code-linked outputs, a pattern transferrable to other expert-driven research domains.
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