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Built with Claude: Life SciencesAitiome grades whether an environmental chemical has mechanistically-supported links to Parkinson's or Alzheimer's. Give it a chemical and it reconstructs the OECD-endorsed causal pathway (MIE→KE→AO), grounds each edge in queryable evidence, and grades it on curated evidence — never bioactivity, with calibrated confidence. On a curated adversarial benchmark it recovers 13/13 PD and 12/12 AD known neurotoxicants and rejects 6/6 mitochondria-active decoys with zero errors. The key finding, computed live from our own data: bioactivity is anti-diagnostic — every activity signal separating real neurotoxicants from decoys is at or below chance, while the curated rule is perfect. It ships the discovery limits as an honest map, adds a wet-lab candidate-triage queue, and exposes the whole engine over MCP for agents. It also includes a methods study: adversarial RLM surfaced ~10× more counter-evidence than RAG.
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