# Faith Ogundimu

- **Event:** [Built with Claude: Life Sciences](https://cerebralvalley.ai/e/built-with-claude-life-sciences)
- **When:** Jul 7 at 12:00 PM – Jul 14 at 12:00 AM (EDT)
- **Where:** Online
- **Placement:** Finalist
- **Team:** [Faith Ogundimu](https://cerebralvalley.ai/u/faith-ogun)
- **GitHub:** https://github.com/faith-ogun/ncypher
- **Demo video:** https://youtu.be/0EQfVwYXFG8
- **Gallery:** https://cerebralvalley.ai/e/built-with-claude-life-sciences/hackathon/gallery
- **Page:** https://cerebralvalley.ai/e/built-with-claude-life-sciences/hackathon/gallery/74

Diffuse midline glioma is a paediatric brainstem cancer that is almost uniformly fatal: about ninety percent of children die within two years, and the first systemic drug, approved in 2025, does not cure. Its biology is largely non-coding, which is exactly where variant prediction is least trustworthy.

NCypher is a triage layer, not another predictor. In the matched fetal-OPC cell context it couples a regulatory-activity score, the mechanism (the motif and the exact base that breaks), and an honest confidence flag into one agent call, promoting a variant only when independent lines of evidence agree.

Across 10,869 somatic non-coding variants from an H3 K27M cohort it returns a two-sided finding, not a manufactured driver: somatic mutation does not drive the super-enhancers this tumour depends on, yet those enhancers sit on markedly more conserved OPC regulatory sequence (matched-permutation p<0.001), with NPAS3 leading the shortlist.

The engine is validated where it should work (progenitor caQTLs, AUROC 0.69) and honest where it should not. Six independent stress tests, each re-derived by a separate reviewer agent, harden it. NCypher ships as a rich MCP tool, an Agent Skill with a built-in sceptic, a reproducibility gate, and a downloadable regulatory map.

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Markdown version of https://cerebralvalley.ai/e/built-with-claude-life-sciences/hackathon/gallery/74. Site index for agents: https://cerebralvalley.ai/llms.txt · full text: https://cerebralvalley.ai/llms-full.txt
