# Cell Dna

- **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
- **Team:** [Cell Dna](https://cerebralvalley.ai/u/CellDna)
- **GitHub:** https://github.com/kunalkaiser/evidence-engine
- **Demo video:** https://youtu.be/GQVpuAzDA1Y
- **Gallery:** https://cerebralvalley.ai/e/built-with-claude-life-sciences/hackathon/gallery
- **Page:** https://cerebralvalley.ai/e/built-with-claude-life-sciences/hackathon/gallery/261

Evidence Engine is a mechanism-aware oncology evidence platform that answers the recurring BD/commercial question — "which indication should we pursue for this asset?" — in minutes instead of weeks, with every number traceable to a named primary source.

Enter a drug target and it scores candidate indications on population burden (biomarker-addressable, not just disease-level), competitive density, evidence maturity, and target support — synthesized from WHO GHO, ClinicalTrials.gov, PubMed, and a provenance-stamped knowledge graph. Five modes span the workflow: Opportunity Assessment (BD prioritization), Clinical Evidence (patient/trial matching with per-criterion eligibility reasoning), CellCheck (cell-line authentication via Cellosaurus + CLASTR STR matching), Mosaic (drug-target graph), and TME (tumor-microenvironment histomics).

The differentiator is an enforced epistemic contract: three-state verdicts (MET / NOT MET / NOT EVALUABLE), everything labeled CANDIDATE ONLY, and the LLM strictly downstream of deterministic data — the system physically cannot cite a source the retrieval lanes didn't produce. The MSI prediction model was trained and validated in Claude Science (AUC 0.929, cross-validated) with the circular MSI assay column deliberately excluded to keep predictions non-circular, then deployed into the product with its full reproducibility package attached as provenance.

Why it matters: high-stakes oncology BD and clinical decisions are made on evidence that's slow to assemble and impossible to audit. This makes the answer fast AND auditable — trust you can check, not trust me.

---

Markdown version of https://cerebralvalley.ai/e/built-with-claude-life-sciences/hackathon/gallery/261. Site index for agents: https://cerebralvalley.ai/llms.txt · full text: https://cerebralvalley.ai/llms-full.txt