# AIstanbul Research Group

- **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:** [Ozge Cavus](https://cerebralvalley.ai/u/Ozge)
- **GitHub:** https://github.com/aistanbulresearch/vus-lens
- **Demo video:** https://youtu.be/p3A7NLVYrkY
- **Gallery:** https://cerebralvalley.ai/e/built-with-claude-life-sciences/hackathon/gallery
- **Page:** https://cerebralvalley.ai/e/built-with-claude-life-sciences/hackathon/gallery/178

Clinical geneticists interpreting a patient's DNA constantly hit "Variants of Uncertain Significance" (VUS): changes where the evidence isn't enough to call them safe or harmful. Existing tools aggregate that evidence and score it, but none ask the question that matters most: can this evidence be trusted for this specific patient?

vus-lens does. For any variant, it gathers public evidence, maps it to the ACMG rules deterministically, then audits its own confidence, flagging exactly where the evidence is unreliable, especially for Turkish and Middle Eastern patients who are barely represented in the reference databases medicine relies on. A language model reads all the evidence and reasons about it live, but a deterministic engine sets the classification: the AI interprets, it never decides.

We also measured its safety: across 1,277 known-pathogenic variants, it never once returned a benign call, while its benign logic provably fires on known-benign variants. It never gives false reassurance.

Built from scratch this week with Claude Code. Open-source. Live at vuslens.aistanbulresearch.com/live.

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