# PORTRAIT

- **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:** [Daniela Oehring](https://cerebralvalley.ai/u/danielaoehring)
- **GitHub:** https://github.com/doehring-gh/PORTRAIT.git
- **Demo video:** https://youtu.be/xbHdHCdteXA
- **Gallery:** https://cerebralvalley.ai/e/built-with-claude-life-sciences/hackathon/gallery
- **Page:** https://cerebralvalley.ai/e/built-with-claude-life-sciences/hackathon/gallery/102

PORTRAIT turns population health data into a per-patient passport - calibrated position, honest uncertainty, and what genuinely stands out - and refuses when the data cannot support a description. Built and validated during the event on public NHANES.

The describability-and-calibration gate holds per-slice coverage in [0.85–0.95] across all six age×sex groups on 2,247 held-out adults from unseen survey years, where a conventional split under-covers every group and abstention halves. A pre-registered confirmatory test found profile coherence adds mortality signal beyond twelve markers plus age and sex (ΔC≈+0.005, permutation p<0.001, survives frailty adjustment) - small, real, and against our stated null.

Eight phase-gated sessions; every hypothesis git-tagged before running; every reported number traced to a manifest; a leakage guard separating an eligible target (AUC 0.48) from covert self-prediction (0.998). The interface is grounded in a 73-requirement specification drawn from UX systematic reviews and device standards (IEC 62366, WCAG 2.2 AA).

What it means. A description tool that states its precondition and abstains when unmet is safer than one that always answers. PORTRAIT ships that behaviour with the negative results that earned it.

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Markdown version of https://cerebralvalley.ai/e/built-with-claude-life-sciences/hackathon/gallery/102. Site index for agents: https://cerebralvalley.ai/llms.txt · full text: https://cerebralvalley.ai/llms-full.txt