# TrialProof

- **Event:** [The Future of Agentic AI in Healthcare - Abridge x Anthropic x Lightspeed](https://cerebralvalley.ai/e/abridge-hackathon)
- **When:** Sat, Jul 18 at 9:00 AM – 10:00 PM (PDT)
- **Where:** San Francisco, CA
- **Team:** [Kushal Naik](https://cerebralvalley.ai/u/drkushalnaik)
- **GitHub:** https://trial-proof--drkushalnaik.replit.app
- **Demo video:** https://youtu.be/04ovt6WzuLM
- **Gallery:** https://cerebralvalley.ai/e/abridge-hackathon/hackathon/gallery
- **Page:** https://cerebralvalley.ai/e/abridge-hackathon/hackathon/gallery/73

TrialProof is a human-supervised evidence-integrity auditor for clinical-trial pre-screening. Built with synthetic data, it uses Claude to extract exact chart evidence, then applies deterministic TypeScript rules to check protocol windows, thresholds, missingness, and semantic mismatch. The prototype flags unresolved criteria as Needs Data or Human Review, assigns next actions, and lets a coordinator add new evidence so only the affected criterion is reassessed with an audit trail. It does not determine final eligibility or enroll patients; it helps prevent incomplete evidence from becoming false certainty.

---

Markdown version of https://cerebralvalley.ai/e/abridge-hackathon/hackathon/gallery/73. Site index for agents: https://cerebralvalley.ai/llms.txt · full text: https://cerebralvalley.ai/llms-full.txt