# OncologyOS

- **Event:** [Claude Build Day](https://cerebralvalley.ai/e/claude-startups-build-day)
- **When:** Sat, Jun 13 at 9:00 AM – 10:00 PM (PDT)
- **Where:** San Francisco, CA
- **Team:** [John Hwang](https://cerebralvalley.ai/u/nextword)
- **GitHub:** https://github.com/NextWordDev/oncologyos
- **Website:** https://web-weld-nine-25.vercel.app/
- **Demo video:** https://youtu.be/soN5bx1DABQ
- **Gallery:** https://cerebralvalley.ai/e/claude-startups-build-day/hackathon/gallery
- **Page:** https://cerebralvalley.ai/e/claude-startups-build-day/hackathon/gallery/121

OncologyOS helps cancer patients find the right clinical trials, using just their discharge documents

The problem. Every year roughly 2 million Americans (and ~20 million people worldwide) are diagnosed with cancer, and almost overnight each one is handed a life-or-death information problem they're not equipped to solve. The relevant knowledge is real but scattered and
unreadable: ~19,000 cancer clinical trials are actively recruiting in the U.S. alone, alongside thousands of approved drugs, off-label  and repurposing options, and dense genomic and pathology reports — yet fewer than 1 in 20 adult cancer patients ever enrolls in a trial,  and the most common reason isn't ineligibility, it's that neither the patient nor their busy oncologist ever finds the right one.  Matching a single patient to the right options means cross-referencing their diagnosis, stage, biomarkers, prior therapies, and comorbidities against eligibility fine print written for specialists — work that is slow, expensive, and largely manual, so it mostly  doesn't happen. The result is a brutal asymmetry: the options that could extend or save a life often exist, but the patient never learns they're there.

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