About Zebra Scout

⚠️ Reminder: Zebra Scout is a research and educational tool. It does not provide medical diagnoses. Always consult a qualified healthcare provider.

Why this exists

In 2023, a mother named Alex used ChatGPT to identify her son's condition β€” tethered cord syndrome β€” after 17 doctors over 3 years had failed to connect the dots. She didn't use AI to replace her doctors. She used it to ask better questions.

This is the diagnostic odyssey. On average, rare disease patients see 7.3 physicians over 4.8 years before getting a correct diagnosis. For some, it takes decades.

Zebra Scout exists because no parent should have to become a medical detective β€” but until the healthcare system catches up, tools that help people ask better questions can save years of suffering.

How it works

Zebra Scout uses a curated database of ~60 rare conditions and their associated symptoms, mapped to the Human Phenotype Ontology (HPO) β€” the standard medical vocabulary for describing clinical features.

When you enter symptoms, the tool:

  1. Maps your selected symptoms to HPO terms
  2. Compares them against the symptom profiles of known rare conditions
  3. Scores each condition using a weighted similarity algorithm (combining Jaccard similarity with condition coverage)
  4. Returns a ranked list of possible matches

All computation happens in your browser. No data is sent to any server. No accounts needed.

What this is NOT

The data

Conditions and symptom mappings are curated from public sources including Orphanet, OMIM, and the HPO. This is a prototype β€” a production version would integrate these databases directly via their APIs.

Why β€œZebra”?

There's a saying in medicine: β€œWhen you hear hoofbeats, think horses, not zebras.” It teaches doctors to consider common diagnoses first. But for rare disease patients, the answer really is the zebra β€” and that saying can become a barrier to diagnosis. The zebra stripe ribbon has become the symbol of the rare disease community.

Open source

Zebra Scout is part of the willworth monorepo. The data and matching algorithm are open source β€” contributions welcome.

Further reading