Every matching tool requires hospital data. Nothing exists for patients directly.
AI-powered trial matching already exists — tools like Deep 6 AI and Tempus do it for hospitals by reading electronic health records. But patients and caregivers have no equivalent. The only free option is ClinicalTrials.gov, which is written in medical jargon and offers search, not matching.
A worried parent searching for trials for their child shouldn't need a medical degree to understand eligibility criteria. They need someone to read it for them and say: "Your child might qualify for this, and here's why."
Describe the condition. Get matched trials. In plain English.
CliniBridge turns a conversation into a shortlist. You don't need a formal diagnosis. You don't need to understand medical terminology. You describe what's happening, and the AI does the rest.
AI that reads eligibility criteria so you don't have to.
This isn't a search engine with a chatbot on top. The AI does five distinct jobs: it understands casual language, expands your words into medical terminology, scores each trial against your specific profile, rewrites everything in language a non-medical person can actually understand, and breaks down each trial's full eligibility criteria into a personalised checklist.
That last part matters most. Eligibility criteria are written for doctors — dense, jargon-heavy, sometimes pages long. CliniBridge reads every line, checks it against your profile, and tells you what's likely met, what needs clarification, and exactly what to ask when you contact the research team.
The matching that takes a research coordinator an hour per patient happens in under a minute.
Where CliniBridge goes from here.
This is a working prototype — built to prove the concept. Here's what a full version would look like.