Readable public data
ClinicalTrials.gov listings are public, but they are rarely written for patients. We translate the structure into plain-language summaries, practical filters, and screening questions.
About PatientMatch
Clinical trial search should feel clear, private, and human.
PatientMatch helps people find active clinical trials, answer patient-friendly screening questions, and prepare for a more focused conversation with their doctor or a study team.
Mission
Turn registry data into a better patient decision.
We focus on the practical gap between finding a listing and knowing what to ask next.
Make trial discovery usable before someone shares contact information.
Show why a study may or may not fit in language patients can discuss with a clinician.
Point back to official listings instead of hiding the source of truth.
Principles
Built for trust before conversion.
Private by default
You can browse and pre-screen without giving us your name, email, or phone number. We do not sell leads or send patient details to trial sites.
Pre-screening, not medical advice
PatientMatch can flag likely fits and obvious blockers. Final eligibility still depends on records, labs, imaging, and site review.
Founder
Independent, practical, and privacy-first.
PatientMatch is being built independently by Pablo Ramos Ferrer.
The work is focused on patient utility: fewer opaque listings, less lead generation, and clearer next steps.
The product stays intentionally narrow: explain public information, support private pre-screening, and help people prepare better questions.