AI-assisted screening Multi-cancer matching Patient-centered experience

Helping patients find relevant clinical trials with clarity and compassion.

TrialMatch AI helps turn patient details into structured trial screening results, highlighting likely matches, uncertainty, and missing information in a way that is easier to understand for both patients and researchers.

Why this matters

Patients often face confusing eligibility criteria, fragmented trial information, and too many irrelevant results. TrialMatch AI is designed to reduce that friction by surfacing what is most actionable first.

10 cancer categories supported in this prototype

3 result tiers for clearer decision support

1 guided screening experience

0 unnecessary noise in filtered output

For Patients

Understand trial possibilities faster without digging through overwhelming databases alone.

For Researchers

Reduce manual screening friction by organizing patient fit, uncertainty, and missing details.

For Better Conversations

Create more informed discussions between patients, providers, and trial coordinators.

Patient Intake

Enter patient information below to simulate how TrialMatch AI evaluates eligibility against structured clinical trial criteria.

Age

Sex

Condition

Stage

Location

Biomarkers

Prior Treatments

Question

This prototype uses a structured demo trial dataset to demonstrate the matching workflow.

Screening Results

Actionable, filtered, and easier to interpret.

Start a screening to view likely matches, possible matches, missing information, and a next-step recommendation.