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AI-Powered Clinical Trial Matching

CLINICALTrial Matching

From Notes to Match, in Minutes

Upload documents, dictate notes, or type directly. Our AI extracts patient data, screens trials, asks clarifying questions, and delivers actionable eligibility assessments with PDF reports.

AI Match
Met
Met
Unmet
?
Notes → Matches
Minutes
From clinical notes
to qualified trial matches
Comprehensive
Eligibility analyzed
across every clinical axis
Multi-Network
Trials from multiple
partner networks
6-Step
AI pipeline
from input to report
Input methods

Flexible Input Options

Meet your workflow where it lives

Every practice captures clinical data differently. Clinical Trial Matching accepts any combination of documents, voice dictation, and manual entry — no forced intake format.

Upload Documents

Drop PDFs or images.

Clinical notes, lab reports, pathology results, or chemo orders. JPG, PNG, and PDF supported. Our AI extracts text and relevant clinical data automatically.

PDFJPG / PNGOCR
Voice Dictation

Record clinical notes directly.

Medical-grade speech-to-text using Google's medical dictation model — trained on clinical terminology so drugs, biomarkers, and labs come through accurately.

Google Medical STTReal-Time
Manual Entry

Paste or type directly.

Ideal for quick assessments or when documents aren't readily available. Works equally well with structured text or free-form narrative notes.

PasteFree Text
How it works

6-Step Pipeline

From clinical data to matched trials

A fully AI-assisted pipeline with transparent, criterion-level rationale at every step — no black-box matching.

01
Input Clinical Data
Choose your input method — upload, dictate, or type. The system accepts any combination of clinical documents, lab reports, pathology, or free-text notes.
Upload · Dictate · Type
02
AI Extraction
AI automatically extracts structured patient data: diagnosis, cancer type, biomarkers, lab values, treatment history, ECOG status, comorbidities, and more.
16 Structured Dimensions
03
Intelligent Trial Screening
Trials from partner networks are filtered by cancer type and screened against patient criteria. Rapid screening eliminates obvious mismatches before deep analysis.
Rapid Filter · Multi-Network
04
Clarifying Questions with AI Suggestions
When eligibility depends on missing information, the system generates targeted questions. AI analyzes your clinical notes to pre-fill recommended answers — you confirm or override.
Pre-Filled · Confidence Indicators
05
Deep Eligibility Assessment
Selected trials undergo comprehensive criterion-by-criterion evaluation. Each inclusion and exclusion criterion is assessed with clear verdicts: Met, Unmet, or Uncertain.
Met · Unmet · Uncertain
06
Reports & Referrals
Generate detailed PDF reports with patient summaries, criteria assessments, and rationale. Send referral emails directly to trial coordinators with pre-filled patient context.
PDF · One-Click Referral

Key Capabilities

Built for clinical decision-making, not paperwork

Nine capabilities working in concert — from unstructured note ingestion to one-click coordinator referrals.

Multi-Modal Input
Documents, voice dictation, or manual text entry — combine any input to build a complete patient picture.
Automatic Extraction
AI identifies diagnosis, biomarkers, labs, staging, and treatments from unstructured clinical notes without manual re-entry.
AI-Suggested Answers
Pre-filled responses based on clinical context, with confidence indicators. You stay in control — confirm, modify, or override.
Rapid + Deep Matching
Two-stage screening: quick filter eliminates obvious mismatches, then detailed criterion-by-criterion analysis on remaining trials.
Batch Processing
Assess multiple trials simultaneously with parallel AI processing — minutes, not hours.
Comprehensive Eligibility Analysis
Structured analysis across biomarkers, labs, staging, treatments, comorbidities, demographics, and more.
PDF Reports
Downloadable assessments with patient summaries, criterion-level verdicts, and full match rationale — ready for the chart.
One-Click Referrals
Pre-composed emails to trial coordinators with full patient context attached — no copy-paste between systems.
Multi-Network Access
Trials from multiple partner networks, screened in a single pass.
Eligibility analysis

Eligibility Analysis

Structured analysis across every clinical axis

Eligibility isn't one question. Our system breaks down trial criteria into clinically meaningful groups so nothing is missed.

Demographics
Diagnosis
Staging
Biomarkers
Laboratory Values
Performance Status
Treatment History
Medical History
Other
The AI advantage

Beyond Pattern-Matching

Intelligence you can read over the AI's shoulder

Every extraction, every suggestion, every verdict — with the source text and confidence level visible. You stay the decision-maker.

Intelligent Extraction

Don't manually re-enter data. Our AI reads clinical notes like a physician — identifying diagnoses buried in narrative text, parsing lab values from tables, and recognizing biomarker results in pathology reports.

Context-Aware Suggestions

When we ask clarifying questions, we don't ask blindly. The AI analyzes your notes and suggests the most likely answer, showing what it found and its confidence. You stay in control — confirm, modify, or override.

Criterion-by-Criterion Transparency

No black box matching. For every trial, see exactly which inclusion criteria are met, which exclusion criteria are triggered, and which remain uncertain. Full rationale provided for every verdict.

See it in action

Real Example

From clinical notes to qualified trial matches

Here's a sample patient's clinical notes alongside the trial matching report ClinixBoost generates from them. Click either card to view the full document.

Who It's For

Three audiences. One matching platform.

Clinical Trial Matching plugs into existing workflows for oncologists, research coordinators, and healthcare networks.

Oncologists & Care Teams
Surface relevant trials during treatment planning. Reduce hours of manual eligibility review to minutes, right inside the clinical workflow.
Clinical Research Coordinators
Receive pre-qualified referrals with structured patient data and eligibility assessments ready for screening — no more chasing incomplete charts.
Healthcare Networks
Increase trial enrollment system-wide with centralized, AI-assisted matching across partner sites. One platform, every network.

Get started

Every patient deserves to know if a trial could help them.

For oncologists, clinical research coordinators, and healthcare networks ready to turn hours of manual eligibility review into minutes of AI-assisted assessment.

Multi-Modal Input Comprehensive Eligibility Multi-Network Access AI-Suggested Answers Criterion-by-Criterion