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🏥ONCOLOGY CAPABILITY

Clinical Trial Matching

Mechanism-Based Matching

Transparent eligibility reasoning with green/yellow/red flags per criterion. Mechanism-based matching connects patient pathways to trial drug mechanisms.

Metrics
Mechanism-Based Matching
⚡
Time
45 seconds
🎯
Impact
Same-day actionable trial matches with transparent eligibility reasoning
🔬Clinical Trials Co‑Pilot

Trials ranked by mechanism fit

Clinical Trials Co‑Pilot: In‑Silico Trial Matching

Trials ranked by mechanism fit. Your tumor's pathways matched to trial drugs. Clear why. Shareable one-pager.

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The Clinical Trial Matching Journey

From manual trial searching chaos to intelligent, AI-powered trial matching with clear eligibility and provenance

Traditional Approach

Current limitations and challenges

Step 1

Manual Trial Search

Clinicians manually search through hundreds of clinical trials using basic keyword matching and outdated databases.

Key Problems:
  • Hours spent searching through 50+ irrelevant trials per patient
  • Keyword-based search misses 40% of relevant biomarker synonyms
  • No understanding of patient-specific eligibility criteria leads to 60% false positives
  • Fragmented databases with inconsistent information across 15+ sources
Step 2

Eligibility Confusion

Complex eligibility criteria create confusion about patient fit, leading to missed opportunities and wasted time.

Key Problems:
  • Unclear inclusion/exclusion criteria interpretation causes 70% uncertainty
  • No structured eligibility assessment leads to 3-5 days per trial review
  • High false positive rates in trial matching waste 80% of clinical time
  • Manual eligibility checking takes 2-3 days per trial on average
Step 3

Time-Consuming Review

Each trial requires extensive manual review, creating bottlenecks in patient care and research participation.

Key Problems:
  • Average 2-3 days per trial eligibility assessment across 5+ team members
  • Multiple team members needed for comprehensive review increases costs by 300%
  • High risk of missing 25% of relevant trials due to time constraints
  • Delayed patient enrollment in potentially beneficial trials by 2-4 weeks
Step 4

Trial Matching Failures

Without intelligent matching, patients miss opportunities for cutting-edge treatments and research participation.

Key Problems:
  • 40% of eligible patients never matched to relevant trials due to poor search
  • High dropout rates of 60% due to poor initial matching and confusion
  • Research teams miss 30% of qualified participants due to manual processes
  • Delayed access to potentially life-saving treatments by 6-8 weeks on average

In-Silico Approach

How we transform the process

Step 1

Biology-Aware Trial Search

CrisPRO searches trials by understanding patient biomarkers and connecting them to trial eligibility criteria through biological reasoning.

Solutions:
  • Biomarker analysis identifies patient's genetic and molecular profile
  • Biological matching connects patient biomarkers to trial drug mechanisms
  • Synonym mapping recognizes different names for the same biomarkers
  • Trial database integration searches across multiple sources simultaneously
Step 2

Clear Eligibility Assessment

Structured eligibility analysis with biological reasoning explaining why patients meet or don't meet each criterion.

Solutions:
  • Biological analysis evaluates how patient genetics align with trial requirements
  • Clear Likely/Potential/Unlikely labels with biological explanations
  • Transparent reasoning shows the biological basis for each eligibility determination
  • Mechanism-based matching connects patient pathways to trial drug targets
Step 3

Efficient Trial Shortlisting

CrisPRO generates trial shortlists by matching patient biology to trial mechanisms, with clear provenance and export capabilities.

Solutions:
  • Biology-based ranking prioritizes trials that target patient's pathway vulnerabilities
  • One-pager export includes biological rationale for trial relevance
  • Shareable results help care teams understand why trials are good matches
  • Export capabilities enable tracking and documentation of matching logic
Step 4

Transparent Trial Matching

Research-grade methodology with biological reasoning and auditable provenance for clinical decision support.

Solutions:
  • Biological reasoning explains how patient biomarkers connect to trial eligibility
  • Variant impact analysis informs eligibility for biomarker-driven trials
  • Auditable provenance documents the biological logic behind each match
  • Research-use-only positioning with transparent methodology

API Endpoints

/predict_variant_impact
/predict_gene_essentiality