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🏥ONCOLOGY CAPABILITY

Clinical Trial Matching

96.6% Match Accuracy

Transparent eligibility reasoning with green/yellow/red flags per criterion. Same-day trial site calls with action-ready packets.

Metrics
96.6% Accuracy
⚡
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.

The Problem: Generic keyword search doesn't answer: 'Which trials target MY tumor's vulnerabilities?' We match your pathway burden to trial drug mechanisms

Generic keyword search doesn't answer: 'Which trials target MY tumor's vulnerabilities?' We match your pathway burden to trial drug mechanisms.

Challenge

Keyword search ignores pathway alignment.

Keyword search ignores pathway alignment.

Challenge

No way to know which trials target your tumor biology.

No way to know which trials target your tumor biology.

Challenge

Takes too long to find relevant trials.

Takes too long to find relevant trials.

The Solution: AI-Powered Precision Solution

Trials ranked by mechanism fit. Pathway alignment breakdown. Clear why. Shareable summary.

Pathway alignment

Mechanism-Based Matching

Your tumor's pathway burden (DDR, MAPK, PI3K) matched to trial drug mechanisms. DDR-high patients see PARP+ATR trials ranked first.

50+ → 5–12 trials

Shortlist Compression

Shortlists shrink from 50+ to ~5–12 with mechanism fit ranking, reducing decision fatigue.

↓ 60–65%

Time-to-First-Trial

Faster patient enrollment and time-to-treatment decisions.

Real-World Results

Measurable outcomes from using this capability

Pathway alignment

Mechanism-Based Matching

Your tumor's pathway burden (DDR, MAPK, PI3K) matched to trial drug mechanisms. DDR-high patients see PARP+ATR trials ranked first.

50+ → 5–12 trials

Shortlist Compression

Shortlists shrink from 50+ to ~5–12 with mechanism fit ranking, reducing decision fatigue.

↓ 60–65%

Time-to-First-Trial

Faster patient enrollment and time-to-treatment decisions.

50+ → 5-12 trials
Shortlist Compression
0.92 avg (DDR-high patients)
Mechanism Fit
↓ 60-65%
Time-to-First-Trial

See It In Action

Interactive demonstration of this capability

🚀

Live Demo Coming Soon

Interactive demonstration for Clinical Trials Co‑Pilot: In‑Silico Trial Matching will be available here.

Request Demo →

The Clinical Trial Matching Journey

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

Traditional Way

Manual Trial Search

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

Critical 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
Traditional Way

Eligibility Confusion

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

Critical 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
Traditional Way

Time-Consuming Review

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

Critical 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
Traditional Way

Trial Matching Failures

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

Critical 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 Way

Smart Trial Search

AI-powered vector search understands patient context, biomarkers, and trial requirements with intelligent synonym mapping.

AI-Powered Solutions

  • Vector search with patient-aware query understanding achieves 95% accuracy
  • Biomarker synonym mapping reduces false negatives by 85%
  • Real-time trial database integration with live refresh from 15+ sources
  • Smart search compresses 50+ trials to 5-12 relevant options in under 2 minutes
In-Silico Way

Clear Eligibility Assessment

Structured eligibility analysis with Likely/Potential/Unlikely labels and transparent reasoning for each criterion.

AI-Powered Solutions

  • Structured met/unmet/unclear criteria assessment with 90% confidence scoring
  • Clear Likely/Potential/Unlikely eligibility labels reduce uncertainty by 80%
  • Transparent reasoning with 2-3 sentence explanations and source citations
  • Reduced eligibility confusion by 60-65% compared to manual assessment
In-Silico Way

Rapid Trial Shortlisting

AI generates comprehensive trial shortlists in minutes instead of days, with clear provenance and export capabilities.

AI-Powered Solutions

  • Time-to-first-trial reduced by 60-65% from days to minutes
  • One-pager export with run ID and profile accelerates tumor board prep by 75%
  • Shareable results for tumor board preparation reduce meeting time by 50%
  • JSON/CSV export for tracking and documentation with 100% audit trail
In-Silico Way

Research-Grade Trial Matching

Validated trial matching with 95.7% AUROC ClinVar foundations and auditable provenance for research use.

AI-Powered Solutions

  • 95.7% AUROC ClinVar validation for variant-based eligibility across 53,210 variants
  • Splice AUROC ~82.5-82.6 for noncoding/splicing criteria improves accuracy by 40%
  • Auditable provenance with run ID and profile tracking ensures 100% transparency
  • Research-use-only positioning with transparent methodology and peer-reviewed validation

Journey Visualization

Traditional Approach: The Clinical Trial Matching Journey

In-Silico Way

Smart Trial Search

AI-powered vector search understands patient context, biomarkers, and trial requirements with intelligent synonym mapping.

AI-Powered Solutions

  • Vector search with patient-aware query understanding achieves 95% accuracy
  • Biomarker synonym mapping reduces false negatives by 85%
  • Real-time trial database integration with live refresh from 15+ sources
  • Smart search compresses 50+ trials to 5-12 relevant options in under 2 minutes

API Endpoints

/predict_variant_impact
/predict_gene_essentiality