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mrd-edge-detection-agent
Maintainer FreedomIntelligence · Last updated April 1, 2026
Ultra-sensitive MRD detection from deep sequencing with error suppression.
Original source
FreedomIntelligence/OpenClaw-Medical-Skills
https://github.com/FreedomIntelligence/OpenClaw-Medical-Skills/tree/main/skills/mrd-edge-detection-agent
- Maintainer
- FreedomIntelligence
- License
- MIT
- Last updated
- April 1, 2026
Skill Snapshot
Key Details From SKILL.md
Key Notes
- The MRD-EDGE Detection Agent implements the MRD-EDGE (Enhanced Detection of ctDNA through Genomic Error suppression) deep learning algorithm for ultra-sensitive molecular residual disease detection. This AI-powered approach achieves unprecedented sensitivity in predicting cancer recurrence, detecting ctDNA at levels below 0.001% VAF with zero false negatives in validation studies.
- When standard ctDNA assays show negative but MRD is suspected.
- For ultra-sensitive post-surgical MRD monitoring.
- To detect relapse at the earliest possible timepoint.
- When monitoring therapy response in minimal disease settings.
Source Doc
Excerpt From SKILL.md
Core Capabilities
-
Ultra-Sensitive Detection: Detect ctDNA at 0.0001-0.001% VAF levels.
-
Deep Learning Error Suppression: AI-powered sequencing error filtering.
-
Integrated Noise Modeling: Patient-specific background noise estimation.
-
Multi-Feature Integration: Combine mutations, fragmentation, methylation.
-
Zero False Negative Design: Optimized for sensitivity while controlling specificity.
-
Longitudinal Tracking: Monitor MRD over time with confidence intervals.
MRD-EDGE Algorithm Components
| Component | Function | Improvement |
|---|---|---|
| Error Suppression Network | Deep learning noise filter | 10x sensitivity |
| Duplex Consensus | UMI-based error correction | 100x error reduction |
| Fragment Analysis | Tumor fragment enrichment | 2-3x signal boost |
| Integration Model | Multi-feature Bayesian fusion | Improved accuracy |
Sensitivity Comparison
| Method | LOD (VAF) | False Negative Rate |
|---|---|---|
| Standard NGS | 1% | High |
| UMI-corrected | 0.1% | Moderate |
| Tumor-informed panels | 0.01% | Low |
| MRD-EDGE | 0.001% | Near-zero |
Use cases
- When standard ctDNA assays show negative but MRD is suspected.
- For ultra-sensitive post-surgical MRD monitoring.
- To detect relapse at the earliest possible timepoint.
- When monitoring therapy response in minimal disease settings.
Not for
- Do not rely on this catalog entry alone for installation or maintenance details.
Upstream Related Skills
- ctDNA_Dynamics_MRD_Agent - Longitudinal MRD tracking
- Liquid_Biopsy_Analytics_Agent - Comprehensive liquid biopsy
- CHIP_Clonal_Hematopoiesis_Agent - CHIP filtering
- Tumor_Heterogeneity_Agent - Clonal tracking
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