Design armored CAR-T cells with cytokine payloads and resistance mechanisms.
mrd-edge-detection-agent
维护者 FreedomIntelligence · 最近更新 2026年4月1日
Ultra-sensitive MRD detection from deep sequencing with error suppression.
原始来源
FreedomIntelligence/OpenClaw-Medical-Skills
https://github.com/FreedomIntelligence/OpenClaw-Medical-Skills/tree/main/skills/mrd-edge-detection-agent
- 维护者
- FreedomIntelligence
- 许可
- MIT
- 最近更新
- 2026年4月1日
技能摘要
来自 SKILL.md 的关键信息
核心说明
- MRD-EDGE Detection Agent implements MRD-EDGE (Enhanced Detection of ctDNA through Genomic Error suppression) 深度学习 algorithm ,用于 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 ,支持 zero false negatives in validation studies。
- When standard ctDNA assays show negative but MRD is suspected。
- 用于 ultra-sensitive post-surgical MRD monitoring。
- To detect relapse at earliest possible timepoint。
- When monitoring therapy response in minimal disease settings。
原始文档
SKILL.md 摘录
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 |
适用场景
- When standard ctDNA assays show negative but MRD is suspected。
- 用于 ultra-sensitive post-surgical MRD monitoring。
- To detect relapse at earliest possible timepoint。
- When monitoring therapy response in minimal disease settings。
不适用场景
- Do not rely on this catalog entry alone ,用于 installation 或 maintenance details。
上游相关技能
- 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
相关技能
相关技能
arxiv-search
Search arXiv physics, math, and computer science preprints using natural language queries. Powered by Valyu semantic sea…
Autonomous oncology research agent: literature mining, trial matching, biomarker analysis, and treatment hypothesis gene…
Preprocesses cell-free DNA sequencing data including adapter trimming, alignment optimized for short fragments, and UMI-…