armored-cart-design-agent
Design armored CAR-T cells with cytokine payloads and resistance mechanisms.
Maintainer FreedomIntelligence · Last updated April 1, 2026
Track ctDNA dynamics for minimal residual disease detection and treatment monitoring.
Original source
https://github.com/FreedomIntelligence/OpenClaw-Medical-Skills/tree/main/skills/ctdna-dynamics-mrd-agent
Skill Snapshot
Source Doc
MRD Detection: Ultra-sensitive detection of residual disease (LOD 0.001% VAF).
Kinetic Modeling: Model ctDNA clearance and doubling time.
Response Prediction: Predict treatment response from early ctDNA dynamics.
Relapse Prediction: Identify molecular relapse months before imaging.
Resistance Monitoring: Track emergence of resistance mutations.
Multi-Timepoint Integration: Analyze longitudinal ctDNA trajectories.
| Approach | Method | LOD | Best Use Case |
|---|---|---|---|
| Tumor-Informed | Track known mutations | 0.001% | Post-surgical MRD |
| Tumor-Naive | Panel-based detection | 0.1% | Screening, unknown primary |
| WGS-Based | Fragmentomics + mutations | 0.01% | Comprehensive profiling |
| Methylation | cfDNA methylation | 0.1% | Tissue of origin, early detection |
| Parameter | Definition | Clinical Meaning |
|---|---|---|
| ctDNA Half-Life | Time to 50% reduction | Treatment sensitivity |
| Doubling Time | Time to 2x increase | Tumor growth rate |
| Nadir | Lowest ctDNA level | Depth of response |
| Time to Nadir | Days to reach nadir | Response kinetics |
| Clearance Rate | Exponential decay constant | Treatment efficacy |
| Lead Time | MRD+ to clinical relapse | Early detection window |
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