bio-longitudinal-monitoring
Tracks ctDNA dynamics over time for treatment response monitoring using serial liquid biopsy samples. Analyzes tumor fraction trends, mutation clearance kinetics, and defines molecular response criteria. Use when monitoring patients during therapy or detecting molecular relapse before clinical progression.
npx skills add FreedomIntelligence/OpenClaw-Medical-Skills --skill bio-longitudinal-monitoring --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
## Version Compatibility Reference examples tested with: matplotlib 3.8+, numpy 1.26+, pandas 2.2+, scipy 1.12+ Before using code patterns, verify installed versions match. If versions differ: - Python: `pip show <package>` then `help(module.function)` to check signatures If code throws ImportError, AttributeError, or TypeError, introspect the installed package and adapt the example to match the actual API rather than retrying. # Longitudinal Monitoring **"Track ctDNA levels over my patient's treatment"** → Monitor tumor fraction and mutation dynamics across serial liquid biopsy timepoints for treatment response assessment and early relapse detection. - Python: `pandas` + `matplotlib` for trend analysis and molecular response classification Track ctDNA dynamics over treatment for response assessment and relapse detection. ## Key Metrics | Metric | Description | Clinical Relevance | |--------|-------------|-------------------| | Tumor fraction trend | Change over time | Response/progression | | Mutation clearance | Time to undetectable | Depth of response | | Molecular relapse | ctDNA rise | Early relapse detection | | Lead time | ctDNA vs imaging | Months before clinical | ## Track
- Version Compatibility
- Key Metrics
- Tracking Tumor Fraction
- Mutation Tracking
- Relapse Detection
- Visualization
- Clinical Integration
- Related Skills
What does the bio-longitudinal-monitoring skill do?
Tracks ctDNA dynamics over time for treatment response monitoring using serial liquid biopsy samples. Analyzes tumor fraction trends, mutation clearance kinetics, and defines molecular response criteria. Use when monitoring patients during therapy or detecting molecular relapse before clinical progression.
How do I install it?
Run `npx skills add FreedomIntelligence/OpenClaw-Medical-Skills --skill bio-longitudinal-monitoring --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From FreedomIntelligence/OpenClaw-Medical-Skills, a repository with 2,909 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.