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organoid-drug-response-agent

Maintainer FreedomIntelligence · Last updated April 1, 2026

Analyze drug response in patient-derived organoids for personalized therapy prediction.

OpenClawNanoClawAnalysisReproductionorganoid-drug-response-agent🧠 bioos extended suiteoncology & precision medicine agentsanalyze

Original source

FreedomIntelligence/OpenClaw-Medical-Skills

https://github.com/FreedomIntelligence/OpenClaw-Medical-Skills/tree/main/skills/organoid-drug-response-agent

Maintainer
FreedomIntelligence
License
MIT
Last updated
April 1, 2026

Skill Snapshot

Key Details From SKILL.md

2 min

Key Notes

  • The Organoid Drug Response Agent provides AI-driven analysis of patient-derived organoid (PDO) drug screening data for personalized treatment selection. It correlates organoid drug responses with patient outcomes and molecular profiles to guide precision oncology decisions.
  • When interpreting organoid drug screening results for treatment selection.
  • To correlate PDO drug sensitivity with molecular features.
  • For identifying combination therapies using organoid co-culture systems.
  • When predicting patient response from organoid-derived data.

Source Doc

Excerpt From SKILL.md

Core Capabilities

  1. Drug Response Analysis: Process organoid viability data to calculate IC50, AUC, and response metrics.

  2. Patient-Organoid Concordance: Assess molecular fidelity between PDO and donor tumor.

  3. Biomarker Discovery: Identify molecular features predicting drug sensitivity.

  4. Combination Screening: Analyze drug synergy from combination matrices.

  5. Clinical Translation: Project organoid findings to patient treatment recommendations.

  6. Microenvironment Modeling: Analyze immune co-culture and CAF interactions.

Organoid Advantages

FeatureOrganoidsCell LinesPDX
Patient fidelityHighLowHigh
Establishment rate60-90%Variable30-50%
Turnaround4-8 weeksFast3-6 months
ThroughputMedium-highVery highLow
MicroenvironmentPartialNoneMouse
CostMediumLowHigh

Workflow

  1. Input: Organoid drug screening data, organoid molecular profiles, patient tumor data.

  2. QC: Assess organoid viability and growth metrics.

  3. Response Calculation: Compute drug sensitivity metrics.

  4. Concordance: Compare organoid to donor tumor molecular profiles.

  5. Biomarker Analysis: Correlate sensitivity with molecular features.

  6. Translation: Generate patient treatment recommendations.

  7. Output: Drug rankings, biomarkers, recommended treatments.

Use cases

  • When interpreting organoid drug screening results for treatment selection.
  • To correlate PDO drug sensitivity with molecular features.
  • For identifying combination therapies using organoid co-culture systems.
  • When predicting patient response from organoid-derived data.

Not for

  • Do not rely on this catalog entry alone for installation or maintenance details.

Upstream Related Skills

  • PDX_Model_Analysis_Agent - For complementary models
  • Drug_Repurposing - For additional drug candidates
  • Multi_Omics_Integration - For molecular characterization

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