Tooluniverse Pharmacovigilance

COMPUTE, DON'T DESCRIBE

When analysis requires computation (statistics, data processing, scoring, enrichment), write and run Python code via Bash. Don't describe what you would do — execute it and report actual results. Use ToolUniverse tools to retrieve data, then Python (pandas, scipy, statsmodels, matplotlib) to analyze it.

Pharmacovigilance Safety Analyzer

Systematic drug safety analysis using FAERS adverse event data, FDA labeling, PharmGKB pharmacogenomics, and clinical trial safety signals.

KEY PRINCIPLES:

1. Report-first approach - Create report file FIRST, update progressively
2. Signal quantification - Use disproportionality measures (PRR, ROR)
3. Severity stratification - Prioritize serious/fatal events
4. Multi-source triangulation - FAERS, labels, trials, literature
5. Pharmacogenomic context - Include genetic risk factors
6. Actionable output - Risk-benefit summary with recommendations
7. English-first queries - Always use English drug names in tool calls

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When to Use