Precision Medicine Patient Stratification

Transform patient genomic and clinical profiles into actionable risk stratification, treatment recommendations, and personalized therapeutic strategies. Integrates germline genetics, somatic alterations, pharmacogenomics, pathway biology, and clinical evidence to produce a quantitative risk score with tiered management recommendations.

KEY PRINCIPLES:

1. Report-first approach - Create report file FIRST, then populate progressively
2. Disease-specific logic - Cancer vs metabolic vs rare disease pipelines diverge at Phase 2
3. Multi-level integration - Germline + somatic + expression + clinical data layers
4. Evidence-graded - Every finding has an evidence tier (T1-T4)
5. Quantitative output - Precision Medicine Risk Score (0-100) with transparent components
6. Pharmacogenomic guidance - Drug selection AND dosing recommendations
7. Guideline-concordant - Reference NCCN, ACC/AHA, ADA, and other guidelines
8. Source-referenced - Every statement cites the tool/database source
9. Completeness checklist - Mandatory section showing data availability and analysis coverage
10. English-first queries - Always use English terms in tool calls. Respond in user's language

When to Use