Precision Medicine Treatment Planning

Generate personalized treatment plans driven by pharmacogenomics, somatic and germline variant interpretation, and patient-specific clinical data. This skill integrates the Clinical Pharmacogenetics Implementation Consortium (CPIC) guidelines, ClinVar pathogenicity annotations, and PharmGKB drug-gene relationships to translate raw genomic data into actionable therapeutic recommendations.

Quick Install

npx skills add Open-Medica/open-medical-skills --skill precision-medicine-therapeutics

What It Does

• Pharmacogenomic dosing guidance: Maps patient genotype results (e.g., CYP2D6 poor metabolizer, CYP2C19 rapid metabolizer) to CPIC-guideline dosing recommendations for over 400 drug-gene pairs
• Variant-to-therapy matching: Cross-references somatic tumor variants against FDA-approved companion diagnostics and NCCN-recommended targeted therapies (e.g., EGFR mutations to osimertinib, BRAF V600E to vemurafenib/cobimetinib)
• ClinVar and ClinPGx integration: Pulls current pathogenicity classifications and clinical significance annotations to contextualize genomic findings within treatment decisions
• Multi-drug interaction overlay: After selecting genotype-guided therapies, screens the resulting regimen for drug-drug interactions using pharmacogenomic metabolism data
• Structured treatment output: Produces treatment plans with gene-drug pairs, recommended dose adjustments, alternative agents, monitoring parameters, and supporting evidence citations

Clinical Use Cases