| name | KSB-D02-K0076 |
| description | AI-Integrated Pharmacogenomics: Mastery of AI applications in pharmacogenomic ADR prediction including genetic variant interpretatio... |
| version | 1.0.0 |
| domain | D02 |
| domain_name | Clinical Aspects of ADRs |
| type | Knowledge |
| proficiency_level | L4 |
| bloom_level | analyze |
| triggers | ["explain ai-integrated pharmacogenomics","what is ai-integrated pharmacogenomics","analyze ai-integrated pharmacogenomics"] |
| epa_mapping | EPA-01, EPA-02, EPA-05 |
| cpa_mapping | CPA-01, CPA-02 |
| regulatory_refs | |
KSB-D02-K0076: AI-Integrated Pharmacogenomics
Overview
Domain: D02 - Clinical Aspects of ADRs
Type: Knowledge
Proficiency Level: L4 (Proficient - Independent practice)
Bloom Level: Analyze
Description
Mastery of AI applications in pharmacogenomic ADR prediction including genetic variant interpretation algorithms, population-specific risk models, precision medicine decision support, and AI-enhanced genotype-phenotype correlation analysis.
Context
- Major Section: AI-Enhanced ADR Analysis
- Section: Pharmacogenomic AI
EPA Mapping
- EPA-01:3001-3003
- EPA-02:3004-3005
- EPA-05:3011-3012
CPA Pathway
Regulatory References
Instructions
When this skill is activated, Claude should:
- Demonstrate L4 proficiency in ai-integrated pharmacogenomics
- Apply analyze level cognitive skills to analyze the topic
- Reference relevant regulatory guidance (general PV standards)
- Connect to related EPAs: EPA-01, EPA-02, EPA-05
Key Competencies
- Mastery of AI applications in pharmacogenomic ADR prediction including genetic variant interpretation algorithms, population-specific risk models, precision medicine decision support, and AI-enhanced genotype-phenotype correlation analysis.
Assessment Criteria
- Can analyze core concepts independently
- Demonstrates understanding of regulatory context
- Applies knowledge appropriately to PV scenarios
Related Skills
- Other D02 skills in Pharmacogenomic AI
- Cross-domain integrations per DAG architecture
Generated from PV KSB Framework v1.0 | 2025-12-31