Pharmacogenomics — Overview¶
Kind: agent · Demo: A3 · Source: core/agents/pharmacogenomics

Illustrative. Pharmacogenomics at a glance.
What it is¶
Explains why two patients given the same dose of the same drug can have completely different outcomes.
Why it matters¶
Genotype-guided dosing has CPIC guidelines behind it. For DPYD and fluorouracil the stakes are toxicity, not efficacy.
Decision support for a qualified clinician — never autonomous diagnosis or prescribing. Every output on this page is intended to inform a clinician's judgement, not replace it.
Honest limit¶
CPIC guidance covers specific gene-drug pairs. Substrate relationships outside those pairs are pharmacology, not guideline-backed dosing advice.
Endpoints¶
UI :8507 · API :8508 (platform convention: registry endpoint is the UI, API is UI + 1)
| Capability | Type | Status | Endpoint |
|---|---|---|---|
pharmacogenomics-intelligence-agent |
agent | live | localhost:8507 |
Size and health¶
| Python files | 56 |
| Lines of code | 27,751 |
| Test files | 18 |
| Containerised | yes |
Verify at any time:
.venv/bin/python scripts/run_all_tests.py pharmacogenomics
Where to go next¶
- Foundation Learning Guide — the concepts, no prior knowledge assumed
- Advanced Learning Guide — architecture, modules, extension points
- Demo Guide — how to run
A3