An agentic AI system for automated pharmacogenomic recommendation generation
Abstract Pharmacogenomic guidelines are essential for tailoring drug therapy to individual genetic profiles, but current curation workflows are manual, resource‑intensive, time‑bound, and limited in coverage. We introduce an agentic AI system for automated, scalable generation of CPIC-style recommen...
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| Hauptverfasser: | , , , , , , , , , |
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| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
Nature Portfolio
2026-04-01
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| Schriftenreihe: | npj Digital Medicine |
| Online-Zugang: | https://doi.org/10.1038/s41746-026-02590-w |
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