Poster2026Presented

Toward autonomous pharmacometrics: a multi agent framework for structure discovery, covariate selection and gray-box modeling

Racym Berrah, Jean-Baptiste Woillard

Event: PAGE 2026

Event: 2–5 June 2026

Dubrovnik, Croatia

Preview of Toward autonomous pharmacometrics: a multi agent framework for structure discovery, covariate selection and gray-box modeling
Preview of the original presentation.

Site summary

This proof of concept combines language-model agents with a custom SAEM engine for iterative population-PK structure and covariate exploration. Simulated and clinical tacrolimus examples showed feasibility, while code instability, execution safeguards, computational cost and continued pharmacometric supervision remained explicit limitations.

Topics

pharmacometricsmulti-agent systemsSAEMstructure discoverycovariate selectiongray-box modelingtacrolimus

Suggested citation

Racym Berrah, Jean-Baptiste Woillard. Toward autonomous pharmacometrics: a multi agent framework for structure discovery, covariate selection and gray-box modeling. PAGE 2026; 2026; Dubrovnik, Croatia. Poster.

Source file maintained in the Communication source collection.

Source provenance

Communication/Poster JUMPharma LLM.pptx
sha256:49b0502440b61955638a39689363cd152cdc745d289aab4457e13e56975e86d1