The evolution of nonlinear mixed effects modeling in pharmacometrics: toward AI-based variational autoencoders.

Rohleff J, Koch G, Schropp J

DOI: 10.1007/s10928-026-10044-9
Published: 2026 Jul 8
Container: Journal of pharmacokinetics and pharmacodynamics
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1007/s10928-026-10044-9,
  title = {The evolution of nonlinear mixed effects modeling in pharmacometrics: toward AI-based variational autoencoders.},
  author = {Rohleff J and Koch G and Schropp J},
  year = {2026},
  journal = {Journal of pharmacokinetics and pharmacodynamics},
  doi = {10.1007/s10928-026-10044-9},
  url = {https://doi.org/10.1007/s10928-026-10044-9}
}

RIS

TY  - JOUR
TI  - The evolution of nonlinear mixed effects modeling in pharmacometrics: toward AI-based variational autoencoders.
AU  - Rohleff J
AU  - Koch G
AU  - Schropp J
PY  - 2026
JO  - Journal of pharmacokinetics and pharmacodynamics
DO  - 10.1007/s10928-026-10044-9
UR  - https://doi.org/10.1007/s10928-026-10044-9
ER  -

APA

J, R., G, K., & J, S. (2026). The evolution of nonlinear mixed effects modeling in pharmacometrics: toward AI-based variational autoencoders.. Journal of pharmacokinetics and pharmacodynamics. https://doi.org/10.1007/s10928-026-10044-9

Source records

pubmed · retrieved 2026-09-25T06:12:44.143Z