Prediction of human intestinal passive membrane permeability using physiologically informed machine learning models
- DOI
- 10.1016/j.ejpb.2026.115291
- Published
- 2026-11
- Container
- European Journal of Pharmaceutics and Biopharmaceutics
- Publisher
- Elsevier BV
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.ejpb.2026.115291,
title = {Prediction of human intestinal passive membrane permeability using physiologically informed machine learning models},
author = {Reiji Negoya and Atsushi Kambayashi},
year = {2026},
journal = {European Journal of Pharmaceutics and Biopharmaceutics},
doi = {10.1016/j.ejpb.2026.115291},
url = {https://doi.org/10.1016/j.ejpb.2026.115291}
}RIS
TY - JOUR TI - Prediction of human intestinal passive membrane permeability using physiologically informed machine learning models AU - Reiji Negoya AU - Atsushi Kambayashi PY - 2026 JO - European Journal of Pharmaceutics and Biopharmaceutics DO - 10.1016/j.ejpb.2026.115291 UR - https://doi.org/10.1016/j.ejpb.2026.115291 ER -
APA
Negoya, R., & Kambayashi, A. (2026). Prediction of human intestinal passive membrane permeability using physiologically informed machine learning models. European Journal of Pharmaceutics and Biopharmaceutics. https://doi.org/10.1016/j.ejpb.2026.115291
Source records
- crossref · retrieved 2026-11-10T06:30:05.396Z