A structured oral formulation database for machine learning: Uncovering data-informed design strategies to facilitate effective formulation development
- DOI
- 10.1016/j.ijpharm.2026.126957
- Published
- 2026-06
- Container
- International Journal of Pharmaceutics
- Publisher
- Elsevier BV
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.ijpharm.2026.126957,
title = {A structured oral formulation database for machine learning: Uncovering data-informed design strategies to facilitate effective formulation development},
author = {Jie Zhou and Conghui Li and Peng Zan and Zengming Wang and Baoqing Wang and Yanpeng Zhao and Xiuli Gao and Aiping Zheng},
year = {2026},
journal = {International Journal of Pharmaceutics},
doi = {10.1016/j.ijpharm.2026.126957},
url = {https://doi.org/10.1016/j.ijpharm.2026.126957}
}RIS
TY - JOUR TI - A structured oral formulation database for machine learning: Uncovering data-informed design strategies to facilitate effective formulation development AU - Jie Zhou AU - Conghui Li AU - Peng Zan AU - Zengming Wang AU - Baoqing Wang AU - Yanpeng Zhao AU - Xiuli Gao AU - Aiping Zheng PY - 2026 JO - International Journal of Pharmaceutics DO - 10.1016/j.ijpharm.2026.126957 UR - https://doi.org/10.1016/j.ijpharm.2026.126957 ER -
APA
Zhou, J., Li, C., Zan, P., Wang, Z., Wang, B., Zhao, Y., Gao, X., & Zheng, A. (2026). A structured oral formulation database for machine learning: Uncovering data-informed design strategies to facilitate effective formulation development. International Journal of Pharmaceutics. https://doi.org/10.1016/j.ijpharm.2026.126957
Source records
- crossref · retrieved 2026-09-27T11:05:39.685Z