Decoding Formulation Complexity: Comparative Performance of Statistical, Machine Learning, and Artificial Intelligence Models in Intelligent Nano Depot (iNDEP) Design
- DOI
- 10.1208/s12249-026-03578-1
- Published
- 2026-10-22
- Container
- AAPS PharmSciTech
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1208/s12249-026-03578-1,
title = {Decoding Formulation Complexity: Comparative Performance of Statistical, Machine Learning, and Artificial Intelligence Models in Intelligent Nano Depot (iNDEP) Design},
author = {Prachi Rabari and Hardik Bhupendra Rana and Manav Sharma and Vaishali Thakkar and Tejal Gandhi},
year = {2026},
journal = {AAPS PharmSciTech},
doi = {10.1208/s12249-026-03578-1},
url = {https://doi.org/10.1208/s12249-026-03578-1}
}RIS
TY - JOUR TI - Decoding Formulation Complexity: Comparative Performance of Statistical, Machine Learning, and Artificial Intelligence Models in Intelligent Nano Depot (iNDEP) Design AU - Prachi Rabari AU - Hardik Bhupendra Rana AU - Manav Sharma AU - Vaishali Thakkar AU - Tejal Gandhi PY - 2026 JO - AAPS PharmSciTech DO - 10.1208/s12249-026-03578-1 UR - https://doi.org/10.1208/s12249-026-03578-1 ER -
APA
Rabari, P., Rana, H. B., Sharma, M., Thakkar, V., & Gandhi, T. (2026). Decoding Formulation Complexity: Comparative Performance of Statistical, Machine Learning, and Artificial Intelligence Models in Intelligent Nano Depot (iNDEP) Design. AAPS PharmSciTech. https://doi.org/10.1208/s12249-026-03578-1
Source records
- crossref · retrieved 2026-11-10T14:07:51.034Z