QbD-Based Design Space Development for Honey-Containing Traditional Chinese Medicine Tablets Assisted by the SeDeM Expert System and Machine Learning.
- DOI
- 10.3390/pharmaceutics18081014
- Published
- 2026-08-16
- Container
- Pharmaceutics
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.3390/pharmaceutics18081014,
title = {QbD-Based Design Space Development for Honey-Containing Traditional Chinese Medicine Tablets Assisted by the SeDeM Expert System and Machine Learning.},
author = {Deng X and Mu D and Song F and Miao Y and Yin Q and Yin H.},
year = {2026},
journal = {Pharmaceutics},
doi = {10.3390/pharmaceutics18081014},
url = {https://doi.org/10.3390/pharmaceutics18081014}
}RIS
TY - JOUR TI - QbD-Based Design Space Development for Honey-Containing Traditional Chinese Medicine Tablets Assisted by the SeDeM Expert System and Machine Learning. AU - Deng X AU - Mu D AU - Song F AU - Miao Y AU - Yin Q AU - Yin H. PY - 2026 JO - Pharmaceutics DO - 10.3390/pharmaceutics18081014 UR - https://doi.org/10.3390/pharmaceutics18081014 ER -
APA
X, D., D, M., F, S., Y, M., Q, Y., & H., Y. (2026). QbD-Based Design Space Development for Honey-Containing Traditional Chinese Medicine Tablets Assisted by the SeDeM Expert System and Machine Learning.. Pharmaceutics. https://doi.org/10.3390/pharmaceutics18081014
Source records
- europe-pmc · retrieved 2026-09-25T03:01:16.712Z
- doaj · retrieved 2026-09-25T03:01:16.680Z