An exploratory application of modern statistical methodology and machine learning techniques in assessment of crystallinity monitoring and control strategy development for high-risk drug manufacturing
- DOI
- 10.1080/10543406.2026.2670525
- Published
- 2026-05-24
- Container
- Journal of Biopharmaceutical Statistics
- Publisher
- Informa UK Limited
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1080/10543406.2026.2670525,
title = {An exploratory application of modern statistical methodology and machine learning techniques in assessment of crystallinity monitoring and control strategy development for high-risk drug manufacturing},
author = {Kevin L. Chen and Yingjie Chen and Huiquan Wu},
year = {2026},
journal = {Journal of Biopharmaceutical Statistics},
doi = {10.1080/10543406.2026.2670525},
url = {https://doi.org/10.1080/10543406.2026.2670525}
}RIS
TY - JOUR TI - An exploratory application of modern statistical methodology and machine learning techniques in assessment of crystallinity monitoring and control strategy development for high-risk drug manufacturing AU - Kevin L. Chen AU - Yingjie Chen AU - Huiquan Wu PY - 2026 JO - Journal of Biopharmaceutical Statistics DO - 10.1080/10543406.2026.2670525 UR - https://doi.org/10.1080/10543406.2026.2670525 ER -
APA
Chen, K. L., Chen, Y., & Wu, H. (2026). An exploratory application of modern statistical methodology and machine learning techniques in assessment of crystallinity monitoring and control strategy development for high-risk drug manufacturing. Journal of Biopharmaceutical Statistics. https://doi.org/10.1080/10543406.2026.2670525
Source records
- crossref · retrieved 2026-09-25T23:06:23.913Z