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A structured oral formulation database for machine learning: Uncovering data-informed design strategies to facilitate effective formulation development
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DOI：10.1016/j.ijpharm.2026.126957.png)
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Abstract
En 中文
• CPIMD: an oral formulation database structured for ML-oriented drug development. • Unsupervised clustering on CPIMD characterized four major formulation pattern clusters associated with drug properties, release categories, and excipient usage. • Formulation design templates linking drug properties, release goals, and functional excipients were proposed. • CPIMD enables data-informed formulation development and model training.
Keywords:
CPIMD
oral formulation
machine learning
formulation design
excipient usage
Journal
IF:
5.2
Papers:
2.2W
Citations:
6.7W
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Cited Papers