A data-driven approach utilizing a raw material database and machine learning tools to predict the disintegration time of orally fast-disintegrating tablet formulations
Orally fast-disintegrating tablets (OFDTs) have seen a significant increase in popularity over the past decade, becoming a rapidly expanding sector in the pharmaceutical market. The aim of the current study is to use machine learning (ML) methods to predict the disintegration time (DT) of OFDTs. In...
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| Main Authors: | , , , , |
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| Format: | Book |
| Published: |
Pensoft Publishers,
2024-06-01T00:00:00Z.
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| Online Access: | Connect to this object online. |
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