Prediction of tablet disintegration time based on formulations properties via artificial intelligence by comparing machine learning models and validation

Prediction of tablet disintegration time based on formulations properties via artificial intelligence by comparing machine learning models and validation

Abstract This research assesses multiple predictive models aimed at estimating disintegration time for pharmaceutical oral formulations, based on a dataset comprising nearly 2,000 data points that include molecular, physical, compositional, and formulation attributes. Drug and formulation properties...

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Bibliographic Details
Main Authors: Mohammed Ghazwani, Umme Hani
Format: Article
Language:English
Published: Nature Portfolio 2025-04-01
Series:Scientific Reports
Subjects:
Drug release
Pharmaceutical formulation
Machine learning
Disintegration time
Online Access:https://doi.org/10.1038/s41598-025-98783-6
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https://doi.org/10.1038/s41598-025-98783-6

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