A prediction model based on artificial intelligence techniques for disintegration time and hardness of fast disintegrating tablets in pre-formulation tests

A prediction model based on artificial intelligence techniques for disintegration time and hardness of fast disintegrating tablets in pre-formulation tests

Abstract Background The pharmaceutical industry is continually striving to innovate drug development and formulation processes. Orally disintegrating tablets (ODTs) have gained popularity due to their quick release and patient-friendly characteristics. The choice of excipients in tablet formulations...

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Bibliographic Details
Main Authors: Mehri Momeni, Marziyeh Afkanpour, Saleh Rakhshani, Amin Mehrabian, Hamed Tabesh
Format: Article
Language:English
Published: BMC 2024-03-01
Series:BMC Medical Informatics and Decision Making
Subjects:
Pharmaceutical formulation
Orally disintegrating tablets (ODTs)
Machine learning
Deep learning
Drug design
Tablet disintegration time
Online Access:https://doi.org/10.1186/s12911-024-02485-4

Internet

https://doi.org/10.1186/s12911-024-02485-4

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