Harnessing Real-Time UV Imaging and Convolutional Neural Networks (CNNs): Unlocking New Opportunities for Empirical In Vitro–In Vivo Relationship Modelling

Harnessing Real-Time UV Imaging and Convolutional Neural Networks (CNNs): Unlocking New Opportunities for Empirical In Vitro–In Vivo Relationship Modelling

<b>Background:</b> This study delves into the potential use of real-time UV imaging of the dissolution process combined with convolutional neural networks (CNNs) to develop multidimensional models representing the relation between in vitro and in vivo performance of drugs. <b>Metho...

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Bibliographic Details
Main Authors: Maciej Stróżyk, Adam Pacławski, Aleksander Mendyk
Format: Article
Language:English
Published: MDPI AG 2025-05-01
Series:Pharmaceutics
Subjects:
in vitro in vivo relationship
artificial intelligence (AI)
surface dissolution UV imaging
SDi2
convolutional neural networks (CNN)
Online Access:https://www.mdpi.com/1999-4923/17/6/728
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