Predictive Excipient Compatibility and Dissolution Modelling: AI-Driven Optimisation of Solid Dosage Form Formulation

Authors

  • Hatice Özbay Associate Professor of Electrical and Electronics Engineering, Istanbul Technical University

Keywords:

predictive excipient compatibility, dissolution modelling, optimisation, solid dosage form formulation, machine learning

Abstract

It is widely recognized that drug development, the aim of which is to formulate new, quality preparations in user-friendly dosage forms, is becoming more and more complicated today. Therefore, new solutions based on modern technologies must be sought in order to maintain effectiveness, reduce costs, and increase the efficiency of the entire process—artificial intelligence (AI) is one of them.

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Published

31-12-2025

How to Cite

[1]
“Predictive Excipient Compatibility and Dissolution Modelling: AI-Driven Optimisation of Solid Dosage Form Formulation”, Blockchain Tech. & Distributed Sys., vol. 5, no. 2, pp. 18–25, Dec. 2025, Accessed: Jun. 05, 2026. [Online]. Available: https://thesciencebrigade.com/btds/article/view/860