Journal of Advances in Developmental Research

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Volume 17 Issue 2
2026

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Artificial Intelligence in Pharmaceutical Formulation: A Review on Predictive Approaches for Excipient and Dosage Form Optimization

Author(s) Mr. Shouvik Mondal, Mr. Hemant Kumar Pandey
Country India
Abstract The design of pharmaceutical formulations plays a crucial role in ensuring the effectiveness, safety, and long-term stability of therapeutic products. Traditionally, the formulation process has relied on empirical methodologies, often involving laborious trial-and-error to identify suitable excipients and develop optimal dosage forms. These conventional strategies can be inefficient, costly, and frequently fall short in providing accurate predictions. This review explores the increasing integration of advanced AI technologies within formulation science, focusing particularly on their roles in the rational selection of excipients and refinement of dosage forms. Utilising large volumes of experimental data, AI-driven models have proven effective in forecasting excipient interactions, optimising formulation parameters, and anticipating essential quality indicators such as stability and performance. Approaches including neural networks, decision-based models, ensemble learning methods, and kernel-based classifiers have shown significant promise in streamlining formulation development and reducing manual workload. Furthermore, the use of AI is paving the way for individualised drug delivery systems tailored to patient-specific profiles, promoting advancements in personalised treatment. Numerous studies demonstrate how AI-enabled formulation strategies enhance not only efficiency but also therapeutic effectiveness. However, several hurdles remain, including limitations in data accessibility, variability in data integrity, challenges in model explainability, and the need for regulatory clarity. Collaborative engagement across research institutions, industry stakeholders, and policymakers will be critical in addressing these issues and promoting the practical implementation of AI.
Keywords Artificial Intelligence, Formulation Science, Excipient Modelling, Dosage Form Design, Predictive Algorithms
Field Chemistry > Pharmacy
Published In Volume 17, Issue 2, July-December 2026
Published On 2026-08-04
DOI https://doi.org/10.71097/IJAIDR.v17.i2.2092
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Crossref DOI prefix of IJAIDR is 10.71097/IJAIDR

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