Reimagining Drug Delivery: Can Artificial Intelligence Transform the Pharmaceutical Research?
- aUniversity Department of Pharmaceutical Sciences, MGM University, Chh. Sambhajinagar (Aurangabad), Maharashtra, India.
Corresponding author: koleeknath.111@gmail.com
Abstract
Artificial intelligence (AI) and machine learning (ML) are emerging as promising tools in pharmaceutical research and drug delivery. Analysing the complex relationship between formulation variables and product performance, these technological advances can accelerate formulation development and support the design of advanced drug delivery systems. However, challenges related to data quality, model interpretability, regulatory acceptance, and experimental validation remain. Although AI cannot replace scientific experts, its integration with robust pharmaceutical principles has the potential to transform drug delivery and advance the development of safer, more effective, and patient centred therapies.
Graphical abstract
Keywords
- Drug Delivery
- Artificial Intelligence
- Machine Learning
- Pharmaceutical Research
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Data Availability Statement
No new data were generated or analysed in the preparation of this editorial. Therefore, data sharing is not applicable.
Competing interests
No potential conflict of interest was reported by the author(s).
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Copyright (c) 2026 Eknath Kole, Vinod Mokale
This work is licensed under a Creative Commons Attribution 4.0 International License.
