AI-Powered Drug Delivery: Revolutionizing Formulation Science

Year : 2026 | Volume : 13 | Issue : 01 | Page : 48 61
    By

    Smita Srivastava,

  • Harinath Dwivedi,

  • Rajiv Gupta,

  1. Research Scholar, Department of Pharmaceutical Sciences, School of Pharmacy, BBD University, Lucknow, Uttar Pradesh, India
  2. Professor, School of Pharmacy BBD University, Lucknow, Uttar Pradesh, India
  3. Principal and Head, School of Pharmacy BBD University, Uttar Pradesh, India

Abstract

Artificial Intelligence (AI) is emerging as a groundbreaking tool in revolutionizing Drug Delivery Systems (DDS), offering promising advancements in precision, efficiency, and personalized treatment strategies. The integration of AI technologies into pharmaceutical research and development is transforming how drugs are formulated, delivered, and monitored in real time. By leveraging machine learning algorithms and data analytics, researchers can design drug delivery models that are not only more effective but also tailored to individual patient profiles, thereby improving therapeutic outcomes and minimizing adverse effects. This article explores various AI-driven methodologies that support drug release optimization, targeted delivery systems, and dynamic adjustments during treatment. Furthermore, the role of AI in predicting pharmacokinetics and pharmacodynamics responses enhances its value in the development of patient-centric therapies. In addition to the technical benefits, the article critically examines several challenges that come with the adoption of AI in drug delivery, including data privacy concerns, ethical implications, regulatory hurdles, and the need for robust validation protocols. Real-world case studies are presented to illustrate the practical applications and successes of AI-enhanced DDS across diverse medical fields. By providing a comprehensive overview, this article highlights the transformative potential of AI in shaping the future of drug delivery science. It concludes that despite existing limitations, the fusion of AI with pharmaceutical technologies represents a promising frontier for achieving more efficient, responsive, and customized healthcare solutions.

Keywords: Artificial Intelligence in Drug Delivery, Smart Drug Delivery Systems, Personalized Medicine, Machine Learning in Pharmaceuticals, Formulation Optimization.

[This article belongs to Trends in Drug Delivery ]

How to cite this article:
Smita Srivastava, Harinath Dwivedi, Rajiv Gupta. AI-Powered Drug Delivery: Revolutionizing Formulation Science. Trends in Drug Delivery. 2026; 13(01):48-61.
How to cite this URL:
Smita Srivastava, Harinath Dwivedi, Rajiv Gupta. AI-Powered Drug Delivery: Revolutionizing Formulation Science. Trends in Drug Delivery. 2026; 13(01):48-61. Available from: https://journals.stmjournals.com/tdd/article=2026/view=236425


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Regular Issue Subscription Original Research
Volume 13
Issue 01
Received 25/01/2026
Accepted 30/01/2026
Published 31/01/2026
Publication Time 6 Days
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