Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty Publications Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Sudha, Y.; Radhika, K.R.; Chethana, C.; Anoop, G.L.; Varma, Gadhiraju Tej; Bisalapur, Sahana Title A name given to the resource Artificial Intelligence Driven Drug Delivery Systems: Recent Advances and Emerging Trends Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2026 Source A related resource from which the described resource is derived International Journal of Drug Delivery Technology;Volume;16;Issue;9;pp.826-834 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.25258/Ijddt.16.9s.86" target="_blank" rel="noreferrer noopener">https://doi.org/10.25258/Ijddt.16.9s.86</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105033122012?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105033122012?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Sudha Y., Department of Computer Science and Business Systems, Nitte Meenakshi Institute of Technology (NMIT), Nitte(Deemed to be University), Bengaluru, India; Radhika K.R., Department of CSE, BMSIT&amp;M, Karnataka, Bengaluru, India; Chethana C., Department of CSE, BMSIT&amp;M, Karnataka, Bengaluru, India; Anoop G.L., Department of CSE, Christ University, Karnataka, Bengaluru, India; Varma G.T., Department of IT, SRKR Engineering College, Andhra Pradesh, Bhimavaram, India; Bisalapur S., Department of CSE, Department of Computer Science and Engineering, S. G. Balekundri Institute of Technology, Affiliated to VTU, Belagavi, India Description An account of the resource Drug Delivery Systems (DDS) play a critical role in ensuring the therapeutic efficacy and safety of pharmaceutical agents. Conventional drug delivery approaches often suffer from limitations such as poor bioavailability, non-specific targeting, and systemic toxicity. Recent advancements in Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL) have revolutionized the design and optimization of drug delivery platforms. AI-driven methods enable predictive modeling, intelligent nanocarrier design, and personalized therapeutic strategies by analyzing large biomedical datasets. These technologies facilitate optimized drug formulation, controlled release mechanisms, and targeted delivery, thereby improving treatment outcomes. AI algorithms such as Support Vector Machines (SVM), random forests, Convolutional Neural Networks (CNN), and reinforcement learning are increasingly applied in nanoparticle design, pharmacokinetic modeling, and clinical decision support systems. Additionally, emerging concepts such as self-driving laboratories, autonomous drug delivery systems, and AI-guided nanomedicine are reshaping pharmaceutical research. This review provides a comprehensive analysis of recent advances in AI-driven drug delivery systems, covering computational techniques, nanocarrier optimization, clinical applications, and emerging research trends. Comparative analysis tables summarize key algorithms, delivery platforms, and research developments reported in the literature. Finally, major challenges including data quality, regulatory issues, and interpretability of AI models are discussed along with future directions for the integration of AI in precision medicine and smart therapeutics. 2026, Dr. Yashwant Research Labs Pvt. Ltd. All rights reserved. Subject The topic of the resource Artificial Intelligence; Drug Delivery Systems; Machine Learning; Nanomedicine; Precision Medicine; Smart Therapeutics Publisher An entity responsible for making the resource available Dr. Yashwant Research Labs Pvt. Ltd. Relation A related resource ISSN: 9754415; Language A language of the resource English Type The nature or genre of the resource Article Rights Information about rights held in and over the resource All Open Access; Bronze Open Access Format The file format, physical medium, or dimensions of the resource online