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 Book Chapter Faculty Publications- Book Chapter 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 Singh, Mahaveer; Patil, Anasuya; Tomar, Ravindra Singh; Sharma, Gyanendra Kumar; Lakshmi, K.; Anjali, P.K.; Aher, Vaibhav Dagaji Title A name given to the resource Future Possibilities for Integrating AI with Nano-Carrier Technology 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 Nanotechnology for Nucleic Acid Delivery;pp.231-253 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1201/9781998511853-8" target="_blank" rel="noreferrer noopener">https://doi.org/10.1201/9781998511853-8</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105028466731?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105028466731?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 Singh M., Department of Pharmaceutics, Dr Karigowda College of Pharmacy, Karnataka, Hassan, India; Patil A., Department of Pharmaceutics, KLE College of Pharmacy, Karnataka, Rajajinagar, Bangalore, India; Tomar R.S., Department of Electronics and Computer Engineering, Anand School of Engineering and Technology, Sharda University, Uttar Pradesh, Agra, India; Sharma G.K., Sharda School of Pharmacy, Sharda University, Uttar Pradesh, Agra, India; Lakshmi K., Department of Pharmacy, Chettinad School of Pharmaceutical Sciences, Chettinad Hospital and Research Institute, Chettinad Academy of Research and Education, Tamil Nadu, Kelambakkam, India; Anjali P.K., Department of Economics, CHRIST, Deemed to Be University, Karnataka, Bangalore, India; Aher V.D., Department of Pharmaceutical Medicine, Maharashtra University of Health Sciences, Maharashtra, Nashik, India Description An account of the resource The convergence of artificial intelligence (AI) and nanotechnology presents exciting prospects for advancing drug delivery systems. This review explores the potential synergies between AI and nanocarrier technology to enhance drug delivery efficiency and therapeutic outcomes. We examine current developments in both fields and propose future directions for integrating AI algorithms with nanocarrier design, optimization, and personalized medicine approaches. AI can play a pivotal role in guiding the rational design of nanocarriers, optimizing drug loading and release kinetics, predicting in vivo behavior, and tailoring treatments to individual patient needs. Challenges such as regulatory hurdles, data privacy concerns, and the need for interdisciplinary collaboration are also discussed. Overall, the integration of AI with nanocarrier technology offers unprecedented opportunities to revolutionize drug delivery and improve patient care in the years to come. 2026 by Apple Academic Press, Inc. Publisher An entity responsible for making the resource available Apple Academic Press Relation A related resource ISBN: 978-104088820-9; 978-199851184-6; Language A language of the resource English Type The nature or genre of the resource Book chapter Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library Format The file format, physical medium, or dimensions of the resource online