International Journal of Technology
  • Year: 2024
  • Volume: 14
  • Issue: 2

Artificial intelligence in drug delivery system

  • Author:
  • Suyash Ingle, Monika Yemul*, Anjali Lavate**, Anjali Desai***
  • Total Page Count: 10
  • Published Online: May 8, 2025
  • Page Number: 115 to 124

Gandhi Natha Rangji College of Pharmacy, Solapur, Maharashtra, India

*Corresponding Author E-mail: monikayemul20@gmail.com

**lavateanjali2003@gmail.com

***anjalidesai2004@gmail.com

Online published on 8 May, 2025.

Abstract

Artificial intelligence (AI) has emerged as a revolutionary technology in various fields, including the pharmaceutical industry. One of the areas where artificial intelligence has shown great potential is in the development of drug delivery systems. Drug delivery systems play an important role in ensuring the efficient and effective management of drug agents and the creation of revolution-oriented medicine in this field. The section of the article on the use of artificial intelligence in drug delivery systems presents the main aspects of this innovative approach. Drug delivery methods, such as poor bioavailability, limited targeting, and unwanted side effects. It would then delve into the ways in which AI can address these challenges and enhance the efficiency of drug delivery. Various AI-based techniques employed in drug delivery, such as computational modeling, machine learning, and predictive analytics. These technologies enable the optimization of drug formulations, the identification of novel drug targets, and the personalization of treatment regimens based on individual patient characteristics. AI-driven drug delivery systems, including improved therapeutic efficacy, reduced side effects, and enhanced patient compliance. It also addresses the challenges and limitations associated with the implementation of artificial intelligence.

Keywords

Drug delivery, Artificial Intelligence, Fundamentals, Drug formulation optimization