Artificial Intelligence in Smart Drug Delivery Systems: A Step Toward Personalized Medicine

Abstract

One of the most interesting applications of artificial intelligence is in the design of drug delivery systems. Smart drug delivery systems can transfer drugs to specific tissues and cells, enhancing therapeutic effects while reducing undesirable side effects. The attention will be focused on the main concepts and techniques of AI such as machine learning, deep learning, and genetic algorithms. In addition to this, genetic algorithms can be used for the selection of the best numerical models, able to predict biological processes or optimize the activity of new drugs. Besides the powerful impact of AI on drug design, its combination with new biotechnologies for personalized medicine, sometimes called theragnostic, novel diagnostic tools together with targeted therapy could ensure quality and effectiveness during the clinical research of new drugs. Artificial intelligence (AI) techniques are finding their application in almost all disciplines, with special success in healthcare. AI-based algorithms can solve complex problems related to diagnosis, prediction, control, and prevention of diseases that are beyond the scope of human abilities. At the same time, the Internet of Things (IoT) revolution has added value to the healthcare sector. The resulting combination of IoT and AI platforms presents a promising fusion to provide healthcare delivery innovations like digital drug delivery, online healthcare consultancy platforms, and virtual healthcare assistants. In other hand personalized medicine is well-suited, regardless of potential disadvantages, for creating drug delivery systems that can respond to the exact needs and other special requirements of the patients. The development of smart drug delivery systems is a potential response to the unimodal properties of drugs and the discordance between patient requirements and the patient outcomes achieved by currently prescribed medications. The potential and actual positive economic and health-related impacts of advanced drug delivery technologies have created a strong demand for new advanced delivery forms.