The article reviews modern approaches to the use of artificial intelligence in personalized medicine, pharmaceutical design and education, in particular in the pharmaceutical industry, in the processes of search, development, new drugs, personalization of pharmacotherapy and in the education of specialists in these processes. An analysis of the main areas of application of artificial
... [Show full abstract] intelligence, its advantages and challenges, as well as the impact on pharmaceutical design in the creation of new drugs is carried out. Special attention is paid to the role of artificial intelligence in personalized medicine, prediction of clinical and pharmacological properties, optimization of clinical trials. Ethical and regulatory aspects of integrating artificial intelligence into medical and pharmaceutical education are considered. Prospects for further development and improvement of the implementation of artificial intelligence in medicine, pharmaceutical design and education are identified. The potential for artificial intelligence to accelerate drug discovery, reduce costs, and enhance treatment precision through real-time analysis of vast datasets is particularly highlighted. Additionally, educational curricula incorporating artificial intelligence-based simulations and virtual reality tools for training future pharmaceutical professionals are explored.