Artificial Intelligence in Drug Discovery and Pharmaceutical Care: A Narrative Review

Abstract

Artificial intelligence (AI) is quickly changing the field of pharmacy and pharmaceutical sciences by making healthcare and drug-related processes more efficient, more accurate, and faster. With the help of AI technologies like machine learning and deep learning, the deep analysis of voluminous biological, chemical, and clinical data is possible, and this facilitates enhanced decision-making in drug discovery and development. AI is also used to aid drug discovery in the identification of targets as well as molecular design, virtual screening, and repurposing of drugs, which saves a lot of time and expense. AI has been used to enhance drug development via predictions of pharmacokinetics and toxicity as well as clinical trials optimization. In the pharmaceutical industry, AI can be used to optimize the processes, to monitor the quality and to predictive maintain the machinery to maintain the quality and efficiency of the products and the process. The usage of AI in pharmaceutical care is also important to assist the clinic in clinical decision systems, medication therapy management, prediction of adverse drug reaction, and personalized medicine. Moreover, it enhances medication safety and patient compliance because of its incorporation into both hospital and community pharmacy. Nonetheless, AI can transform the future of pharmacy practice and healthcare delivery despite the difficulties of data privacy and bias in the algorithm, as it has a great potential.