Application of Artificial Intelligence in the Pharmaceutical Industry

The potentials of artificial intelligence (AI) have permeated all industries and fields, and the advantages of AI are extensively employed. This technology offers a wide range of benefits in the pharmaceutical industry, including reducing human interventions and increasing the speed and accuracy of tasks. This can expedite time-consuming activities, such as drug discovery, production, clinical trials, research and development, and ultimately, determining a drug’s position in target markets.

A comprehensive scope review was performed in this descriptive, applied study on the applications of AI in the pharmaceutical industry in Iran. Relevant data were meticulously gathered and extracted from diverse sources, including various search engines, key databases, such as Medline, PubMed, Elsevier, and the Iranian Center for Scientific Information and Documentation, and information databases, reference books, and reports from the World Health Organization. These results represent our research on key themes, including AI, the pharmaceutical industry, drug production, innovation, and evolution. Our main focus lies on the application of AI in the manufacturing part of the pharmaceutical industry, with a deliberate decision not to delve into the technical aspects. This approach allowed us to prioritize a comprehensive understanding of the practical implications and advancements in the manufacturing processes facilitated by artificial intelligence.

The retrieved studies showed that AI has the potential to enhance crucial processes in pharmaceutical companies across various dimensions. These potential capabilities are observed in areas such as quality control, human resource management, research and development, finance, supply chain management, logistics, data management, operations management, customer relationship management, and commerce, which are further discussed.

Pharmaceutical companies can utilize the tools provided by AI in various value-creating processes to enhance their efficiency and effectiveness. This requires the adoption and integration of this innovative technology at various levels of organizational planning so that these companies can harness the greater potential it offers with appropriate investments.