Artificial Intelligence Systems in Pharmacy

The number of industries using artificial intelligence is growing worldwide, including the healthcare and pharmaceutical industries. The main functions of artificial intelligence are big data processing and predictive modeling. The rapid development of artificial intelligence technologies offers significant opportunities for improving all stages of the drug life cycle – from preclinical trials to pharmacovigilance. In a number of areas, including big data management, control systems and statistical processing, existing principles, recommendations and elements of good pharmaceutical practices can already be directly applied to artificial intelligence systems. At the same time, the use of artificial intelligence models, characterized by an extremely large number of parameters and complex, poorly interpretable architectures, creates new categories of risks. These risks should be systematically identified and mitigated both during the development and training phase and during their implementation in regulatory processes to ensure patient safety, the reliability of analytical conclusions, and the reproducibility of clinical results. In recent years, the use of artificial intelligence in the pharmaceutical and biotechnological industries has changed the way scientists identify new drug targets, reposition and repurpose them, generate new molecules, conduct clinical trials, and perform all other actions throughout the entire life cycle of a drug.

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