Role of artificial intelligence in transforming pharmaceutical technology and its challenges

Abstract

Artificial intelligence (AI) has emerged as a powerful tool in transforming drug discovery, formulation, and testing within the pharmaceutical industry. AI is transforming drug discovery by analyzing large-scale biological data, such as genomics and proteomics, to identify disease-related targets. One of the major benefits of AI in drug discovery is its possibility to reduce the costs of research and development (R&D). It can predict crucial aspects of drug behavior, such as pharmacodynamics (PD) and pharmacokinetics (PK) —how a drug works in the body and how the body responds to the drug. By analyzing real-world patient data, AI can help create personalized treatment plans, improving outcomes by tailoring drugs to individual patient profiles. It also plays a part in drug delivery optimization, including designing more efficient pharmaceutical dosage forms. AI can optimize manufacturing process, which enhance consistency, and quality control. While the possibilities for AI in drug discovery is vast, there are also challenges. One key issue is the need for high-quality, well-curated data. Despite the challenges, the investment in AI technologies in the pharmaceutical industry presents exciting opportunities. In summary, there is immense possibilities with AI holds to enhance drug development by improving efficiency, reducing costs, and enabling more personalized treatments. This review outlines the role of AI and current pharmaceutical challenges.