Artificial intelligence is an area of computer science that deals with the ability to solve problems using symbolic programming. Artificial intelligence can help solve health-care issues with large-scale applications. Expert system development is a significant and effective application of artificial intelligence. Artificial intelligence (AI) is a technology-based system that uses a variety of advanced tools and networks to simulate human intelligence. AI makes use of systems and software that can read and learn from data and to make independent judgments in order to achieve certain goals. Its applications in the pharmaceutical area are constantly being expanded, as discussed in this chapter. Recently, healthcare sector is facing some complex challenges, such as the increased cost of drugs and therapies, and society needs specific significant changes in this area. Personalized medications with the necessary dose, release parameters, and other required aspects can be manufactured according to individual patient need with the use of AI in pharmaceutical product manufacturing. Using the latest AI-based technologies will not only reduce the time it takes for products to reach the market, but it will also improve product quality and overall safety of the manufacturing process, as well as provide better resource utilization and cost-effectiveness, emphasize the importance of automation. This chapter emphasizes the importance of artificial intelligence (AI) in the pharmaceutical sector, including drug research and development, medication repurposing, enhancing pharmaceutical productivity, and clinical trials And its current and future applications in drug discovery development.
Cite this article:
Shaikh Habeeba. Use of Artificial Intelligence in Drug Discovery and its Application in Drug Development. Asian Journal of Research in Chemistry. 2023; 16(1):83-0. doi: 10.52711/0974-4150.2023.00014
Shaikh Habeeba. Use of Artificial Intelligence in Drug Discovery and its Application in Drug Development. Asian Journal of Research in Chemistry. 2023; 16(1):83-0. doi: 10.52711/0974-4150.2023.00014 Available on: https://www.ajrconline.org/AbstractView.aspx?PID=2023-16-1-14
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