ABSTRACT:
The biotech sector is greatly impacted by machine learning models and artificial intelligence (AI) algorithms. AI is focused on creating intelligent modeling, which aids in knowledge creation, problem solving, and decision making. Applications of AI include clinical trials, communication, and drug target identification in addition to the discovery, development, and production of life-saving medications. These days, artificial intelligence (AI) is a major factor in many pharmacy domains, including poly-pharmacology, hospital pharmacy, drug discovery, and drug delivery formulation development. Using specific keywords and phrases like "Artificial intelligence," "Pharmaceutical research," "drug discovery," "clinical trial," "disease diagnosis," etc., the literature was gathered from domains like Pub Med, Science Direct, and Google Scholar in order to select and review articles published within the last five years. the use of AI in pharmaceutical manufacturing, pharmacovigilance, quality control, and many other areas, including medication development and design.
Cite this article:
Vaidehi Sunil Holey, Ajay W. Baitule. A Wide Application of Artificial Intelligence in Pharma Field. Asian Journal of Pharmaceutical Research.2024; 14(4):403-0. doi: 10.52711/2231-5691.2024.00064
Cite(Electronic):
Vaidehi Sunil Holey, Ajay W. Baitule. A Wide Application of Artificial Intelligence in Pharma Field. Asian Journal of Pharmaceutical Research.2024; 14(4):403-0. doi: 10.52711/2231-5691.2024.00064 Available on: https://asianjpr.com/AbstractView.aspx?PID=2024-14-4-10
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