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- DOI 10.18231/j.ajmpr.v.3.i.1.1
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The integration of Artificial Intelligence (AI) into pharmaceutical sciences is revolutionizing drug discovery, development, manufacturing, and personalized treatment. AI-enabled pharmaceutical techniques leverage machine learning, deep learning, and data analytics to streamline processes, reduce costs, enhance accuracy, and accelerate timelines. This research paper explores the current state, methodologies, applications, and future directions of AI in pharmaceutical technologies. Emphasis is placed on drug discovery, clinical trials, pharmacovigilance, and precision medicine, while addressing challenges such as data quality, regulatory concerns, and ethical implications.
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