Effects of AI on Pharmaceutical Manufacturing and Quality Control
Year: 2025
Type: article
Abstract: The pharmaceutical sector is changing as a result of artificial intelligence (AI), which is increasing supply chain management, improving drug discovery, and increasing operational efficiency. Systems driven by AI examine enormous databases to find trends, forecast future developments, and automate decision-making. Key AI sub-fields like machine learning, neural networks, robotics, and natural language processing are driving advancements in drug discovery, quality control, and customized treatment. Intelligent medical devices, automated diagnostic tools, and robotic pharmacies are examples of AI applications that optimize healthcare procedures, enhance patient outcomes, and guarantee regulatory compliance. To improve clinical trials, speed up drug research, and streamline production, top pharmaceutical corporations including Bayer, Pfizer, Sarnoff, and Novartis are incorporating AI.
Author: Aabak Mangal*, Aher Shrushti, Anerao Abhishek, Bagal Dnyaneshwar, Bairagi Shweta, S. D. Mankar
Language: English
Subfield: Health Informatics
Field: Medicine
Domain: Health Sciences
Open Access status: green
OpenAlex ID: W6912154665
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