ARTIFICIAL INTELLIGENCE: An innovative approach for Pharmaceutical field

Mr.Naimish Nanda
Assistant Professor, Faculty of Pharmacy, Kalinga University, Raipur

Artificial intelligence (AI) is rapidly transforming the pharmaceutical industry by enhancing drug discovery, development, and patient care. AI methodologies, including machine learning and deep learning, have been used for decades, but recent advancements in computational power and data availability are driving new innovations. AI is revolutionizing multiple aspects of pharmaceutical processes, including accelerating drug discovery by improving target identification and validation, enabling personalized medicine through AI-driven insights for tailored treatments, and optimizing manufacturing processes such as supply chain management, quality control, and predictive maintenance. Additionally, AI is improving efficiency in drug formulation, excipient selection, and synthetic route prediction. These advancements promise to reduce costs, shorten development timelines, and improve both the efficacy of medicines and patient outcomes. However, the widespread adoption of AI in the pharmaceutical sector raises significant regulatory challenges, particularly in ensuring safety, efficacy, and compliance with established standards.
This review explores the current applications of AI in the pharmaceutical industry, supported by recent research trends to provide a comprehensive understanding of AI’s transformative potential and its broader implications for drug development, patient health, and regulatory frameworks.

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