Copyright © 2026 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

@article{205985,
        author = {Adarsh Sharma},
        title = {AI IN ROLE OF PHARMACEUTICAL INDUSTRY},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {13},
        number = {1},
        pages = {8839-8845},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=205985},
        abstract = {Artificial Intelligence (AI) has emerged as a transformative technology in the pharmaceutical industry by improving efficiency, accuracy, and speed in various healthcare and drug development processes. The pharmaceutical sector faces major challenges such as high research costs, lengthy drug discovery procedures, clinical trial failures, and complex manufacturing systems. AI technologies including machine learning, deep learning, natural language processing, and robotics are increasingly being used to overcome these limitations and optimize pharmaceutical operations. AI assists in drug discovery by identifying potential drug candidates, predicting molecular behavior, and reducing the time required for new drug development. In clinical trials, AI helps in patient selection, data analysis, disease prediction, and monitoring treatment outcomes with improved precision. AI-based systems are also widely used in pharmaceutical manufacturing for quality control, process optimization, inventory management, and reducing human errors. Furthermore, AI supports personalized medicine by analyzing patient data and recommending customized treatments according to individual health conditions. The integration of AI in pharmacovigilance and disease diagnosis enhances patient safety and improves healthcare decision-making. Despite its advantages, challenges such as data privacy, regulatory issues, high implementation costs, and lack of technical expertise still exist. Overall, AI plays a significant role in revolutionizing the pharmaceutical industry by accelerating drug development, improving healthcare services, reducing operational costs, and enhancing the quality of patient care.},
        keywords = {Artificial Intelligence, Pharmaceutical Industry, Machine Learning, Drug Discovery},
        month = {June},
        }