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@article{183921,
        author = {Ms.Ashwini Changdev Bansode and Ms. Purva Dipak Survase and Ms.Jagruti Ramesh Patil and Rutuja Sharad Navale},
        title = {ENHANCING PHARMACEUTICAL QUALITY ASSURANCE AND VALIDATION VIA ARTIFICIAL INTELLIGENCE},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {3},
        pages = {3620-3625},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=183921},
        abstract = {The progression of artificial intelligence (AI) in the pharmaceutical sector ranges from initial implementations in automating administrative functions to its crucial involvement in drug research, customized therapy, and safety improvement. AI greatly enhances data analysis, real-time process monitoring, defect identification, predictive maintenance, and compliance assurance, ultimately improving efficiency, accuracy, and regulatory compliance. This paper evaluates the revolutionary role of AI integration in reinventing quality assurance and validation within the pharmaceutical sector, emphasizing AI's contribution to enhancing quality frameworks, core values, and intelligent manufacturing. Furthermore, the function of AI in improving validation procedures and the essential significance of data and algorithms are examined. As AI transforms the pharmaceutical sector, it highlights the synergy between technical innovation and quality improvement.},
        keywords = {Enhancing, predictive maintenance, compliance, pharmaceutical sector, artificial intelligence, quality assurance, and validation},
        month = {August},
        }