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@article{187680,
        author = {Anushka Bharat Shivankar and Shripali Bansi Hole and Vaishnavi Dnyaneshwar Jadhav and Date Tejal Hanumant},
        title = {Artificial Intelligence In Pharmaceutical Science.},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {6},
        pages = {6767-6772},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=187680},
        abstract = {Artificial Intelligence (AI) concentrates on generating intelligent models that facilitate knowledge representa-tion, problem-solving, and decision-making. Explores the transformative impact of artificial intelligence (AI) and robotics in the pharmaceutical industry. AI tech-nologies enhance drug discovery and delivery through predictive modeling of pharmacokinetics and patient reactions, utilizing traditional expert systems and ad-vanced artificial neural networks (ANNs) for improved efficacy and affordability in drug research. Robotics is poised to revolutionize the sector by automating pro-cesses, reducing operational costs, and facilitating rapid adaptation in drug development. The integration of machine learning allows for analyzing large datasets, supporting the creation of innovative medications while maintaining dynamic clinical trial integrations, herald-ing a new era in pharmaceutical advancement.},
        keywords = {Artificial Intelligence, Artificial Neural Network, Pharmaceutical Industry, Robotics},
        month = {November},
        }