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@article{187276,
        author = {Miss. Sakshi Y. Badki and Mr. Lalit H. Jambhulkar and Mr. Ashutosh V. Khadatkar and Dr. Nilesh O. Chachda},
        title = {AI IN PHARMA: A REVIEW OF BENEFITS, APPLICATIONS AND FUTURE DIRECTIONS},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {6},
        pages = {6014-6023},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=187276},
        abstract = {Artificial Intelligence (AI) has revolutionized drug development, quality assurance, and discovery in the pharmaceutical manufacturing sector. This study examines AI's critical role in improving productivity, efficiency, and accuracy in a variety of fields, such as digital therapy, clinical trials, disease identification, personalized treatment, and manufacturing optimization. Predictive analytics, automation, and real-time decision-making are made possible by artificial intelligence (AI), which drastically cuts costs and development times by utilizing machine learning (ML), deep learning (DL), and neural networks. AI's practical applications are illustrated by case studies like DeepMind's AlphaFold and Benevolent AI COVID-19 drug repurposing. The study comes to the conclusion that automation, data-driven insights, and human-machine cooperation will converge in pharmaceutical manufacturing in the future, opening the door to more efficient, patient-centered, and long-lasting healthcare solutions.},
        keywords = {Artificial Intelligence (AI), Pharmaceutical Industry Drug Discovery, Machine Learning (ML), Deep Learning (DL) Predictive Analytics, Personalized Medicine, Quality Control, Clinical Trials, Drug Development, Automation, Data-Driven, Decision Making.},
        month = {November},
        }