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WJPR Citation
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| All | Since 2020 | |
| Citation | 8502 | 4519 |
| h-index | 30 | 23 |
| i10-index | 227 | 96 |
INTEGRATING ARTIFICIAL INTELLIGENCE INTO DRUG DEVELOPMENT AND MANUFACTURING: ADVANCEMENTS AND CHALLENGES
Mayuri R. Mandlik*, Nursat H. Pathan and Punam B. Mahanor
. Abstract The integration of Artificial Intelligence (AI) into drug development and manufacturing is Revolutionizing the pharmaceutical industry, offering advancements in efficiency, precision and Cost reduction. This review article explores the importance of AI in accelerating drug discovery, Enhancing precision medicine, streamlining clinical trials and optimizing manufacturing Processes. By leveraging machine learning, natural language processing, and robotics, AI enables Accelerated target identification, personalized treatment options, and real-time monitoring of Manufacturing processes. Despite its transformative potential, the integration of AI faces Challenges related to data quality, regulatory compliance, technical hurdles, and workforce skills. However, collaborative efforts between industry and academia, coupled with continuous Improvement models, offer promising opportunities for the future of AI in pharmaceuticals. This Comprehensive overview highlights the promise of AI to revolutionize drug development and Manufacturing, paving the way for innovative treatments and improved healthcare outcomes. Keywords: AI, drug development, precision medicine, clinical trials, manufacturing optimization, Machine learning, regulatory compliance, collaborative innovation. [Full Text Article] [Download Certificate] |
