A REVIEW ON INTEGRATING ARTIFICIAL INTELLIGENCE INTO DRUG DEVELOPMENT: REVOLUTIONIZING THE PHARMACEUTICAL LANDSCAPE

Authors

  • Oza Vrushant Pranay, Dr. Anuradha P. Prajapati, Mrs. Bhoomi S. Patel, Dr. Sachin B. Narkhede, Dr. Shailesh Luhar Smt B.N.B Swaminarayan Pharmacy College, Salvav-Vapi, India

Keywords:

Artificial intelligence (AI), Pharmaceutical industry, Drug development, Continuous learning, Supply chain optimization.

Abstract

AI revolutionizes pharmaceuticals by expediting drug discovery through data analysis, predicting candidates, and enabling medication repurposing. It extends to manufacturing, ensuring quality, reducing waste, and optimizing production. AI enhances supply chain management, predicting demand and preventing shortages. Its continuous learning adapts to evolving data, aligning drug development with the latest advancements. This synergy promises efficient, personalized, and effective pharmaceutical processes, heralding a transformative era for improved patient outcomes and advanced healthcare solutions.

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Published

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How to Cite

Oza Vrushant Pranay, Dr. Anuradha P. Prajapati, Mrs. Bhoomi S. Patel, Dr. Sachin B. Narkhede, Dr. Shailesh Luhar. (2023). A REVIEW ON INTEGRATING ARTIFICIAL INTELLIGENCE INTO DRUG DEVELOPMENT: REVOLUTIONIZING THE PHARMACEUTICAL LANDSCAPE. EPRA International Journal of Research and Development (IJRD), 8(12), 205–210. Retrieved from http://eprajournals.net/index.php/IJRD/article/view/3389

Issue

Vol. 8 No. 12 (2023): EPRA International Journal of Research and Development (IJRD)

Section

Articles