📄 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.
🏷️ Keywords
📚 How to Cite:
Oza Vrushant Pranay, Dr. Anuradha P. Prajapati, Mrs. Bhoomi S. Patel, Dr. Sachin B. Narkhede, Dr. Shailesh Luhar , A REVIEW ON INTEGRATING ARTIFICIAL INTELLIGENCE INTO DRUG DEVELOPMENT: REVOLUTIONIZING THE PHARMACEUTICAL LANDSCAPE , Volume 8 , Issue 12, december 2023, EPRA International Journal of Research & Development (IJRD) , DOI: https://doi.org/10.36713/epra15249