Next-Generation Pharmacy Influence Artificial Intelligence is a M.Tech project topic for Chemical Engineering. It gives students a clear starting point for research, implementation planning, and documentation.
Next-Generation Pharmacy Influence Artificial Intelligence Project Details
| Abstract |
This research explores the transformative impact of artificial intelligence (AI) across the pharmaceutical lifecycle, encompassing drug discovery, development, and patient care. The study investigates how AI, leveraging machine learning, deep learning, and natural language processing, can effectively manage and interpret the extensive and diverse datasets inherent in modern drug research. Key applications include the identification of novel drug candidates, the prediction of potential adverse reactions, and the customization of treatment protocols for individual patients. The methodology involves analyzing AI's capacity to accelerate drug discovery phases and enhance the efficiency of clinical trials. Furthermore, the integration of real-world data, such as genetic information and electronic medical records, is examined for its
role in advancing personalized medicine strategies. This work aims to provide a comprehensive understanding of AI's potential to optimize pharmaceutical processes, generate new therapeutic insights, and refine patient care delivery mechanisms, thereby shaping the future landscape of pharmacy and healthcare.
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| Reference Paper |
Next-Generation Pharmacy: The Influence of Artificial Intelligence on Drug Development and Patient Care |
| Domain |
Chemical Engineering |
| Sub-Domain |
Process Systems / Process Simulation & Control / Advanced Process Control |
| PDF Download |
Download / View PDF |
| Get Help |
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