eBook - Data Science in Pharmaceutical Development

  • ISBN: 9789373324050
  • 416 pages

Available Exclusively as an eBook | Part of the AI Collection | Only for Institutional Purchase | Publication Year: 2025

Description

Data Science in Pharmaceutical Development explores the transformative role of AI, machine learning, and data science in the entire pharmaceutical pipeline. It covers drug discovery, clinical trials, smart drug delivery, predictive modeling, personalized medicine, and ethical and regulatory issues, providing practical case studies for researchers and industry professionals.

About the Author

Vivek P. Chavda is an assistant professor in the Department of Pharmaceutics and Pharmaceutical Technology, Lallubhai Motilal College of Pharmacy, Ahmedabad, India; Usha Desai is a professor and the Dean of Research and Development at the South East Asia College of Engineering and Technology, Bangalore, India.

Table of Contents

1. Introduction to AI, Machine Learning, and Data Science in Pharmaceuticals

2. Drug Discovery and Development

3. Clinical Trials and Data Science Applications

4. Smart Drug Delivery Systems

5. Advanced Topics: Predictive Modeling, Personalized Medicine, IoT, Pharmacovigilance, Nanotechnology

6. Ethical, Legal, and Regulatory Considerations

7. Case Studies and Practical Implementations

8. Emerging Trends and Future Directions

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