Data Science in Pharmaceutical Development

This book highlights the transformative role of data science and how it enhances drug discovery and market delivery processes. It illustrates that data science is not just a supplementary tool but a cornerstone of modern pharmaceutical development strategies, enabling faster, safer, and more cost-effective drug discovery processes. This book serves as a vital resource for professionals seeking to understand how data science can optimize decision-making, improve patient outcomes, and ultimately reshape the future of pharmaceutical development.

The content is organized into three sections. Section one introduces the fundamentals of data science in pharmaceuticals, containing basic aspects of data science and aI in medicine and drug delivery. Section two focuses on practical applications of data science in pharmaceutical development, including manufacturing improvements, predictive models, clinical development, and quality management. Section three discusses advancements and future prospects, regarding medical data for pharmacovigilance and quality control highlighted in real-world case studies.