The integration of computational technologies in pharmaceutical sciences has transformed conventional drug research, formulation, and development processes. Recognizing this significant shift, “Computer Aided Drug Delivery System” (Exclusively Designed for M.Pharm Semester-II) has been developed to provide postgraduate pharmacy students with a comprehensive, syllabus-based academic resource that bridges theoretical concepts with practical applications. This book systematically covers essential topics such as computers in pharmaceutical research and Quality-by-Design (QbD), computational modeling of drug disposition, computer-aided formulation development, biopharmaceutical characterization, pharmacokinetic and pharmacodynamic simulations, and the growing roles of Artificial Intelligence (AI), Robotics, and Computational Fluid Dynamics (CFD) in pharmaceutical research and development. Special emphasis is placed on aligning modern computational approaches with regulatory frameworks and industry practices, supported by case studies, modeling examples, and ethical considerations.

Knowledge Outcomes and Cognitive Skill Outcomes:
• Understand the principles and applications of computer-aided techniques in drug delivery system design and optimization.
• Explain regulatory frameworks, including QbD practices and ICH guidelines.
• Comprehend computational strategies for drug absorption, distribution, excretion, and active transport.
• Describe optimization parameters, factorial designs, and simulation models used in formulation development.
• Recognize AI, robotics, and CFD applications in pharmaceutical automation.
• Apply computational tools for formulation design, biopharmaceutical characterization, and virtual clinical trials.
• Analyze pharmacokinetic and pharmacodynamic data through computer-aided simulations.
• Integrate AI-based systems for automation and process optimization in pharmaceutical industries.

It is our belief that this book will enrich students’ knowledge, sharpen their analytical abilities, and prepare them for evolving professional demands in computer-aided pharmaceutical sciences.