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Computer Aided Drug Delivery System is written by Yash Srivastav and published by INK FREEDOM PUBLISHERS. It's available with International Standard Book Number or ISBN identification 934824356X (ISBN 10) and 9789348243560 (ISBN 13).
This book offers a comprehensive and interdisciplinary exploration of modern pharmaceutical science through the lens of computational technologies, formulation principles, and process design. It serves as a valuable academic and professional resource for pharmacy students, pharmaceutical engineers, formulation scientists, and regulatory professionals seeking to bridge theoretical foundations with practical innovations in drug development and manufacturing. Built around the philosophy of Quality by Design (QbD), this book presents a structured and modular approach to understanding pharmaceutical development in today's data-driven, digitally evolving environment. Each chapter delves into a specialized domain—from formulation design and analytical techniques to advanced modelling tools such as Computational Fluid Dynamics (CFD), bioreactor simulations, and AI-integrated digital twins. These are framed within the context of regulatory frameworks, process validation strategies, and global quality standards to ensure readers gain not only technical insight but also regulatory clarity. Unlike conventional texts that often isolate scientific and engineering principles, this book integrates them in a cohesive, application-oriented format. Case studies, diagrams, flowcharts, and tabular comparisons are used throughout to demystify complex topics and offer real-world relevance. Whether it's modelling airflow in cleanrooms, optimizing spray drying in drug delivery, or simulating mixing dynamics in granulation vessels, readers will find a practical roadmap that blends theory with digital application. The inclusion of CFD-AI integration, PAT (Process Analytical Technology), and the emerging principles of Pharma 4.0 positions this book at the forefront of pharmaceutical modernization. It anticipates the future of personalized and automated drug production systems, while grounding every topic in scientific evidence and best manufacturing practices. This makes it especially useful for postgraduate students, research scholars, and professionals preparing for careers in R&D, quality assurance, and manufacturing innovation. Written in accessible academic language with an emphasis on clarity, depth, and usability, the book aims to foster problem-solving skills, critical thinking, and interdisciplinary collabouration. Each chapter concludes with a set of curated review questions and applied scenarios to encourage deeper reflection and classroom discussion. In a rapidly evolving pharmaceutical landscape, this book equips its readers not only to understand current industry demands but also to innovate responsibly and intelligently. It is both a foundation and a forward-looking guide, helping learners and practitioners navigate the increasingly digital and quality-centric world of modern pharmaceutics.