Artificial Intelligence in the Production of Biotherapeutics: Principles, Practices, and Standards

— —

Alok Kumar Srivastav Priyanka Das

Artificial Intelligence in the Production of Biotherapeutics

Principles, Practices, and Standards

Alok Kumar Srivastav, Priyanka Das

$274.95 $219.93

Hardback

Not in-store but you can order this
How long will it take?

Availability Information

We source books from suppliers in Australia and overseas. For books we don't currently have in stock, the time it takes to get them from our suppliers can vary widely - from a few days to a few months - so we check each book with each supplier to determine the expected time it will take to be supplied to us.

We then advise you accordingly. If the time taken to get any book is too long for you, you can let us know and we will cancel or adjust your order, and refund as required.

To find out the anticipated arrival time for specific items prior to ordering, please contact us by phone or email:

Phone +61 2 9264 3111, or 1800 4 BOOKS (1800 4 26657) if outside Sydney:
option 1 Abbey's Bookshop (Crime, History, Science, Kids & more) • info@abbeys.com.au
option 2 Language Book Centre (ESL & Foreign Languages) • language@abbeys.com.au
option 3 Galaxy Bookshop (Sci-fi, Fantasy, Romance, Graphic Novels) • sf@galaxybooks.com.au

QTY:

English

CRC Press
29 August 2025

Medical research; Biology, life sciences; Pharmaceutical technology; Artificial intelligence

The transformative role of artificial intelligence (AI) in modern biomanufacturing focuses on key areas such as process analytical technology (PAT), Good Manufacturing Practice (GMP) compliance, predictive analytics, and AI-driven quality systems. It bridges cutting-edge AI applications with the complexities of biotherapeutic production, offering insights into automation, real-time monitoring, and process optimization.

Delving into the core of biomanufacturing, the book provides a structured journey through its critical phases. It begins with an introduction to modern biomanufacturing principles, quality by design approaches, and the integration of AI. Subsequent chapters examine raw material management, lean manufacturing practices, and the application of predictive analytics to optimize supply chains. Readers will explore advanced tools such as AI-enhanced data acquisition in PAT, automated standard operating procedures (SOPs), and AI-driven process controls for fermenters and chromatography systems. The text also addresses GMP essentials, including personnel management, hygienic facility design, and pharmaceutical water systems. Key chapters highlight AI’s role in validation processes, sterile packaging, and regulatory compliance, referencing global guidelines from organizations such as the WHO, FDA, and ICH. Real-world case studies featuring therapeutic proteins, monoclonal antibodies, and vaccines underscore the practical applications of AI in scaling and maintaining biotherapeutic production.

This book equips readers with a comprehensive understanding of AI’s potential to enhance efficiency, accuracy, and compliance in biomanufacturing. Whether you are a professional, researcher, or student, this guide offers actionable insights into leveraging AI to revolutionize biotherapeutic production while adhering to the highest industry standards.

What You Will Learn:

Understand how AI enhances every phase of biotherapeutic production, from raw material management to regulatory compliance, optimizing efficiency, accuracy, and quality Explore the role of AI in advanced data acquisition, process control, and continuous improvement, including applications in fermenters, flow filtration, and chromatography systems Gain insights into leveraging AI for automating standard operating procedures (SOPs), predictive maintenance, quality assurance, and adhering to global GMP standards like WHO and FDA guidelines Learn how AI transforms upstream and downstream processes, ensures sterility in packaging, and supports case studies on therapeutic proteins, monoclonal antibodies, and human vaccines Discover the potential of AI in shaping the future of biomanufacturing, including challenges, data security, and the ethical implications of AI-driven automation

By: Alok Kumar Srivastav, Priyanka Das
Imprint: CRC Press
Country of Publication: United Kingdom
Dimensions: Height: 234mm, Width: 156mm,
Weight: 740g
ISBN: 9781041036357
ISBN 10: 1041036353
Pages: 286
Publication Date: 29 August 2025
Audience: College/higher education , Professional and scholarly , Primary , Undergraduate
Format: Hardback
Publisher's Status: Active

Dr. Alok Kumar Srivastav is an accomplished Assistant Professor in the Department of Health Science at the University of the People, Pasadena, California, USA. His academic background includes a Ph.D., M.Tech, and M.Sc. in Bio-Technology, a Post-Doctoral Fellowship (Research) in Bio-Technology from Lincoln University College, Malaysia, and an MBA in Human Resource Management. He is a distinguished figure in Academia and Research, honored with the “International Pride of Educationist Award” at AIT, Thailand, in 2022 for pioneering contributions to advancing education in the digital era, and recipient of a prestigious “Innovative Academic Researcher Award” at HULT, France, UK, in 2024 for his exceptional creativity, innovation, and impact in academic research. Dr. Priyanka Das serves as an Assistant Professor in the Department of Health Science at the University of the People in Pasadena, California, USA. She holds a Ph.D., M.Tech, and M.Sc. in Biotechnology along with an MBA in Human Resource Management. Prior to her current position, she was a Post-Doctoral Fellowship (Research) in Biotechnology at Lincoln University College, Malaysia. Dr. Priyanka Das is a dedicated scholar, contributing significantly to the field of Biotechnology.

Reviews for Artificial Intelligence in the Production of Biotherapeutics: Principles, Practices, and Standards

Review: Dr. Babasaheb Ghodke This book stands out as a comprehensive guide that successfully connects artificial intelligence with the complexities of modern biomanufacturing. It provides detailed coverage of process analytical technology, AI-driven controls, and regulatory frameworks that are vital for the biotherapeutics industry. The integration of case studies on proteins, antibodies, and vaccines gives it practical relevance, making it a strong reference for professionals who deal with real-world challenges in production. The emphasis on GMP compliance, facility design, and standards further enhances its utility. A highly applicable, compliance-focused resource that bridges AI innovations with the rigorous demands of biomanufacturing leadership.Review: Dr. Vandita Parashar This work delivers a solid combination of technical insights and regulatory awareness, making it a practical guide for professionals in the field. The structure is logical, moving from the fundamentals of bioprocessing to AI-driven process controls, chromatography, and facility hygiene. The case studies are especially useful in linking theory with practice. While the coverage is strong, further exploration of topics like AI model validation, data integrity, and ethical implications would have made it even more comprehensive. A robust, technically oriented resource that empowers R&D scientists and AI developers with both theoretical insight and practical implementation roadmaps for biopharmaceutical process innovation.Review: Dr. Poonam Jaiswal The book offers an inspiring exploration of how artificial intelligence is reshaping the production of biotherapeutics. It balances foundational explanations with advanced applications, making it approachable yet forward-thinking. Topics such as predictive analytics, data acquisition, automation of workflows, and supply chain management are presented in a way that motivates readers to explore new possibilities. The inclusion of regulatory considerations ensures that the content remains practical, while the discussions on sterile packaging and process validation add depth. An enlightening and user-friendly guide for students and early-career professionals eager to grasp AI’s role in the future of biotherapeutic production.