Computer-Aided Applications in Pharmaceutical Technology: Delivery Systems, Dosage Forms, and Pharmaceutical Unit Operations, Second Edition covers the fundamentals of experimental design application and interpretation in pharmaceutical technology, chemometric methods with an emphasis on their applications in process control, neural computing, data science, computer-aided biopharmaceutical characterization, as well as the application of computational fluid dynamics in pharmaceutical technology. Completely updated, the book introduces the theory and practice of computational tools through new case studies. Chapters cover Quality by Design in pharmaceutical development, overview data mining methodologies, present computer-aided formulation development, cover experimental design applications, and much more.
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Dr. Jelena Đuriš graduated from the University of Belgrade, Faculty of Pharmacy in 2007. She holds a PhD in pharmaceutical technology and academic specialization title in industrial pharmacy. She is teaching industrial pharmacy and pharmaceutical technology courses at both under- and postgraduate studies, including multidisciplinary master studies in advanced data analytics (course: Advanced data analysis in pharmaceutical research and development). Jelena Đuriš has supervised 24 student master theses, 2 defended and 5 ongoing PhD theses, and 16 academic specialization theses. Her main research interests are pharmaceutical development, machine learning, modeling and simulation, modified/targeted drug release, and biopharmaceutical characterization. Jelena Đuriš has been nominated as an expert for the assessment of marketing authorization submissions for medicines by the Medicines and Medical Devices Agency of Serbia. She has published more than 60 full-length peer-reviewed papers in international journals and has 7 book chapter contributions, with more than 950 citations and h-index 18 (Scopus).
This second edition of Computer-Aided Applications in Pharmaceutical Technology covers the fundamentals of data science, experimental design application, and interpretation in pharmaceutical technology, chemometric methods with emphasis on their application in process control, artificial intelligence, machine learning, and computer-aided biopharmaceutical characterization as well as the application of computational fluid dynamics in pharmaceutical technology.
Completely updated, the book introduces the theory and practice of computational tools through numerous case studies, including state-of-the-art representative examples. Chapter 1 covers Quality by Design in pharmaceutical development. Chapter 2 provides an overview of data science and computational modeling concepts in pharmaceutical technology. Chapter 3 presents computer-aided formulation development, with specific emphasis on complex microemulsion systems. Chapter 4 covers experimental design applications and interpretations. Chapter 5 discusses chemometric methods and smart manufacturing in pharmaceutical technology. Chapter 6 covers artificial intelligence applications in pharmaceutical product and process development. Chapter 7 discusses computer-aided biopharmaceutical characterization, focusing on gastrointestinal absorption simulations. Finally, Chapter 8 discusses applications of computational fluid dynamics in pharmaceutical technology.
This book provides insights for research and development scientists in the pharmaceutical industry and academia. Data scientists who are entering the pharmaceutical field will also find this book particularly useful.
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