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Computer-Aided Applications in Pharmaceutical Technology
Delivery Systems, Dosage Forms, and Pharmaceutical Unit Operations
- 2nd Edition - September 7, 2023
- Editor: Jelena Duris
- Language: English
- Hardback ISBN:9 7 8 - 0 - 4 4 3 - 1 8 6 5 5 - 4
- eBook ISBN:9 7 8 - 0 - 4 4 3 - 1 8 6 5 6 - 1
Computer-Aided Applications in Pharmaceutical Technology: Delivery Systems, Dosage Forms, and Pharmaceutical Unit Operations, Second Edition covers the fundamentals of experi… Read more
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Request a sales quoteComputer-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.
- Presents a comprehensive review of the current state of the art on various computer-aided applications in pharmaceutical technology
- Includes case studies to facilitate understanding of various concepts in computer-aided applications
- Covers applications such as the development of dosage forms and/or delivery systems, pharmaceutical unit operations, and relevant physiologically based pharmacokinetic simulations
Research and development scientists in the pharmaceutical industry. University researchers and postgraduate students (Masters, PhDs, Post-Docs) in the field of pharmaceutical technology, pharmaceutical development, biopharmaceutical studies, drug delivery, pharmaceutical engineering, etc.
- Cover image
- Title page
- Table of Contents
- Copyright
- Contributors
- Introduction
- Chapter 1: Quality by design in the pharmaceutical development
- Abstract
- 1.1: Introduction
- 1.2: ICH Q8–Q14 guidelines
- 1.3: Scientifically based QbD—State of the art and future prospects
- 1.4: Regulatory and industry views on QbD
- 1.5: From QbD to QbC
- 1.6: Conclusions
- References
- Chapter 2: Overview of data science and computational modeling concepts in pharmaceutical technology
- Abstract
- 2.1: Introduction
- 2.2: Mathematical modeling
- 2.3: Modeling and quality by design/control
- 2.4: Data science concepts in pharmaceutical technology
- 2.5: Conclusions
- References
- Chapter 3: Computer-aided formulation development of microemulsion drug delivery systems
- Abstract
- 3.1: Introduction
- 3.2: Development of microemulsion drug delivery systems using artificial neural network (ANN) modeling
- 3.3: Application of statistical design of experiments (DoE) in microemulsion optimization
- 3.4: Conclusions
- References
- Chapter 4: Experimental design application and interpretation in pharmaceutical technology
- Abstract
- 4.1: Introduction
- 4.2: Theory
- 4.3: Interplay of formulation factors and process parameters in experimental design: Case studies on emulsions
- 4.4: Additional examples
- References
- Chapter 5: Chemometric methods in pharmaceutical technology
- Abstract
- 5.1: Introduction
- 5.2: Theory
- 5.3: Examples
- 5.4: Illustrative examples
- References
- Chapter 6: Artificial intelligence applications in pharmaceutical technology
- Abstract
- 6.1: Artificial intelligence
- 6.2: Fuzzy logic
- 6.3: Decision trees
- 6.4: Evolutionary computing and genetic algorithms
- 6.5: Self-organizing maps
- 6.6: Conclusions
- References
- Chapter 7: Computer-aided biopharmaceutical characterization: Gastrointestinal absorption simulation
- Abstract
- 7.1: Introduction
- 7.2: Theoretical background
- 7.3: Model construction
- 7.4: Sensitivity analysis
- 7.5: Population simulations/virtual trials
- 7.6: Fed vs fasted state
- 7.7: Mechanistic interpretation of drug absorption pattern
- 7.8: Guidance on formulation strategy
- 7.9: In vitro dissolution and in vitro-in vivo correlation/relationship (IVIVC/R)
- 7.10: Biowaiver considerations
- 7.11: Special populations
- 7.12: Conclusions
- References
- Chapter 8: Computational fluid dynamics: Applications in pharmaceutical technology
- Abstract
- 8.1: Introduction
- 8.2: Theoretical background
- 8.3: Application of CFD in pharmaceutical technology
- 8.4: Conclusions
- References
- Appendix
- Reference
- Index
- No. of pages: 338
- Language: English
- Edition: 2
- Published: September 7, 2023
- Imprint: Woodhead Publishing
- Hardback ISBN: 9780443186554
- eBook ISBN: 9780443186561
JD
Jelena Duris
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).
Affiliations and expertise
Department of Pharmaceutical Technology and Cosmetology, Faculty of Pharmacy, University of Belgrade, Belgrade, SerbiaRead Computer-Aided Applications in Pharmaceutical Technology on ScienceDirect