Skip to main content

Computer-Aided Applications in Pharmaceutical Technology

Research and development in the pharmaceutical industry is a time-consuming and expensive process, making it difficult for newly developed drugs to be formulated into commercially… Read more

World Book Day celebration

Where learning shapes lives

Up to 25% off trusted resources that support research, study, and discovery.

Description

Research and development in the pharmaceutical industry is a time-consuming and expensive process, making it difficult for newly developed drugs to be formulated into commercially available products. Both formulation and process development can be optimized by means of statistically organized experiments, artificial intelligence and other computational methods. Simultaneous development and investigation of pharmaceutical products and processes enables application of quality by design concept that is being promoted by the regulatory authorities worldwide. Computer-Aided Applications in Pharmaceutical Technology covers the fundamentals of experimental design application and interpretation in pharmaceutical technology, chemometric methods with emphasis of their application in process control, neural computing (artificial neural networks, fuzzy logic and decision trees, evolutionary computing and genetic algorithms, self-organizing maps), computer-aided biopharmaceutical characterization as well as application of computational fluid dynamics in pharmaceutical technology. All of these techniques are essential tools for successful building of quality into pharmaceutical products and processes from the early stage of their development to selection of the optimal ones. In addition to theoretical aspects of various methods, the book provides numerous examples of their application in the field of pharmaceutical technology.

Key features

  • A comprehensive review of the current state of the art on various computer aided applications in pharmaceutical technology
  • Case studies are presented in order to facilitate understanding of various concepts in computer-aided applications

Readership

Research and development scientists in the pharmaceutical industry; University researchers and postgraduate students in the field of pharmacy and technology.

Table of contents

Chapter 1: Quality-by-design in pharmaceutical development

1.1 Introduction

1.2 ICH Q8 guideline

1.3 Regulatory and industry views on QbD

1.4 Scientifically based QbD - examples of application

1.5 Conclusion

Chapter 2: Computer-aided formulation development

2.1 Introduction

2.2 Application of computer-aided techniques in development of pharmaceutical emulsions

2.3 Application of computer-aided techniques in development of microemulsion drug carriers

2.4 Conclusion

Chapter 3: Experimental design application and interpretation in pharmaceutical technology

3.1 Introduction

3.2 Theory

3.3 Examples

Chapter 4: Chemometric methods application in pharmaceutical products and processes analysis and control

4.1 Introduction

4.2 Theory

4.3 Examples

Chapter 5: Neural computing in pharmaceutical products and process development

5.1 Artificial neural networks

5.2 Fuzzy logic

5.3 Decision trees

5.4 Evolutionary computing and genetic algorithms

5.4.1 Theory

5.5 Self-organizing maps

5.6 Conclusion

Chapter 6: Computer-aided biopharmaceutical characterization: gastrointestinal absorption simulation

6.1 Introduction

6.2 Theoretical background

6.3 Model construction

6.4 Parameter sensitivity analysis

6.5 Virtual trial

6.6 Fed vs. fasted state

6.7 In vitro dissolution and in vitro-in vivo correlation

6.8 Biowaiver considerations

6.9 Conclusions

Chapter 7: Computational fluid dynamics: applications in pharmaceutical technology

7.1 Introduction

7.2 Theoretical background

7.3 Application of CFD in pharmaceutical technology

7.4 Conclusion

Product details

About the editor

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, Serbia

View book on ScienceDirect

Read Computer-Aided Applications in Pharmaceutical Technology on ScienceDirect