Computer-Aided Applications in Pharmaceutical Technology. Woodhead Publishing Series in Biomedicine

  • ID: 2719562
  • Book
  • 300 Pages
  • Elsevier Science and Technology
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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.

- 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

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List of figures

List of tables

List of abbreviations

About the editor

About the contributing authors

Introduction

Chapter 1: Quality-by-design in pharmaceutical development

Abstract:

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

Abstract:

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

Abstract:

3.1 Introduction

3.2 Theory

3.3 Examples

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

Abstract:

4.1 Introduction

4.2 Theory

4.3 Examples

Chapter 5: Neural computing in pharmaceutical products and process development

Abstract:

5.1 Artificial neural networks

Static neural networks

Construction and testing of the ANN

Unsupervised learning

Limitations of the ANN

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

Abstract:

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

Abstract:

7.1 Introduction

7.2 Theoretical background

7.3 Application of CFD in pharmaceutical technology

7.4 Conclusion

Appendix

Index

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Djuris, JelenaDr Jelena Djuris is currently a Teaching and Research Assistant at the Department of Pharmaceutical Technology and Cosmetology at the Faculty of Pharmacy, University of Belgrade in Serbia. She is an active researcher in the field of computer aided development and characterization of pharmaceutical products and processes, presenting and publishing mainly on neural computing.
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