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Computer-Aided Applications in Pharmaceutical Technology. Delivery Systems, Dosage Forms, and Pharmaceutical Unit Operations. Edition No. 2. Woodhead Publishing Series in Biomedicine

  • Book

  • September 2023
  • Elsevier Science and Technology
  • ID: 5789892

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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Table of Contents

1. Quality-by-design in pharmaceutical development2. Overview of methodologies available for data mining3. Computer-aided formulation development4. Experimental design application and interpretation in pharmaceutical technology5. Chemometric methods application in development of pharmaceutical products6. Neural computing in pharmaceutical products and process development7. Computer-aided biopharmaceutical characterization: Gastrointestinal absorption simulations8. Computer-aided biopharmaceutical characterization: Pulmonary absorption simulations9. Computational fluid dynamics: applications in pharmaceutical technology

Authors

Jelena Duris Department of Pharmaceutical Technology and Cosmetology, Faculty of Pharmacy, University of Belgrade, Belgrade, Serbia. Dr. Jelena �uris 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 �uris 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 �uris 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).