| Description |
1 online resource (304 pages) |
| Series |
Woodhead Publishing Series in Biomedicine |
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Woodhead Publishing series in biomedicine.
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| Contents |
Cover; Formulation tools for pharmaceutical development; Copyright; Contents; List of figures; List of tables; Foreword; About the authors; 1. Introduction; 1.1 References; 2. Artificial neural networks technology to model, understand, and optimize drug formulations; 2.1 Introduction; 2.2 Artificial neural networks fundamentals; 2.3 Genetic algorithms; 2.4 Quality by Design case study: an integrated multivariate approach to direct compressed tablet development; 2.5 Fuzzy logic; 2.6 Future perspectives; 2.7 Acknowledgements; 2.8 References |
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3. ME_expert 2.0: a heuristic decision support system for microemulsions formulation development3.1 Introduction; 3.2 Methodology or description of the tool; 3.3 Modeling results and tool implementation; 3.4 Conclusions; 3.5 References; 4. Expert system for the development and formulation of push-pull osmotic pump tablets containing poorly watersoluble drugs; 4.1 Introduction; 4.2 Description of the tool; 4.3 Methodology of the tool; 4.4 Conclusions; 4.5 Discussions and future work; 4.6 References |
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5. SeDeM Diagram: an expert system for preformulation, characterization and optimization of tablets obtained by direct compression5.1 Introduction; 5.2 Parameters examined by SeDeM expert system; 5.3 Practical applications of SeDeM expert system; 5.4 Conclusions; 5.5 References; 6. New SeDeM-ODT expert system: an expert system for formulation of orodispersible tablets obtained by direct compression; 6.1 Introduction; 6.2 Characterization of powders using the SeDeM-ODT method; 6.3 Determination of the IGCB; 6.4 Design of ODT formulations using SeDeM-ODT expert system |
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6.5 Results and discussion6.6 References; 7. 3-D cellular automata in computer-aided design of pharmaceutical formulations: mathematical concept and F-CAD software; 7.1 Introduction; 7.2 Drug dissolution simulation model with cellular automata; 7.3 F-CAD: software package for CA-based formulation design; 7.4 Conclusions; 7.5 Acknowledgments; 7.6 References; 8. OXPIRT: Ontologybased eXpert system for Production of a generic Immediate Release Tablet; 8.1 Introduction; 8.2 OXPIRT architecture; 8.3 OXPIRT process; 8.4 Conclusion and future work; 8.5 References |
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9. Optimisation of compression parameters with AI-based mathematical models9.1 Introduction; 9.2 Compression process; 9.3 Principal component analysis; 9.4 Artificial neural networks and fuzzy models; 9.5 Improved compression process optimisation procedure; 9.6 Testing feasibility of the improved optimisation procedure; 9.7 Conclusions; 9.8 References; Index |
| Summary |
A range of new and innovative tools used for preformulation and formulation of medicines help optimize pharmaceutical development projects. Such tools also assist with the performance evaluation of the pharmaceutical process, allowing any potential gaps to be identified. These tools can be applied in both basic research and industrial environment. Formulation tools for pharmaceutical development considers these key research and industrial tools. Nine chapters by leading contributors cover: Artificial neural networks technology to model, understand, and optimize drug formulations; ME_exp |
| Notes |
Print version record |
| Subject |
Drug development.
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Pharmaceutical technology.
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Excipients.
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Expert systems (Computer science)
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Technology, Pharmaceutical -- methods
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Technology, Pharmaceutical
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Excipients
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Pharmaceutical Vehicles
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Drug Discovery -- methods
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Expert Systems
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Pharmaceutical Preparations -- chemistry
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MEDICAL -- Pharmacology.
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Expert systems (Computer science)
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Drug development
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Excipients
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Pharmaceutical technology
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| Form |
Electronic book
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| ISBN |
9781908818508 |
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1908818506 |
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