Details
Exploring Computational Pharmaceutics
AI and Modeling in Pharma 4.0Advances in Pharmaceutical Technology 1. Aufl.
|
218,99 € |
|
| Verlag: | Wiley |
| Format: | |
| Veröffentl.: | 18.06.2024 |
| ISBN/EAN: | 9781119987246 |
| Sprache: | englisch |
| Anzahl Seiten: | 624 |
DRM-geschütztes eBook, Sie benötigen z.B. Adobe Digital Editions und eine Adobe ID zum Lesen.
Beschreibungen
<p><b>Provides an extensive and up-to-date overview of the theory and application of computational pharmaceutics in the drug development process</b> <p><i>Exploring Computational Pharmaceutics - AI and Modeling in Pharma 4.0</i> introduces a variety of current and emerging computational techniques for pharmaceutical research. Bringing together experts from academia, industry, and regulatory agencies, this edited volume also explores the current state, key challenges, and future outlook of computational pharmaceutics while encouraging development across all sectors of the field. Throughout the text, the authors discuss a wide range of essential topics, from molecular modeling and process simulation to intelligent manufacturing and quantitative pharmacology. <p>Building upon <i>Exploring Computational Pharmaceutics - AI and Modeling in Pharma 4.0</i>, this new edition provides a multi-scale perspective that reveals the physical, chemical, mathematical, and data-driven details of pre-formulation, formulation, process, and clinical studies, in addition to <i>in vivo </i>prediction in the human body and precision medicine in clinical settings. Detailed chapters address both conventional dosage forms and the application of computational technologies in advanced pharmaceutical research, such as dendrimer-based delivery systems, liposome and lipid membrane research, and inorganic nanoparticles. <p>A major contribution to the development and promotion of computational pharmaceutics, this important resource: <ul><li>Discusses the development track, achievements, and prospects of computational pharmaceutics</li> <li>Presents multidisciplinary research to help physicists, chemists, mathematicians, and computer scientists locate problems in the field of drug delivery</li> <li>Covers a wide range of technologies, including complex formulations for water-insoluble drugs, protein/peptide formulations, nanomedicine, and gene delivery systems</li> <li>Focuses on the application of cutting-edge computational technologies and intelligent manufacturing of emerging pharmaceutical technologies</li> <li>Includes a systematic overview of computational pharmaceutics and Pharma 4.0 to assist non-specialist readers</li></ul> <p>Covering introductory, advanced, and specialist topics, <i>Exploring Computational Pharmaceutics - AI and Modeling in Pharma 4.0 </i>is an invaluable resource for computational chemists, computational analysts, pharmaceutical chemists, process engineers, process managers, and pharmacologists, as well as computer scientists, medicinal chemists, clinical pharmacists, material scientists, and nanotechnology specialists working in the field.
<p>1. Introduction to Computational Pharmaceutics</p> <p>2. Opportunities and Challenges of Artificial Intelligence (AI) in Drug Delivery</p> <p>3. Computational Resources in Pharmaceutics</p> <p>4. Computational Modelling of Dry Powder Inhalation</p> <p>5. Molecular Modeling in Drug Delivery: Polymer Protective Coatings as Case Study</p> <p>6. 3D Structural Investigation of Solid Dosage Forms</p> <p>7. Dissolution Mechanism of Pharmaceuticals and Formulations by Non-Equilibrium Thermodynamic Modeling</p> <p>8. Physiologically Based Pharmacokinetics</p> <p>9. Molecular Modeling in Drug Delivery</p> <p>10. Integration of Dendrimer-Based Delivery Technologies with Computational Pharmaceutics and their Potential in the Era of Nanomedicine</p> <p>11. Artificial Intelligence and Computational Modeling in Orally Inhaled Drugs</p> <p>12. Digital Formulation Development using 3D Printing Technology: AI and Modeling</p> <p>13. A Review on Research and Application of Expert Systems on Drug Formulation and Process Design</p> <p>14. Application of PBPK Modeling in Formulation Development</p> <p>15. Multiscale Models for Tablet Manufacturing Process Development</p> <p>16. Machine Learning as a Part of Pharmaceutical Product Development</p> <p>17. Big Data Analysis of Patents and their Applications in Biomedical Research and Development</p> <p>18. Model-informed Drug Development (MIDD) Regarding Regulatory Requirements and Thinking</p>
<p><b>Edited by </b> <p><b>Dr. Defang Ouyang</b> is Associate Professor, Institute of Chinese Medical Sciences and Faculty of Health Sciences, University of Macau. With more than twenty years of experience in academia and industry, Dr. Ouyang has pioneered the integration of multi-scale modeling, Artificial Intelligence, and Big Data techniques in the field of drug delivery. He developed six approved patents and published two books, several book chapters, and over 100 refereed journal papers.
<p><b>Provides an extensive and up-to-date overview of the theory and application of computational pharmaceutics in the drug development process</b> <p><i>Exploring Computational Pharmaceutics - AI and Modeling in Pharma 4.0</i> introduces a variety of current and emerging computational techniques for pharmaceutical research. Bringing together experts from academia, industry, and regulatory agencies, this edited volume also explores the current state, key challenges, and future outlook of computational pharmaceutics while encouraging development across all sectors of the field. Throughout the text, the authors discuss a wide range of essential topics, from molecular modeling and process simulation to intelligent manufacturing and quantitative pharmacology. <p>Building upon <i>Exploring Computational Pharmaceutics - AI and Modeling in Pharma 4.0</i>, this new edition provides a multi-scale perspective that reveals the physical, chemical, mathematical, and data-driven details of pre-formulation, formulation, process, and clinical studies, in addition to <i>in vivo </i>prediction in the human body and precision medicine in clinical settings. Detailed chapters address both conventional dosage forms and the application of computational technologies in advanced pharmaceutical research, such as dendrimer-based delivery systems, liposome and lipid membrane research, and inorganic nanoparticles. <p>A major contribution to the development and promotion of computational pharmaceutics, this important resource: <ul><li>Discusses the development track, achievements, and prospects of computational pharmaceutics</li> <li>Presents multidisciplinary research to help physicists, chemists, mathematicians, and computer scientists locate problems in the field of drug delivery</li> <li>Covers a wide range of technologies, including complex formulations for water-insoluble drugs, protein/peptide formulations, nanomedicine, and gene delivery systems</li> <li>Focuses on the application of cutting-edge computational technologies and intelligent manufacturing of emerging pharmaceutical technologies</li> <li>Includes a systematic overview of computational pharmaceutics and Pharma 4.0 to assist non-specialist readers</li></ul> <p>Covering introductory, advanced, and specialist topics, <i>Exploring Computational Pharmaceutics - AI and Modeling in Pharma 4.0 </i>is an invaluable resource for computational chemists, computational analysts, pharmaceutical chemists, process engineers, process managers, and pharmacologists, as well as computer scientists, medicinal chemists, clinical pharmacists, material scientists, and nanotechnology specialists working in the field.
Diese Produkte könnten Sie auch interessieren:
Chemistry for the Protection of the Environment 4
von: Robert Mournighan, Marzenna R. Dudzinska, John Barich, Marjorie A. Gonzalez, Robin K. Black
213,99 €
