Provides an extensive and up-to-date overview of the theory and application of computational pharmaceutics in the drug development process

Exploring Computational Pharmaceutics - AI and Modeling in Pharma 4.0 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.

Building upon Exploring Computational Pharmaceutics - AI and Modeling in Pharma 4.0, 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 in vivo 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.

A major contribution to the development and promotion of computational pharmaceutics, this important resource:

• Discusses the development track, achievements, and prospects of computational pharmaceutics
• Presents multidisciplinary research to help physicists, chemists, mathematicians, and computer scientists locate problems in the field of drug delivery
• Covers a wide range of technologies, including complex formulations for water-insoluble drugs, protein/peptide formulations, nanomedicine, and gene delivery systems
• Focuses on the application of cutting-edge computational technologies and intelligent manufacturing of emerging pharmaceutical technologies
• Includes a systematic overview of computational pharmaceutics and Pharma 4.0 to assist non-specialist readers

Covering introductory, advanced, and specialist topics, Exploring Computational Pharmaceutics - AI and Modeling in Pharma 4.0 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.

Provides an extensive and up-to-date overview of the theory and application of computational pharmaceutics in the drug development process

Computational Pharmaceutics: From Multi-Scale Modeling to Artificial Intelligence 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.

Building upon Computational Pharmaceutics: Application of Molecular Modeling in Drug Delivery, 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 in vivo 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.

A major contribution to the development and promotion of computational pharmaceutics, this important resource:

• Discusses the development track, achievements, and prospects of computational pharmaceutics
• Presents multidisciplinary research to help physicists, chemists, mathematicians, and computer scientists locate problems in the field of drug delivery
• Covers a wide range of technologies, including protein/peptide formulations, diamond nanoparticles, layered double hydroxides (LDHs) drug delivery systems, and gene delivery systems
• Focuses on the application of cutting-edge computational technologies and intelligent manufacturing of emerging pharmaceutical technologies
• Includes a systematic overview of computational pharmaceutics and Pharma 4.0 to assist non-specialist readers

Covering introductory, advanced, and specialist topics, Computational Pharmaceutics: From Multi-Scale Modeling to Artificial Intelligence 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.