Satish K Singh – författare

Surfactants in Biopharmaceutical Development addresses the progress, challenges, and opportunities in surfactant research in the context of the development of biologic therapeutics. It has been widely recognized that surfactants provide protection to therapeutic proteins against interfacial stresses, which is the reason that nearly all therapeutic proteins in development and on the market today contain surfactants. Despite the fact that the very mechanism of protein stabilization by surfactants has not been completely understood, surfactants are universally regarded as critical functional excipients for biopharmaceuticals by the industry and by regulators.This book provides a broad range of important surfactant-related topics as they relate directly to biopharmaceutical development. The initial chapters of the book address fundamental topics, like synthesis of surfactants, mechanisms of protein stabilization by surfactants, as well as practical considerations for the use of surfactants in biomanufacturing. Later chapters provide overview of the state-of-the-art analytical technology and methods for quantification and characterization of surfactants, as well as a deep-dive in one of the hottest topics in biopharmaceutical development today - surfactant degradation and its impact to drug product quality and stability. The book concludes with forward-looking chapters on control strategies with a special focus on current regulatory aspects of paramount importance for biopharmaceutical companies and regulators.

Describes the current state of research on surfactants in the context of biopharmaceutical development, drawing upon contributions from international experts across industry, academia, and regulatorsAddresses the opportunities and challenges associated with surfactants in biologic drug developmentProvides a defining resource for practitioners in the biopharmaceutical industry, regulators and academics by summarizing the latest knowledge of surfactants in biopharmaceutical development in one comprehensive volume

Surfactants in Biopharmaceutical Development addresses the progress, challenges and opportunities for surfactant research specific to pharmaceutical development, providing a broad range of important surfactant-related topics as they relate directly to the biopharmaceutical process. Chapters address fundamental topics, like mechanisms of protein stabilization by surfactants, the latest, state-of-the-art technology and methods to illustrate the practical application to biopharmaceutical development, forward-looking chapters on control strategies and novel surfactants, with a special focus on current regulatory aspects of paramount importance for biopharmaceutical companies and regulators.It has been widely recognized that surfactants provide protection to therapeutic proteins against interfacial stresses. Despite the fact that the very mechanism of protein stabilization by surfactants has not been completely understood, surfactants are universally regarded as critical functional excipients by the industry and by regulators.- Describes the current state of research on surfactants in the context of biopharmaceutical development, drawing upon contributions from international experts across industry, academia, and regulators- Addresses the opportunities and challenges associated with surfactants in biologic drug development- Provides a defining resource for practitioners in the biopharmaceutical industry, regulators and academics by summarizing the latest knowledge of surfactants in biopharmaceutical development in one comprehensive volume

This book constitutes the refereed proceedings of the 5th International Conference on Recent Trends in Image Processing and Pattern Recognition, RTIP2R 2022, held in Kingsville, TX, USA, in collaboration with the Applied AI Research Laboratory of the University of South Dakota, during December 01-02, 2022.The 31 full papers included in this book were carefully reviewed and selected from 69 submissions. They were organized in topical sections as follows: healthcare: medical imaging and informatics; computer vision and pattern recognition; internet of things and security; and signal processing and machine learning.

This book constitutes the refereed proceedings of the 5th International Conference on Recent Trends in Image Processing and Pattern Recognition, RTIP2R 2022, held in Kingsville, TX, USA, in collaboration with the Applied AI Research Laboratory of the University of South Dakota, during December 01-02, 2022.The 31 full papers included in this book were carefully reviewed and selected from 69 submissions. They were organized in topical sections as follows: healthcare: medical imaging and informatics; computer vision and pattern recognition; internet of things and security; and signal processing and machine learning.

The concept of controlled release has attracted increasing attention over the last two decades, with the applications of this technology proliferating in diverse fields in­ cluding medicine, agriculture and biotechnology. Research and developmental efforts related to controlled release are multiplying in both industry and academia. The reason for this phenomenal growth is obvious. The use of a variety of biologically active agents, such as drugs, fertilizers and pesticides, has become an integral part of modern society. Along with the use of these reagents has evolved an awareness that their uncontrolled application almost inevitably induces harmful effects on the health of humans and their surrounding environments. To eliminate or minimize these harmful effects necessitates the controlled release of these chemicals. Moreover, the controlled release of substances, not usually considered toxic or hazardous, e.g., some catalysts and nutrients, can enhance their effectiveness. The numberand variety of controlled release systems, differing in their physical and chemical makeup, are increasing rapidly. Proliferation almost always demands correlation, generalization and unification; it requires both the development of underlying theories of their behavior and the mechanistic interpretation of their performance. This, in turn, requires a statistical and mathematical (quantitative) treatment of the scientific information and technical data pertaining to them. A quantitative treatment can also facilitate the formulation of procedures for computer-aided design of these systems through a priori prediction of their per­ formance for a variety of design parameters.