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Biomedical Translational Research
This book, which is the third volume of Biomedical translational research, focuses on the fundamental role of biomedical research in developing new medicinal products. It emphasizes the importance of understanding biological and pathophysiological mechanisms underlying the disease to discover and develop new biological agents. The book uniquely explores the genomic computational integrative approach for drug repositioning. Further, it discusses the health benefits of nutraceuticals and their application in human diseases. Further, the book comprehensively reviews different computational approaches that employ GWAS data to guide drug repositioning. Finally, it summarizes the major challenges in drug development and the strategies for the rational design of the next generation more effective but less toxic therapeutic agents.
Pharmaco-Biotechnology and Nanotechnology
This volume details various interesting aspects of pharmaceutical biotechnology. Some of the contributions here focus on nano-biotechnological aspects of cancer and its detection as nanotechnology is one of the most popular areas of research today. Chapters also discuss biosensors in the area of pharmacology and will serve as a guide for the study of various types of biosensors and their mode of action. The book also considers topics such as pharmacogenetics and nutrigenetics, keeping in mind the recent advancement in biomedical science. Its critical discussion of current research references to molecular pharmacology and molecular biotechnology will allow the reader to decipher the interplay between diet, drugs, and genetic factors for improving human health. The book will be of interest to professional researchers, under-graduate and post-graduate students, and professors, as well as industry practitioners.
Accelerating Science and Engineering Discoveries Through Integrated Research Infrastructure for Experiment, Big Data, Modeling and Simulation
This book constitutes the refereed proceedings of the 22nd Smoky Mountains Computational Sciences and Engineering Conference on Accelerating Science and Engineering Discoveries Through Integrated Research Infrastructure for Experiment, Big Data, Modeling and Simulation, SMC 2022, held virtually, during August 23–25, 2022. The 24 full papers included in this book were carefully reviewed and selected from 74 submissions. They were organized in topical sections as follows: foundational methods enabling science in an integrated ecosystem; science and engineering applications requiring and motivating an integrated ecosystem; systems and software advances enabling an integrated science and engineering ecosystem; deploying advanced technologies for an integrated science and engineering ecosystem; and scientific data challenges.
Smart Micro- and Nanomaterials for Pharmaceutical Applications
Smart drug delivery refers to a targeted drug delivery or precision drug delivery system that allows drugs to be administered to a specific location in the body or at a specific time with enhanced precision and control. This approach has several advantages, including maximizing the therapeutic effects of a drug while minimizing side effects. This book presents various stimuli-responsive micro- and nanomaterials for pharmaceutical industries. This volume: Covers the global market perspective of micro- and nano-smart materials in pharmaceutical industries. Details various processing routes. Discusses mechanisms for target release. Addresses applications in oral drug delivery, anticancer agents, anti-tumor drug delivery, and drugs for management of infection. This reference work is written to support researchers in the fields of materials engineering and biotechnology with the goal of improving the diagnosis and treatment of disease and patient quality of life.
Machine Learning and Deep Learning in Computational Toxicology
This book is a collection of machine learning and deep learning algorithms, methods, architectures, and software tools that have been developed and widely applied in predictive toxicology. It compiles a set of recent applications using state-of-the-art machine learning and deep learning techniques in analysis of a variety of toxicological endpoint data. The contents illustrate those machine learning and deep learning algorithms, methods, and software tools and summarise the applications of machine learning and deep learning in predictive toxicology with informative text, figures, and tables that are contributed by the first tier of experts. One of the major features is the case studies of ap...
Shape Memory Polymer Composites
Shape Memory Polymer Composites discusses the fabrication of smart polymer composites with their material characterization. It covers shape memory polymer composites with two different types of reinforcement: shape memory polymer nanocomposites and shape memory hybrid composites. Enhancing the mechanical and thermomechanical properties of the shape memory polymers makes them an important class of materials for new age applications ranging from aerospace, biomedical, electronics, to marine engineering. The book discusses how shape memory polymer composites exhibit remarkable mechanical properties, as compared to its corresponding shape memory polymers, without compromising the shape memory behavior. It presents experimental case studies of polymers, polymer composites, and multiphase composites, explaining the effects of each reinforcement on the material properties with corresponding simulation. The book will be a useful reference for industry professionals and researchers involved with the mechanics of shape memory materials.
Pattern Recognition and Machine Intelligence
The two-volume set of LNCS 11941 and 11942 constitutes the refereed proceedings of the 8th International Conference on Pattern Recognition and Machine Intelligence, PReMI 2019, held in Tezpur, India, in December 2019. The 131 revised full papers presented were carefully reviewed and selected from 341 submissions. They are organized in topical sections named: Pattern Recognition; Machine Learning; Deep Learning; Soft and Evolutionary Computing; Image Processing; Medical Image Processing; Bioinformatics and Biomedical Signal Processing; Information Retrieval; Remote Sensing; Signal and Video Processing; and Smart and Intelligent Sensors.
