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The nature of biomedical research has been evolving in recent years. Technological advances that make it easier to study the vast complexity of biological systems have led to the initiation of projects with a larger scale and scope. In many cases, these large-scale analyses may be the most efficient and effective way to extract functional information from complex biological systems. Large-Scale Biomedical Science: Exploring Strategies for Research looks at the role of these new large-scale projects in the biomedical sciences. Though written by the National Academies' Cancer Policy Board, this book addresses implications of large-scale science extending far beyond cancer research. It also identifies obstacles to the implementation of these projects, and makes recommendations to improve the process. The ultimate goal of biomedical research is to advance knowledge and provide useful innovations to society. Determining the best and most efficient method for accomplishing that goal, however, is a continuing and evolving challenge. The recommendations presented in Large-Scale Biomedical Science are intended to facilitate a more open, inclusive, and accountable approach to large-scale biomedical research, which in turn will maximize progress in understanding and controlling human disease.
Physicists, historians, and anthropologists examine the transition of research in the physical sciences from the individuals or small groups after World War II, to the huge projects that now involve hundreds of scientists. The 13 papers, from a 1988 workshop at Stanford University, consider the American, European, and Japanese experience. Annotation copyrighted by Book News, Inc., Portland, OR
Biomedical Information Technology, Second Edition, contains practical, integrated clinical applications for disease detection, diagnosis, surgery, therapy and biomedical knowledge discovery, including the latest advances in the field, such as biomedical sensors, machine intelligence, artificial intelligence, deep learning in medical imaging, neural networks, natural language processing, large-scale histopathological image analysis, virtual, augmented and mixed reality, neural interfaces, and data analytics and behavioral informatics in modern medicine. The enormous growth in the field of biotechnology necessitates the utilization of information technology for the management, flow and organization of data. All biomedical professionals can benefit from a greater understanding of how data can be efficiently managed and utilized through data compression, modeling, processing, registration, visualization, communication and large-scale biological computing. - Presents the world's most recognized authorities who give their "best practices" - Provides professionals with the most up-to-date and mission critical tools to evaluate the latest advances in the field - Gives new staff the technological fundamentals and updates experienced professionals with the latest practical integrated clinical applications
This volume contains about 40 papers covering many of the latest developments in the fast-growing field of bioinformatics. The contributions span a wide range of topics, including computational genomics and genetics, protein function and computational proteomics, the transcriptome, structural bioinformatics, microarray data analysis, motif identification, biological pathways and systems, and biomedical applications. There are also abstracts from the keynote addresses and invited talks. The papers cover not only theoretical aspects of bioinformatics but also delve into the application of new methods, with input from computation, engineering and biology disciplines. This multidisciplinary approach to bioinformatics gives these proceedings a unique viewpoint of the field. Sample Chapter(s). Chapter 1: Exploring the Ocean''s Microbes: Sequencing the Seven Seas (122 KB). Contents: Exploring the Ocean''s Microbes: Sequencing the Seven Seas (M E Frazier et al.); Protein Network Comparative Genomics (T Ideker); Bioinformatics at Microsoft Research (S Mercer); Protein Fold Recognition Using Gradient Boost Algorithm (F Jiao et al.); Efficient Annotation of Non-Coding RNA Structures Including Pseudoknots via Automated Filters (C Liu et al.); Efficient Generalized Matrix Approximations for Biomarker Discovery and Visualization in Gene Expression Data (W Li et al.); Sorting Genomes by Translocations and Deletions (X Qi et al.); Detection of Cleavage Sites for HIV-1 Protease in Native Proteins (L You); Identifying Biological Pathways via Phase Decomposition and Profile Extraction (Y Zhang & Z Deng); Complexity and Scoring Function of MS/MS Peptide De Novo Sequencing (C Xu & B Ma); Simulating In Vitro Epithelial Morphogenesis in Multiple Environments (M R Grant et al.); and other papers. Readership: Research and application community in bioinformatics, systems biology, medicine, pharmacology and biotechnology. A useful reference for graduate researchers in bioinformatics and computational biology.
State-of-the-Art Approaches to Advance the Large-Scale Green Computing Movement Edited by one of the founders and lead investigator of the Green500 list, The Green Computing Book: Tackling Energy Efficiency at Large Scale explores seminal research in large-scale green computing. It begins with low-level, hardware-based approaches and then traverses up the software stack with increasingly higher-level, software-based approaches. In the first chapter, the IBM Blue Gene team illustrates how to improve the energy efficiency of a supercomputer by an order of magnitude without any system performance loss in parallelizable applications. The next few chapters explain how to enhance the energy efficiency of a large-scale computing system via compiler-directed energy optimizations, an adaptive run-time system, and a general prediction performance framework. The book then explores the interactions between energy management and reliability and describes storage system organization that maximizes energy efficiency and reliability. It also addresses the need for coordinated power control across different layers and covers demand response policies in computing centers. The final chapter assesses the impact of servers on data center costs.
In 1995, the National Science Foundation (NSF) created a special account to fund large (several tens of millions of dollars) research facilities. Over the years, these facilities have come to represent an increasingly prominent part of the nation's R&D portfolio. Recently concern has intensified about the way NSF is selecting projects for this account. In 2003, six U.S. Senators including the chair and ranking member of the Senate Subcommittee on VA, HUD, and Independent Agencies Appropriations expressed these concerns in a letter to the NRC asking it to "review the current prioritization process and report to us on how it can be improved." This report presents a series of recommendations on how NSF can improve its priority setting process for large research facilities. While noting that NSF has improved this process, the report states that further strengthening is needed if NSF is to meet future demands for such projects.
Technological tools and computational techniques have enhanced the healthcare industry. These advancements have led to significant progress and novel opportunities for biomedical engineering. Biomedical Engineering: Concepts, Methodologies, Tools, and Applications is an authoritative reference source for emerging scholarly research on trends, techniques, and future directions in the field of biomedical engineering technologies. Highlighting a comprehensive range of topics such as nanotechnology, biomaterials, and robotics, this multi-volume book is ideally designed for medical practitioners, professionals, students, engineers, and researchers interested in the latest developments in biomedical technology.
This book sets out the unique and paradoxical position biomedical science finds itself in, in the early 21st (superscript st) century. Science has never been stronger in shaping the world we live in; progress in medical science during most of the last century has helped to transform health care and prolong our lives; almost daily advances in biological science promise hope for the future and yet medical science has been in serious decline for the past three decades.Biomedical Science in the 21st (superscript st) Century: Sunset or New Dawn? sets out the recent decline in the context of medical science's stunning past successes. Professor Sheridan discusses the failure to translate new discoveries in biological science into medical advances; the dramatic decline in research productivity in the pharmaceutical industry in the context of falling numbers of clinical scientists; the disruption of medical science during prolonged and repeated reforms of health care delivery; changing social and political attitudes towards health care and science; the loss of trust in big pharmaceutical companies and recent revelations of fraud in science. The book deals with the creative nature of original science, how it is driven by curiosity and self-motivation and how these can be stifled by pettifogging managerialism.The book presents a vision of what medical science can deliver during the coming half century and what is needed to overcome the present challenges. It questions the assumptions that big is best in the organisation of science and suggests a new model for drug development based on a restoration of trust and a more constructive relationship between regulators and industry./a