Author: William Siler Publisher: Springer Science & Business Media ISBN: 1475705468 Category : Science Languages : en Pages : 250
Book Description
45 certainty about Federal policy concern the University of Alabama cardiac in ing the support of training contribute tensive care monitoring system on "ob to these difficulties. The problems are solete 1800 computers." Another re too broad and too complex to address sponded most efficaciously pointing out here. They are difficult for both aca that it is too bad that people lose sight of demia and government, and warrant the fact that a system on which a pro the active concern of the entire research gram is developed will always be able community. to do the job; change is not indicated Dr. Robert Macey introduced to the until the system ceases to be appropri ate. conference the exciting world of model development describing an application In another vein, the question opens to the area of membrane transport. The up a wide range of problems that can be discussion of his paper exposed the prob summarized as problems in the diffusion lern the modeler has of gaining ac of computer-based technology. At this ceptance of his particular approach, but juncture biomedical computing joins all mainly it provided a taste of the intellec the rest of biomedicine. The problems of tual excitement that modeling generates diffusion of advances in health research, among both doers and observers.
Author: Joseph A. November Publisher: JHU Press ISBN: 1421406659 Category : Technology & Engineering Languages : en Pages : 361
Book Description
Winner of the Computer History Museum Prize of the Special Interest Group: Computers, Information, and Society Imagine biology and medicine today without computers. What would laboratory work be like if electronic databases and statistical software did not exist? Would disciplines like genomics even be feasible if we lacked the means to manage and manipulate huge volumes of digital data? How would patients fare in a world absent CT scans, programmable pacemakers, and computerized medical records? Today, computers are a critical component of almost all research in biology and medicine. Yet, just fifty years ago, the study of life was by far the least digitized field of science, its living subject matter thought too complex and dynamic to be meaningfully analyzed by logic-driven computers. In this long-overdue study, historian Joseph November explores the early attempts, in the 1950s and 1960s, to computerize biomedical research in the United States. Computers and biomedical research are now so intimately connected that it is difficult to imagine when such critical work was offline. Biomedical Computing transports readers back to such a time and investigates how computers first appeared in the research lab and doctor's office. November examines the conditions that made possible the computerization of biology—including strong technological, institutional, and political support from the National Institutes of Health—and shows not only how digital technology transformed the life sciences but also how the intersection of the two led to important developments in computer architecture and software design. The history of this phenomenon has been only vaguely understood. November's thoroughly researched and lively study makes clear for readers the motives behind computerizing the study of life and how that technology profoundly affects biomedical research today.
Author: National Research Council Publisher: National Academies Press ISBN: 030909612X Category : Science Languages : en Pages : 469
Book Description
Advances in computer science and technology and in biology over the last several years have opened up the possibility for computing to help answer fundamental questions in biology and for biology to help with new approaches to computing. Making the most of the research opportunities at the interface of computing and biology requires the active participation of people from both fields. While past attempts have been made in this direction, circumstances today appear to be much more favorable for progress. To help take advantage of these opportunities, this study was requested of the NRC by the National Science Foundation, the Department of Defense, the National Institutes of Health, and the Department of Energy. The report provides the basis for establishing cross-disciplinary collaboration between biology and computing including an analysis of potential impediments and strategies for overcoming them. The report also presents a wealth of examples that should encourage students in the biological sciences to look for ways to enable them to be more effective users of computing in their studies.
Author: Ralph W. Stacy Publisher: Academic Press ISBN: 9780126623017 Category : Languages : en Pages : 0
Book Description
V.1: Computers and mathematics in the life sciences. Computer simulation of life processes. Computer analysis of specific biosystems. Computer uses in neurophysiology. Computers in clinical medicine. Computation in psychology and psychiatry. v.2: Computer technology in the life sciences. Programming for the life sciences research. Biological and physiological applications of computers. Computers in hospital automation. Computers in psychology and psychiatry. v.3: Computers and the delivery of medical care. On-line data acquisition in the clinical laboratory. Automated multiaccess system for clinical work. An on-line graphic inquiry system for analysis of tumor registry data. Cell identification and sorting. Use of a high-speed digital computer in processing radioisotope scintiscan matrices. Some data transformations useful in electrocardiography. Computation for quantitative on-line measurements in an intensive care ward. Computer-based patient monitoring. The comprehensive patient-monitoring concept.
Author: Rafael A. Irizarry Publisher: CRC Press ISBN: 1498775861 Category : Mathematics Languages : en Pages : 537
Book Description
This book covers several of the statistical concepts and data analytic skills needed to succeed in data-driven life science research. The authors proceed from relatively basic concepts related to computed p-values to advanced topics related to analyzing highthroughput data. They include the R code that performs this analysis and connect the lines of code to the statistical and mathematical concepts explained.
Author: Bharath Ramsundar Publisher: O'Reilly Media ISBN: 1492039802 Category : Science Languages : en Pages : 236
Book Description
Deep learning has already achieved remarkable results in many fields. Now it’s making waves throughout the sciences broadly and the life sciences in particular. This practical book teaches developers and scientists how to use deep learning for genomics, chemistry, biophysics, microscopy, medical analysis, and other fields. Ideal for practicing developers and scientists ready to apply their skills to scientific applications such as biology, genetics, and drug discovery, this book introduces several deep network primitives. You’ll follow a case study on the problem of designing new therapeutics that ties together physics, chemistry, biology, and medicine—an example that represents one of science’s greatest challenges. Learn the basics of performing machine learning on molecular data Understand why deep learning is a powerful tool for genetics and genomics Apply deep learning to understand biophysical systems Get a brief introduction to machine learning with DeepChem Use deep learning to analyze microscopic images Analyze medical scans using deep learning techniques Learn about variational autoencoders and generative adversarial networks Interpret what your model is doing and how it’s working
Author: Imad Abugessaisa Publisher: Springer Nature ISBN: 9811658129 Category : Science Languages : en Pages : 228
Book Description
This book provides the latest information of life science databases that center in the life science research and drive the development of the field. It introduces the fundamental principles, rationales and methodologies of creating and updating life science databases. The book brings together expertise and renowned researchers in the field of life science databases and brings their experience and tools at the fingertips of the researcher. The book takes bottom-up approach to explain the structure, content and the usability of life science database. Detailed explanation of the content, structure, query and data retrieval are discussed to provide practical use of life science database and to enable the reader to use database and provided tools in practice. The readers will learn the necessary knowledge about the untapped opportunities available in life science databases and how it could be used so as to advance basic research and applied research findings and transforming them to the benefit of human life. Chapter 2 is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.
Author: William Siler
Author: 
Author: Joseph A. November
Author: William Siler
Author: National Research Council
Author: Ralph W. Stacy
Author: Rafael A. Irizarry
Author: Bharath Ramsundar
Author: Robert Lewis
Author: Imad Abugessaisa