Biomedical Computing
Biomedical Computing

Author: Joseph A. November

Publisher: JHU Press

Published: 2012-06-01

Total Pages: 361

ISBN-13: 1421406659

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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.

Computers in Life Science Research
Computers in Life Science Research

Author: William Siler

Publisher: Springer Science & Business Media

Published: 2013-11-11

Total Pages: 250

ISBN-13: 1475705468

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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.

Catalyzing Inquiry at the Interface of Computing and Biology
Catalyzing Inquiry at the Interface of Computing and Biology

Author: National Research Council

Publisher: National Academies Press

Published: 2006-01-01

Total Pages: 469

ISBN-13: 030909612X

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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.

Computer Science
Computer Science

Author: Kyle Kirkland

Publisher: Infobase Publishing

Published: 2010

Total Pages: 225

ISBN-13: 0816074410

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Investigates the research and discoveries of computer scientists whose efforts have expanded knowledge of the rapidly changing field of computer science.

Data Analysis for the Life Sciences with R
Data Analysis for the Life Sciences with R

Author: Rafael A. Irizarry

Publisher: CRC Press

Published: 2016-10-04

Total Pages: 537

ISBN-13: 1498775861

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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.

Computers in Fisheries Research
Computers in Fisheries Research

Author: Bernard A. Megrey

Publisher: Springer Science & Business Media

Published: 2008-11-26

Total Pages: 427

ISBN-13: 1402086369

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The first edition of this book was published by Chapman and Hall Ltd. in 1996. The first edition contained nine chapters and, for all except one chapter, the original chapter authors agreed to update their chapter. Comparing these chapters gives the reader an idea of the development over a time span of more than 10 years between the two editions. In the preparation of the second edition we decided to add more chapters reflecting some important fields with significant contributions to present day fishery research. These are the use of internet for searching of information (Chapter 2), and the present state and use of remote sensing (Chapter 5), ecosystem modeling (Chapter 8) and visualization of data (Chapter 10). This second edition provides a valuable sampling of contemporary applications. Scientists have an opportunity to evaluate the suitability of different computer technology applications to their particular research situation thereby taking advantage of the experience of others. The chapters that follow are the fruition of this idea. The history behind this book started in 1989 when we were asked by Dr. Vidar Wespestad (previously: Alaska Fisheries Science Center, Seattle, USA) to prepare and convene a session at the 1992 World Fishery Congress in Athens, Greece on computer applications in fisheries. We agreed that the idea was a good one and the computer session in 1992 turned out to be very successful.

Dual Use Research of Concern in the Life Sciences
Dual Use Research of Concern in the Life Sciences

Author: National Academies of Sciences, Engineering, and Medicine

Publisher: National Academies Press

Published: 2017-10-01

Total Pages: 115

ISBN-13: 0309458889

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The potential misuse of advances in life sciences research is raising concerns about national security threats. Dual Use Research of Concern in the Life Sciences: Current Issues and Controversies examines the U.S. strategy for reducing biosecurity risks in life sciences research and considers mechanisms that would allow researchers to manage the dissemination of the results of research while mitigating the potential for harm to national security.

Research Methods in Human-Computer Interaction
Research Methods in Human-Computer Interaction

Author: Jonathan Lazar

Publisher: Morgan Kaufmann

Published: 2017-04-28

Total Pages: 562

ISBN-13: 0128093439

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Research Methods in Human-Computer Interaction is a comprehensive guide to performing research and is essential reading for both quantitative and qualitative methods. Since the first edition was published in 2009, the book has been adopted for use at leading universities around the world, including Harvard University, Carnegie-Mellon University, the University of Washington, the University of Toronto, HiOA (Norway), KTH (Sweden), Tel Aviv University (Israel), and many others. Chapters cover a broad range of topics relevant to the collection and analysis of HCI data, going beyond experimental design and surveys, to cover ethnography, diaries, physiological measurements, case studies, crowdsourcing, and other essential elements in the well-informed HCI researcher's toolkit. Continual technological evolution has led to an explosion of new techniques and a need for this updated 2nd edition, to reflect the most recent research in the field and newer trends in research methodology. This Research Methods in HCI revision contains updates throughout, including more detail on statistical tests, coding qualitative data, and data collection via mobile devices and sensors. Other new material covers performing research with children, older adults, and people with cognitive impairments. - Comprehensive and updated guide to the latest research methodologies and approaches, and now available in EPUB3 format (choose any of the ePub or Mobi formats after purchase of the eBook) - Expanded discussions of online datasets, crowdsourcing, statistical tests, coding qualitative data, laws and regulations relating to the use of human participants, and data collection via mobile devices and sensors - New material on performing research with children, older adults, and people with cognitive impairments, two new case studies from Google and Yahoo!, and techniques for expanding the influence of your research to reach non-researcher audiences, including software developers and policymakers

Deep Learning for the Life Sciences
Deep Learning for the Life Sciences

Author: Bharath Ramsundar

Publisher: O'Reilly Media

Published: 2019-04-10

Total Pages: 236

ISBN-13: 1492039802

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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