Sourcebook Of Models For Biomedical Research
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Sourcebook of Models for Biomedical Research
Author | : P. Michael Conn |
Publsiher | : Springer Science & Business Media |
Total Pages | : 756 |
Release | : 2008 |
Genre | : Medical |
ISBN | : 9781588299338 |
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The collection of systems represented in Sourcebook of genomic programs, although this work is certainly well Models for Biomedical Research is an effort to re?ect the represented and indexed. diversity and utility of models that are used in biomedicine. Some models have been omitted due to page limitations That utility is based on the consideration that observations and we have encouraged the authors to use tables and made in particular organisms will provide insight into the ? gures to make comparisons of models so that observations workings of other, more complex, systems. Even the cell not available in primary publications can become useful to cycle in the simple yeast cell has similarities to that in the reader. humans and regulation with similar proteins occurs. We thank Richard Lansing and the staff at Humana for Some models have the advantage that the reproductive, guidance through the publication process. mitotic, development or aging cycles are rapid compared As this book was entering production, we learned of the with those in humans; others are utilized because individual loss of Tom Lanigan, Sr. Tom was a leader and innovator proteins may be studied in an advantageous way and that in scienti?c publishing and a good friend and colleague to have human homologs. Other organisms are facile to grow all in the exploratory enterprise. We dedicate this book to in laboratory settings or lend themselves to convenient analy- his memory. We will miss him greatly.
Biomedical Models and Resources
Author | : National Research Council,Commission on Life Sciences,Institute for Laboratory Animal Research,Committee on New and Emerging Models in Biomedical and Behavioral Research |
Publsiher | : National Academies Press |
Total Pages | : 85 |
Release | : 1998-02-16 |
Genre | : Science |
ISBN | : 9780309060356 |
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Models for Biomedical Research
Author | : National Research Council Staff |
Publsiher | : Unknown |
Total Pages | : 192 |
Release | : 2024 |
Genre | : Electronic Book |
ISBN | : 083573451X |
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Animal models for biomedical research
Author | : Anonim |
Publsiher | : Unknown |
Total Pages | : 135 |
Release | : 1969 |
Genre | : Electronic Book |
ISBN | : OCLC:318310412 |
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Models for Biomedical Research
Author | : National Research Council (U.S.). Committee on Models for Biomedical Research |
Publsiher | : National Academies |
Total Pages | : 196 |
Release | : 1985 |
Genre | : Animal experimentation |
ISBN | : UOM:39015010670779 |
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Animal Welfare Information Center Bulletin
Author | : Anonim |
Publsiher | : Unknown |
Total Pages | : 344 |
Release | : 1998 |
Genre | : Animal welfare |
ISBN | : UCR:31210013228901 |
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Research in the Biomedical Sciences
Author | : Michael Williams,Michael Curtis,Kevin Mullane |
Publsiher | : Academic Press |
Total Pages | : 382 |
Release | : 2017-10-20 |
Genre | : Science |
ISBN | : 9780128047262 |
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Research in the Biomedical Sciences: Transparent and Reproducible documents the widespread concerns related to reproducibility in biomedical research and provides a best practices guide to effective and transparent hypothesis generation, experimental design, reagent standardization (including validation and authentication), statistical analysis, and data reporting. The book addresses issues in the perceived value of the existing peer review process and calls for the need for improved transparency in data reporting. It reflects new guidelines for publication that include manuscript checklists, replication/reproducibility initiatives, and the potential consequences for the biomedical research community and societal health and well-being if training, mentoring, and funding of new generations of researchers and incentives for publications are not improved. This book offers real world examples, insights, and solutions to provide a thought-provoking and timely resource for all those learning about, or engaged in, performing and supervising research across the biomedical sciences. Provides a “big picture perspective on the scope of reproducibility issues and covers initiatives that have potential as effective solutions Offers real-world research context for transparent, reproducible experimental design, execution and reporting of biomedical research with the potential to address aspects of the translational gap in drug discovery Highlights the importance of reproducibility and the necessary changes in biomedical and pharmaceutical research training and incentives to ensure sustainability
Model Systems in Biology
Author | : Georg Striedter |
Publsiher | : MIT Press |
Total Pages | : 303 |
Release | : 2022-08-23 |
Genre | : Science |
ISBN | : 9780262370035 |
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How biomedical research using various animal species and in vitro cellular systems has resulted in both major successes and translational failure. In Model Systems in Biology, comparative neurobiologist Georg Striedter examines how biomedical researchers have used animal species and in vitro cellular systems to understand and develop treatments for human diseases ranging from cancer and polio to Alzheimer’s disease and schizophrenia. Although there have been some major successes, much of this “translational” research on model systems has failed to generalize to humans. Striedter explores the history of such research, focusing on the models used and considering the question of model selection from a variety of perspectives—the philosophical, the historical, and that of practicing biologists. Striedter reviews some philosophical concepts and ethical issues, including concerns over animal suffering and the compromises that result. He traces the history of the most widely used animal and in vitro models, describing how they compete with one another in a changing ecosystem of models. He examines how therapies for bacterial and viral infections, cancer, cardiovascular diseases, and neurological disorders have been developed using animal and cell culture models—and how research into these diseases has both taken advantage of and been hindered by model system differences. Finally, Striedter argues for a “big tent” biology, in which a diverse set of models and research strategies can coexist productively.