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Author: Institute of Medicine Publisher: National Academies Press ISBN: 0309224187 Category : Science Languages : en Pages : 354
Book Description
Technologies collectively called omics enable simultaneous measurement of an enormous number of biomolecules; for example, genomics investigates thousands of DNA sequences, and proteomics examines large numbers of proteins. Scientists are using these technologies to develop innovative tests to detect disease and to predict a patient's likelihood of responding to specific drugs. Following a recent case involving premature use of omics-based tests in cancer clinical trials at Duke University, the NCI requested that the IOM establish a committee to recommend ways to strengthen omics-based test development and evaluation. This report identifies best practices to enhance development, evaluation, and translation of omics-based tests while simultaneously reinforcing steps to ensure that these tests are appropriately assessed for scientific validity before they are used to guide patient treatment in clinical trials.
Author: Institute of Medicine Publisher: National Academies Press ISBN: 0309224187 Category : Science Languages : en Pages : 354
Book Description
Technologies collectively called omics enable simultaneous measurement of an enormous number of biomolecules; for example, genomics investigates thousands of DNA sequences, and proteomics examines large numbers of proteins. Scientists are using these technologies to develop innovative tests to detect disease and to predict a patient's likelihood of responding to specific drugs. Following a recent case involving premature use of omics-based tests in cancer clinical trials at Duke University, the NCI requested that the IOM establish a committee to recommend ways to strengthen omics-based test development and evaluation. This report identifies best practices to enhance development, evaluation, and translation of omics-based tests while simultaneously reinforcing steps to ensure that these tests are appropriately assessed for scientific validity before they are used to guide patient treatment in clinical trials.
Author: Greco Hernández Publisher: Springer ISBN: 3319394681 Category : Science Languages : en Pages : 564
Book Description
The “omics” era has given a new perspective to the findings on the origin and evolution of the process of translation. This book provides insight into the evolution of the translation process and machinery from a modern perspective. Written by leading experts in molecular biology, this text looks into the origins and evolution of the protein synthetic machinery.
Author: Martin Wehling Publisher: Academic Press ISBN: 0128007214 Category : Science Languages : en Pages : 364
Book Description
Principles of Translational Science in Medicine: From Bench to Bedside, Second Edition, provides an update on major achievements in the translation of research into medically relevant results and therapeutics. The book presents a thorough discussion of biomarkers, early human trials, and networking models, and includes institutional and industrial support systems. It also covers algorithms that have influenced all major areas of biomedical research in recent years, resulting in an increasing numbers of new chemical/biological entities (NCEs or NBEs) as shown in FDA statistics. The book is ideal for use as a guide for biomedical scientists to establish a systematic approach to translational medicine. Provides an in-depth description of novel tools for the assessment of translatability of trials to balance risk and improve projects at any given stage of product development New chapters deal with translational issues in the fastest growing population (the elderly), case studies, translatability assessment tools, and advances in nanotherapies Details IPR issues of translation, especially for public-private-partnerships Contains contributions from world leaders in translational medicine, including the former NIH director and authorities from various European regulatory institutions
Author: Yu Liu Publisher: CRC Press ISBN: 1482262436 Category : Science Languages : en Pages : 464
Book Description
This title includes a number of Open Access chapters. This book serves as an introduction to genomics, proteomics, and transcriptomics, putting these fields in relation to human disease and ailments. The various chapters consider the role of translation and personalized medicine, as well as pathogen detection, evolution, and infection, in relation to genomics, proteomics, and transcriptomics. The topic of companion diagnostics is also covered. The book is broken into five sections. Part I examines the connection between omics and human disease. Part II looks at the applications for the fields of translational and personalized medicine. Part III focuses on molecular and genetic markers. Part IV describes the use of omics while studying pathogens, and Part V examines the applications for companion diagnostics. The book: • Introduces genomics, proteomics, and transcriptomics in relation to human disease and ailments • Considers the role of translation and personalized medicine in relation to genomics, proteomics, and transcriptomics • Covers molecular and genetic markers • Considers the role of genomics, proteomics, and transcriptomics in relation to pathogen detection, evolution, and infection • Covers companion diagnostics in relation to genomics, proteomics, and transcriptomics clinical applications and research
Author: José A. Horcajadas Publisher: Academic Press ISBN: 0128126760 Category : Medical Languages : en Pages : 425
Book Description
Recent advances in genomic and omics analysis have triggered a revolution affecting nearly every field of medicine, including reproductive medicine, obstetrics, gynecology, andrology, and infertility treatment. Reproductomics: The –Omics Revolution and Its Impact on Human Reproductive Medicine demonstrates how various omics technologies are already aiding fertility specialists and clinicians in characterizing patients, counseling couples towards pregnancy success, informing embryo selection, and supporting many other positive outcomes. A diverse range of chapters from international experts examine the complex relationship between genomics, transcriptomics, proteomics, and metabolomics and their role in human reproduction, identifying molecular factors of clinical significance. With this book Editors Jaime Gosálvez and José A. Horcajadas have provided researchers and clinicians with a strong foundation for a new era of personalized reproductive medicine. Thoroughly discusses how genomics and other omics approaches aid clinicians in various areas of reproductive medicine Identifies specific genomic and molecular factors of translational value in treating infertility and analyzing patient data Features chapter contributions by leading international experts
Author: Dhavendra Kumar Publisher: Academic Press ISBN: 0127999221 Category : Science Languages : en Pages : 358
Book Description
Medical and Health Genomics provides concise and evidence-based technical and practical information on the applied and translational aspects of genome sciences and the technologies related to non-clinical medicine and public health. Coverage is based on evolving paradigms of genomic medicine—in particular, the relation to public and population health genomics now being rapidly incorporated in health management and administration, with further implications for clinical population and disease management. Provides extensive coverage of the emergent field of health genomics and its huge relevance to healthcare management Presents user-friendly language accompanied by explanatory diagrams, figures, and many references for further study Covers the applied, but non-clinical, sciences across disease discovery, genetic analysis, genetic screening, and prevention and management Details the impact of clinical genomics across a diverse array of public and community health issues, and within a variety of global healthcare systems
Author: National Academies of Sciences, Engineering, and Medicine Publisher: National Academies Press ISBN: 0309391253 Category : Science Languages : en Pages : 327
Book Description
The integrity of knowledge that emerges from research is based on individual and collective adherence to core values of objectivity, honesty, openness, fairness, accountability, and stewardship. Integrity in science means that the organizations in which research is conducted encourage those involved to exemplify these values in every step of the research process. Understanding the dynamics that support â€" or distort â€" practices that uphold the integrity of research by all participants ensures that the research enterprise advances knowledge. The 1992 report Responsible Science: Ensuring the Integrity of the Research Process evaluated issues related to scientific responsibility and the conduct of research. It provided a valuable service in describing and analyzing a very complicated set of issues, and has served as a crucial basis for thinking about research integrity for more than two decades. However, as experience has accumulated with various forms of research misconduct, detrimental research practices, and other forms of misconduct, as subsequent empirical research has revealed more about the nature of scientific misconduct, and because technological and social changes have altered the environment in which science is conducted, it is clear that the framework established more than two decades ago needs to be updated. Responsible Science served as a valuable benchmark to set the context for this most recent analysis and to help guide the committee's thought process. Fostering Integrity in Research identifies best practices in research and recommends practical options for discouraging and addressing research misconduct and detrimental research practices.
Author: Publisher: Academic Press ISBN: 0323898904 Category : Business & Economics Languages : en Pages : 254
Book Description
Translational Bioinformatics in Healthcare and Medicine offers an overview of main principles of bioinformatics, biological databases, clinical informatics, health informatics, viroinformatics and real-case applications of translational bioinformatics in healthcare. Written by experts from both technology and clinical sides, the content brings together essential knowledge to make the best of recent advancements of the field. The book discusses topics such as next generation sequence analysis, genomics in clinical care, IoT applications, blockchain technology, patient centered interoperability of EHR, health data mining, and translational bioinformatics methods for drug discovery and drug repurposing. In addition, it discusses the role of bioinformatics in cancer research and viroinformatics approaches to counter viral diseases through informatics. This is a valuable resource for bioinformaticians, clinicians, healthcare professionals, graduate students and several members of biomedical field who are interested in learning more about how bioinformatics can impact in their research and practice. Covers recent advancements in translational bioinformatics and its healthcare applications Discusses integrative and multidisciplinary approaches to U-healthcare systems development and management Bridges the gap among various knowledge domains in the field, integrating both technological and clinical knowledge into practical content
Author: Sukanta Mondal Publisher: Academic Press ISBN: 0128206128 Category : Science Languages : en Pages : 340
Book Description
Advances in Animal Genomics provides an outstanding collection of integrated strategies involving traditional and modern - omics (structural, functional, comparative and epigenomics) approaches and genomics-assisted breeding methods which animal biotechnologists can utilize to dissect and decode the molecular and gene regulatory networks involved in the complex quantitative yield and stress tolerance traits in livestock. Written by international experts on animal genomics, this book explores the recent advances in high-throughput, next-generation whole genome and transcriptome sequencing, array-based genotyping, and modern bioinformatics approaches which have enabled to produce huge genomic and transcriptomic resources globally on a genome-wide scale. This book is an important resource for researchers, students, educators and professionals in agriculture, veterinary and biotechnology sciences that enables them to solve problems regarding sustainable development with the help of current innovative biotechnologies. Integrates basic and advanced concepts of animal biotechnology and presents future developments Describes current high-throughput next-generation whole genome and transcriptome sequencing, array-based genotyping, and modern bioinformatics approaches for sustainable livestock production Illustrates integrated strategies to dissect and decode the molecular and gene regulatory networks involved in complex quantitative yield and stress tolerance traits in livestock Ensures readers will gain a strong grasp of biotechnology for sustainable livestock production with its well-illustrated discussion
Author: Gary Hardiman Publisher: MDPI ISBN: 3039287443 Category : Science Languages : en Pages : 202
Book Description
A “genotype" is essentially an organism's full hereditary information which is obtained from its parents. A "phenotype" is an organism's actual observed physical and behavioral properties. These may include traits such as morphology, size, height, eye color, metabolism, etc. One of the pressing challenges in computational and systems biology is genotype-to-phenotype prediction. This is challenging given the amount of data generated by modern Omics technologies. This “Big Data” is so large and complex that traditional data processing applications are not up to the task. Challenges arise in collection, analysis, mining, sharing, transfer, visualization, archiving, and integration of these data. In this Special Issue, there is a focus on the systems-level analysis of Omics data, recent developments in gene ontology annotation, and advances in biological pathways and network biology. The integration of Omics data with clinical and biomedical data using machine learning is explored. This Special Issue covers new methodologies in the context of gene–environment interactions, tissue-specific gene expression, and how external factors or host genetics impact the microbiome.
Author: Institute of Medicine
Author: Institute of Medicine
Author: Greco Hernández
Author: Martin Wehling
Author: Yu Liu
Author: José A. Horcajadas
Author: Dhavendra Kumar
Author: National Academies of Sciences, Engineering, and Medicine
Author: 
Author: Sukanta Mondal
Author: Gary Hardiman