Download or read book Quantitative Methods for Precision Medicine written by Rongling Wu and published by CRC Press. This book was released on 2022-12-26 with total page 307 pages. Available in PDF, EPUB and Kindle. Book excerpt: Modern medicine is undergoing a paradigm shift from a "one-size-fits-all" strategy to a more precise patient-customized therapy and medication plan. While the success of precision medicine relies on the level of pharmacogenomic knowledge, dissecting the genetic mechanisms of drug response in a sufficient detail requires powerful computational tools. Quantitative Methods for Precision Medicine: Pharmacogenomics in Action presents the advanced statistical methods for mapping pharmacogenetic control by integrating pharmacokinetic and pharmacodynamic principles of drug-body interactions. Beyond traditional reductionist-based statistical genetic approaches, statistical formulization in this book synthesizes elements of multiple disciplines to infer, visualize, and track how pharmacogenes interact together as an intricate but well-coordinated system to mediate patient-specific drug response. Features: Functional and systems mapping models to characterize the genetic architecture of multiple medication processes Statistical methods for analyzing informative missing data in pharmacogenetic association studies Functional graph theory of inferring genetic interaction networks from association data Leveraging the concept of epistasis to capture its bidirectional, signed and weighted properties Modeling gene-induced cell-cell crosstalk and its impact on drug response A graph model of drug-drug interactions in combination therapies Critical methodological issues to improve pharmacogenomic research as the cornerstone of precision medicine This book is suitable for graduate students and researchers in the fields of biology, medicine, bioinformatics and drug design and delivery who are interested in statistical and computational modelling of biological processes and systems. It may also serve as a major reference for applied mathematicians, computer scientists, and statisticians who attempt to develop algorithmic tools for genetic mapping, systems pharmacogenomics and systems biology. It can be used as both a textbook and research reference. Professionals in pharmaceutical sectors who design drugs and clinical doctors who deliver drugs will also find it useful.
Download or read book Precision Medicine written by Hans-Peter Deigner and published by Academic Press. This book was released on 2018-02-15 with total page 376 pages. Available in PDF, EPUB and Kindle. Book excerpt: Precision Medicine: Tools and Quantitative Approaches discusses precision and personalized medicine, two relevant topics that are revolutionizing diagnostics and treatment, while also providing a shift toward prevention. The book covers the most relevant features and explanations underlying developments in the field. A timely review on prerequisites, causes and consequences is given. Unique to this book is a combined view on technical and data analysis aspects that is mandatory for obtaining and interpreting results. This book is a valuable source for researchers in medical and life sciences, physicians and students with an interest in this emerging field of precision medicine. - Provides technological aspects in precision medicine with aspects of modern statistical and bioinformatics models and methods - Brings timely reviews on status and chances in precision medicine and associated aspects of data analysis, statistics and data interpretation - Encompasses easy access to relevant approaches, interactions and original literature
Download or read book Quantitative Methods for Precision Medicine written by Rongling Wu and published by CRC Press. This book was released on 2022-12-26 with total page 288 pages. Available in PDF, EPUB and Kindle. Book excerpt: Modern medicine is undergoing a paradigm shift from a "one-size-fits-all" strategy to a more precise patient-customized therapy and medication plan. While the success of precision medicine relies on the level of pharmacogenomic knowledge, dissecting the genetic mechanisms of drug response in a sufficient detail requires powerful computational tools. Quantitative Methods for Precision Medicine: Pharmacogenomics in Action presents the advanced statistical methods for mapping pharmacogenetic control by integrating pharmacokinetic and pharmacodynamic principles of drug-body interactions. Beyond traditional reductionist-based statistical genetic approaches, statistical formulization in this book synthesizes elements of multiple disciplines to infer, visualize, and track how pharmacogenes interact together as an intricate but well-coordinated system to mediate patient-specific drug response. Features: Functional and systems mapping models to characterize the genetic architecture of multiple medication processes Statistical methods for analyzing informative missing data in pharmacogenetic association studies Functional graph theory of inferring genetic interaction networks from association data Leveraging the concept of epistasis to capture its bidirectional, signed and weighted properties Modeling gene-induced cell-cell crosstalk and its impact on drug response A graph model of drug-drug interactions in combination therapies Critical methodological issues to improve pharmacogenomic research as the cornerstone of precision medicine This book is suitable for graduate students and researchers in the fields of biology, medicine, bioinformatics and drug design and delivery who are interested in statistical and computational modelling of biological processes and systems. It may also serve as a major reference for applied mathematicians, computer scientists, and statisticians who attempt to develop algorithmic tools for genetic mapping, systems pharmacogenomics and systems biology. It can be used as both a textbook and research reference. Professionals in pharmaceutical sectors who design drugs and clinical doctors who deliver drugs will also find it useful.
Download or read book Dynamic Treatment Regimes written by Anastasios A. Tsiatis and published by CRC Press. This book was released on 2019-12-19 with total page 602 pages. Available in PDF, EPUB and Kindle. Book excerpt: Dynamic Treatment Regimes: Statistical Methods for Precision Medicine provides a comprehensive introduction to statistical methodology for the evaluation and discovery of dynamic treatment regimes from data. Researchers and graduate students in statistics, data science, and related quantitative disciplines with a background in probability and statistical inference and popular statistical modeling techniques will be prepared for further study of this rapidly evolving field. A dynamic treatment regime is a set of sequential decision rules, each corresponding to a key decision point in a disease or disorder process, where each rule takes as input patient information and returns the treatment option he or she should receive. Thus, a treatment regime formalizes how a clinician synthesizes patient information and selects treatments in practice. Treatment regimes are of obvious relevance to precision medicine, which involves tailoring treatment selection to patient characteristics in an evidence-based way. Of critical importance to precision medicine is estimation of an optimal treatment regime, one that, if used to select treatments for the patient population, would lead to the most beneficial outcome on average. Key methods for estimation of an optimal treatment regime from data are motivated and described in detail. A dedicated companion website presents full accounts of application of the methods using a comprehensive R package developed by the authors. The authors’ website www.dtr-book.com includes updates, corrections, new papers, and links to useful websites.
Download or read book Dynamic Treatment Regimes written by Anastasios A. Tsiatis and published by CRC Press. This book was released on 2019-12-10 with total page 602 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Precision medicine seeks to use data to construct principled, i.e., evidence-based, treatment strategies that dictate where, when, and to whom treatment should be applied. This book provides an accessible yet comprehensive introduction to statistical methodology for dynamic treatment regimes"--
Download or read book Precision Medicine in Oncology written by Bulent Aydogan and published by John Wiley & Sons. This book was released on 2020-11-02 with total page 288 pages. Available in PDF, EPUB and Kindle. Book excerpt: A FRESH EXAMINATION OF PRECISION MEDICINE'S INCREASINGLY PROMINENT ROLE IN THE FIELD OF ONCOLOGY Precision medicine takes into account each patient's specific characteristics and requirements to arrive at treatment plans that are optimized towards the best possible outcome. As the field of oncology continues to advance, this tailored approach is becoming more and more prevalent, channelling data on genomics, proteomics, metabolomics and other areas into new and innovative methods of practice. Precision Medicine in Oncology draws together the essential research driving the field forward, providing oncology clinicians and trainees alike with an illuminating overview of the technology and thinking behind the breakthroughs currently being made. Topics covered include: Biologically-guided radiation therapy Informatics for precision medicine Molecular imaging Biomarkers for treatment assessment Big data Nanoplatforms Casting a spotlight on this emerging knowledge base and its impact upon the management of tumors, Precision Medicine in Oncology opens up new possibilities and ways of working – not only for oncologists, but also for molecular biologists, radiologists, medical geneticists, and others.
Download or read book Progress and Challenges in Precision Medicine written by Mukesh Verma and published by Academic Press. This book was released on 2016-12-22 with total page 346 pages. Available in PDF, EPUB and Kindle. Book excerpt: Progress and Challenges in Precision Medicine presents an insightful overview to the myriad factors of personalized and precision medicine. The availability of the human genome, large amounts of data on individual genetic variations, environmental interactions, influence of lifestyle, and cutting-edge tools and technologies for big-data analysis have led to the age of personalized and precision medicine. Bringing together a global range of experts on precision medicine, this book collects previously scattered information into one concise volume which covers the most important developments so far in precision medicine and also suggests the most likely avenues for future development. The book includes clinical information, informatics, public policy implications, and information on case studies. It is a useful reference and background work for students, researchers, and clinicians working in the biomedical and medical fields, as well as policymakers in the health sciences. - Provides an overview of the growing field of precision medicine - Contains chapters from geographically diverse experts in their field - Explores important aspects of precision medicine, including applications, ethics, and development
Download or read book Toward Precision Medicine written by National Research Council and published by National Academies Press. This book was released on 2012-01-16 with total page 142 pages. Available in PDF, EPUB and Kindle. Book excerpt: Motivated by the explosion of molecular data on humans-particularly data associated with individual patients-and the sense that there are large, as-yet-untapped opportunities to use this data to improve health outcomes, Toward Precision Medicine explores the feasibility and need for "a new taxonomy of human disease based on molecular biology" and develops a potential framework for creating one. The book says that a new data network that integrates emerging research on the molecular makeup of diseases with clinical data on individual patients could drive the development of a more accurate classification of diseases and ultimately enhance diagnosis and treatment. The "new taxonomy" that emerges would define diseases by their underlying molecular causes and other factors in addition to their traditional physical signs and symptoms. The book adds that the new data network could also improve biomedical research by enabling scientists to access patients' information during treatment while still protecting their rights. This would allow the marriage of molecular research and clinical data at the point of care, as opposed to research information continuing to reside primarily in academia. Toward Precision Medicine notes that moving toward individualized medicine requires that researchers and health care providers have access to very large sets of health- and disease-related data linked to individual patients. These data are also critical for developing the information commons, the knowledge network of disease, and ultimately the new taxonomy.
Download or read book Personalizing Precision Medicine written by Kristin Ciriello Pothier and published by John Wiley & Sons. This book was released on 2017-10-02 with total page 278 pages. Available in PDF, EPUB and Kindle. Book excerpt: The author uses decades of experience and interviews with experts in precision medicine to explain past, present, and future of precision medicine. She reviews the full continuum of personalizing precision medicine, including diagnostics, therapeutics, big data, supportive care, regulation, and reimbursement and innovation in precision medicine worldwide. • Combines a unique cross section of history, current technologies, and future directions for how precision medicine has and will affect people worldwide • Reviews precision medicine around the world, including the US, China, Japan, the Middle East, India, Europe, and Latin America • Discusses a number of diseases areas – cancer, cardiovascular, neurodegenerative, infectious disease, pain, immunology, rare diseases • Includes information and quotes from over 100 interviews with key industry experts in biotech, pharma, informatics, diagnostics, health providers, advocacy groups, and more. • Includes stories illustrating current issues and future promises in precision medicine for a human touch
Download or read book Adaptive Treatment Strategies in Practice Planning Trials and Analyzing Data for Personalized Medicine written by Michael R. Kosorok and published by SIAM. This book was released on 2015-12-08 with total page 348 pages. Available in PDF, EPUB and Kindle. Book excerpt: Personalized medicine is a medical paradigm that emphasizes systematic use of individual patient information to optimize that patient's health care, particularly in managing chronic conditions and treating cancer. In the statistical literature, sequential decision making is known as an adaptive treatment strategy (ATS) or a dynamic treatment regime (DTR). The field of DTRs emerges at the interface of statistics, machine learning, and biomedical science to provide a data-driven framework for precision medicine. The authors provide a learning-by-seeing approach to the development of ATSs, aimed at a broad audience of health researchers. All estimation procedures used are described in sufficient heuristic and technical detail so that less quantitative readers can understand the broad principles underlying the approaches. At the same time, more quantitative readers can implement these practices. This book provides the most up-to-date summary of the current state of the statistical research in personalized medicine; contains chapters by leaders in the area from both the statistics and computer sciences fields; and also contains a range of practical advice, introductory and expository materials, and case studies.
Download or read book Detection Methods in Precision Medicine written by Mengsu Yang and published by Royal Society of Chemistry. This book was released on 2020-12-14 with total page 389 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book will be among the first to cover the detection methods for precision medicine that are set to transform health care in the future.
Download or read book The Foundation of Precision Medicine Integration of Electronic Health Records with Genomics Through Basic Clinical and Translational Research written by Mariza de Andrade and published by Frontiers Media SA. This book was released on 2016-06-30 with total page 196 pages. Available in PDF, EPUB and Kindle. Book excerpt: This eBook contains the 19 articles that were part of a Special Topic in Frontiers in Genetics entitled “Genetics Research in Electronic Health Records Linked to DNA Biobanks”. The Special Issue was published on-line in 2014-2015 and contained papers representing the diverse research ongoing in the integration of electronic health records (EHR) with genomics through basic, clinical, and translational research. We have divided the eBook into four Chapters. Chapter 1 describes the Electronic Medical Records and Genomics (eMERGE) network and its contri-bution to genomics. It highlights methodological questions related to large data sets such as imputation and population stratification. Chapter 2 describes the results of genetic studies on different diseases for which all the phenotypic information was extracted from the EHR with highly specific ePhenotyping algorithms. Chapter 3 focuses on more complex analyses of the genome including copy number variants (CNV), pleiotropy com-bined with phenome-wide association studies (PheWAS), and epistasis (gene-gene interactions). Chapter 4 discusses the use of genetic data together with EHR-derived clinical data in clinical settings, and how to return genetic results to patients and providers. It also contains a comprehensive review on genetic risk scores. We have included mostly Original Research Articles in the eBook, but also Reviews and Methods papers on the relevant topics of analyzing and integrating genomic data. The release of this eBook is timely, since several countries are launching Precision Medicine initiatives. Precision Medicine is a new concept in patient care taking into account individual variability in genetic, environmental and lifestyle factors, when treating diseases or trying to prevent them from developing. It has become an important focus for biomedical, clinical and translational informatics. The papers presented in this eBook are well positioned to educate the readers about Precision Medicine and to demonstrate the potential study designs, methods, strategies, and applications where this type of research can be performed successfully. The ultimate goal is to improve diagnostics and provide better, more targeted care to the patient.
Download or read book Advancing Disease Modeling in Animal Based Research in Support of Precision Medicine written by National Academies of Sciences, Engineering, and Medicine and published by National Academies Press. This book was released on 2018-06-29 with total page 139 pages. Available in PDF, EPUB and Kindle. Book excerpt: Precision medicine is focused on the individual and will require the rapid and accurate identification and prioritization of causative factors of disease. To move forward and accelerate the delivery of the anticipated benefits of precision medicine, developing predictable, reproducible, and reliable animal models will be essential. In order to explore the topic of animal-based research and its relevance to precision medicine, the National Academies of Sciences, Engineering, and Medicine convened a 2-day workshop on October 5 and 6, 2017. The workshop was designed to focus on the development, implementation, and interpretation of model organisms to advance and accelerate the field of precision medicine. Participants examined the extent to which next-generation animal models, designed using patient data and phenotyping platforms targeted to reveal and inform disease mechanisms, will be essential to the successful implementation of precision medicine. This publication summarizes the presentations and discussions from the workshop.
Download or read book Essentials of Cancer Genomic Computational Approaches and Precision Medicine written by Nosheen Masood and published by Springer Nature. This book was released on 2020-03-20 with total page 499 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book concisely describes the role of omics in precision medicine for cancer therapies. It outlines our current understanding of cancer genomics, shares insights into the process of oncogenesis, and discusses emerging technologies and clinical applications of cancer genomics in prognosis and precision-medicine treatment strategies. It then elaborates on recent advances concerning transcriptomics and translational genomics in cancer diagnosis, clinical applications, and personalized medicine in oncology. Importantly, it also explains the importance of high-performance analytics, predictive modeling, and system biology in cancer research. Lastly, the book discusses current and potential future applications of pharmacogenomics in clinical cancer therapy and cancer drug development.
Download or read book Machine Learning Advanced Dynamic Omics Data Analysis for Precision Medicine written by Tao Zeng and published by Frontiers Media SA. This book was released on 2020-03-30 with total page 393 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Precision Medicine written by Tao Huang and published by Humana. This book was released on 2021-08-08 with total page 226 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book serves to introduce the technologies and applications of precision medicine. Beginning with a section on emerging experimental and bioinformatics technologies, the collection continues with chapters covering cancer studies, cardiovascular diseases, COPD and systemic lupus erythematosus, as well as the latest engineering and surgical developments in precision medicine. As a volume in the highly successful Methods in Molecular Biology series, this book presents key information from experts in the field. Authoritative and cutting-edge, Precision Medicine covers perspectives of precision medicine from basic research to clinical surgeries, from cancer to cardiovascular disease, from sequencing technology to big data analysis in the hope of broadening the horizons for researchers, engineers, and clinicians and accelerating the interdisciplinary precision medicine research and applications.
Download or read book Translational Biomedical Informatics written by Bairong Shen and published by Springer. This book was released on 2016-10-31 with total page 331 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book introduces readers to essential methods and applications in translational biomedical informatics, which include biomedical big data, cloud computing and algorithms for understanding omics data, imaging data, electronic health records and public health data. The storage, retrieval, mining and knowledge discovery of biomedical big data will be among the key challenges for future translational research. The paradigm for precision medicine and healthcare needs to integratively analyze not only the data at the same level – e.g. different omics data at the molecular level – but also data from different levels – the molecular, cellular, tissue, clinical and public health level. This book discusses the following major aspects: the structure of cross-level data; clinical patient information and its shareability; and standardization and privacy. It offers a valuable guide for all biologists, biomedical informaticians and clinicians with an interest in Precision Medicine Informatics.
