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Advances in Molecular Pathology, 2024
Advances in Molecular Pathology reviews the year's most important findings and updates within the field in order to provide practitioners with the current clinical information they need to improve patient outcomes. A distinguished editorial board identifies key areas of major progress and controversy and invites preeminent specialists to contribute original articles devoted to these topics. These insightful overviews in molecular pathology inform and enhance clinical practice by bringing concepts to a clinical level and exploring their everyday impact on patient care. - Contains 24 articles on such topics as chronic myelomonocytic leukemia; antimicrobial resistance marker detection and clinical interpretation/limitations; DPYD and the congenital DPD deficiency; FHIR genomic operations; AI in genomics; clinical value of molecular LDTs; and more. - Provides in-depth, clinical reviews in molecular pathology, providing actionable insights for clinical practice. - Presents the latest information in the field under the leadership of an experienced editorial team. Authors synthesize and distill the latest research and practice guidelines to create these timely topic-based reviews.
Practical Text Mining and Statistical Analysis for Non-structured Text Data Applications
Practical Text Mining and Statistical Analysis for Non-structured Text Data Applications brings together all the information, tools and methods a professional will need to efficiently use text mining applications and statistical analysis. Winner of a 2012 PROSE Award in Computing and Information Sciences from the Association of American Publishers, this book presents a comprehensive how-to reference that shows the user how to conduct text mining and statistically analyze results. In addition to providing an in-depth examination of core text mining and link detection tools, methods and operations, the book examines advanced preprocessing techniques, knowledge representation considerations, an...
Personalized Health and Precision Medicine in Practice
So-called personalized health and precision medicine consist of a plethora of distinct endeavors. Ranging from pharmacogenomics to big data medicine, these endeavors are set out to tailor treatment and prevention to different combinations of data on the biological, behavioral, social, and environmental determinants of health. Currently reaching the trial of implementation across a diverse range of local and national contexts, these innovations call for a thorough empirical scrutiny of the normative, practical, and technical reconfigurations that they engender. Personalized/precision approaches to medicine demand substantive, normative work that consists in reforming social contracts in healthcare, and in ensuring a consistent commitment to change from both institutional actors and citizens.
Handbook of Statistical Analysis and Data Mining Applications
The Handbook of Statistical Analysis and Data Mining Applications is a comprehensive professional reference book that guides business analysts, scientists, engineers and researchers (both academic and industrial) through all stages of data analysis, model building and implementation. The Handbook helps one discern the technical and business problem, understand the strengths and weaknesses of modern data mining algorithms, and employ the right statistical methods for practical application. Use this book to address massive and complex datasets with novel statistical approaches and be able to objectively evaluate analyses and solutions. It has clear, intuitive explanations of the principles and...
Health Informatics Meets EHealth
Ineffective discharge management can jeopardize the successful completion of hospital treatment; but a well managed transition from hospital care to care at home depends on the efficient exchange of information with out-patient healthcare providers and professionals. This is just one way in which ICT can support healthcare and provide tools which help health professions to identify and communicate relevant data. Such tools will be increasingly important in future healthcare systems, and indeed a Europe-wide ICT infrastructure for information and data exchange may do much to revolutionize the quality of healthcare. It is therefore essential that infrastructures build on well-established stand...
Multi-Sector Analysis of the Digital Healthcare Industry
In the wake of the digital healthcare revolution, a critical challenge has emerged: the lack of a comprehensive understanding stemming from fragmented research. Despite the industry's meteoric rise, existing literature often compartmentalizes insights, neglecting the intricate multi-sector collaborations that fuel its progress. This gap hinders scholars and industry professionals, leaving them with a myopic view of the digital healthcare landscape. The urgent need for a holistic exploration has never been more apparent. Multi-Sector Analysis of the Digital Healthcare Industry is a groundbreaking book that will uncover the complexities of digital healthcare with a panoramic lens. This carefully curated collection of cross-functional chapters is a beacon guiding academics and industry specialists through the difficulties of the industry's past, present, and future. With experts from fields spanning medicine, technology, business, and regulatory sectors, this book addresses the limitations of current research but serves as a compass for those seeking a more profound comprehension of digital healthcare's collaborative dynamics.
Advances in Molecular Pathology 2019
This issue of Advances in Molecular Pathology will provide a comprehensive review of the most current practices, trends, and developments in the field of Molecular Pathology. Publishing on an annual basis, the volume will be divided into 7 sections: Genetics, Hematopathology, Infectious Disease, Pharmacogenomics, Informatics, Solid tumors, and Identity/HLA. Led by Dr. Gregory Tsongalis of Dartmouth University, a team of experienced pathologists from institutions across the country oversee annual topic and expert author selection.
Clinical Decision Support for Pharmacogenomic Precision Medicine
Clinical Decision Support for Pharmacogenomic Precision Medicine: Foundations and Implementation offers overviews, methods and strategies for translating genomic medicine to clinical practice. The book's authors explore incorporating pharmacogenetics into electronic health records, CDS methods and infrastructure for delivery, economic evaluation, the hospital administrations' role and needs in integration, and patient counseling aspects. The book empowers clinicians, researchers, translational scientists, and data and IT experts to effectively navigate the complex landscape of CDS for pharmacogenomic precision medicine. Illustrative case studies of existing gene networks include CSER, eMERGE, the IGNITE network, DIGITIZE, the CDS Learning Network (RTI), ClinGen, Ubiquitous and CDS Hooks. - Offers an applied, case-driven discussion of CDS for pharmacogenomic precision medicine - Illustrates key concepts, contemporary developments, and future directions using examples of existing gene networks - Features contributions from leading voices in precision medicine and clinical decision support
The Great Snow
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