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Books in Bioinformatics and computational biology

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    • Artificial Intelligence Based Primary Care

      • 1st Edition
      • April 1, 2026
      • Anthony C. Chang + 5 more
      • English
      • Paperback
        9 7 8 0 4 4 3 2 4 1 2 4 6
      • eBook
        9 7 8 0 4 4 3 2 4 1 2 3 9
      Artificial Intelligence Based Primary Care: Artificial Intelligence and Human Cognition in General Practice and Family Medicine provides a comprehensive look into the integration of artificial intelligence within primary care. This book aims to bridge the gap between data scientists and primary care clinicians by presenting potential AI applications, implementation challenges, and real-world clinical scenarios in an accessible manner. Comprised of 5 sections and 20 chapters, it offers both theoretical insights and practical guidance for family medicine practitioners.Additi... the book includes a chapter dedicated to a day in the life of a General Practitioner, showcasing the practical impact of AI. It also features an extra compendium listing the Top 100 articles and best books on Artificial Intelligence. This resource is invaluable for academics, researchers, and clinicians eager to expand their knowledge in this emerging field.

    • Healthcare Applications of Neuro-Symbolic Artificial Intelligence

      • 1st Edition
      • August 19, 2025
      • Boris Galitsky
      • English
      • Paperback
        9 7 8 0 4 4 3 3 0 0 4 6 2
      • eBook
        9 7 8 0 4 4 3 3 0 0 4 7 9
      Healthcare Applications of Neuro-Symbolic Artificial Intelligence provides a comprehensive introduction to the field of neuro-symbolic (NS) artificial intelligence (AI), presenting the most recent advances in deep learning and integration of NS systems and large language models (LLMs). This book evaluates traditional approaches, current approaches, as well as the author’s own approach to NS, to create hybrid architectures and reasoning techniques to overcome the limitations of most existing AI systems such as deep learning, neural networks, and symbolic AI.This book will be a welcome resource for researchers and graduate students in AI, natural language processing, and biomedical informatics, as well as professionals in software development looking to redesign current systems to leverage LLMs through the health application of NS architecture.

    • Multi-Omics Technology in Human Health and Diseases

      • 1st Edition
      • March 17, 2025
      • Muzafar A Macha + 2 more
      • English
      • Paperback
        9 7 8 0 4 4 3 1 3 5 9 5 8
      • eBook
        9 7 8 0 4 4 3 1 3 5 9 6 5
      Multi-Omics Technology in Human Health and Diseases: Genomics, Epigenomics, Transcriptomics, Proteomics, Metabolomics, Radiomics, Multi-omic offers an advanced exploration into the comprehensive understanding of disease etiology and prognosis through multiomics approaches. This authoritative volume delves into the applications of multiomics technology in elucidating complex human health conditions and diseases. It introduces the technology's potential for biomarker identification, drug discovery, and disease prognostication. For a thorough understanding of human health and diseases, particularly cancer, it is essential to integrate knowledge of molecular biomarkers across multiple omics levels, including the genome, epigenome, transcriptome, proteome, and metabolome. This resource addresses the current gaps in knowledge among students and researchers, providing in-depth coverage of multiomics technology and its implementation in scientific research and discovery.Multi-Omic... Technology in Human Health and Diseases: Genomics, Epigenomics, Transcriptomics, Proteomics, Metabolomics, Radiomics, Multi-omics is a pioneering resource that presents cutting-edge information on contemporary multiomics technologies for big data interpretation and their applications in deciphering complex human pathobiology. This comprehensive guide is indispensable for researchers, academics, students, and industry professionals alike.

    • Genome Analysis

      • 1st Edition
      • October 31, 2025
      • Dev Bukhsh Singh + 1 more
      • English
      • Paperback
        9 7 8 0 4 4 3 2 1 9 8 0 1
      • eBook
        9 7 8 0 4 4 3 2 1 9 8 1 8
      Genome Analysis: Principles and Methods provides recent and advanced information about genome analysis approaches and techniques to study and annotate the structure and function of the genome. It is a compendium of important topics such as NGS analysis, genome fragmentation and assembly, metagenomics, cloning and expression, physical marker analysis, transcriptome data analysis, sequence alignment and comparison, evolutionary analysis, SNP analysis, genome-based disease diagnosis and therapies, micro-RNAs, pharmacogenomics, genetic approaches to disease intervention, and challenges with opportunities in genome analysis and genomics, etc.The latest developments in the field are discussed, and key concepts are introduced to ensure readers understand advanced concepts and methodologies in the area. The book serves as a valuable guide to the present, emerging, and evolving research methodologies in the field.

    • Digital Health Maturity: Quality, Interoperability, and Innovation

      • 1st Edition
      • August 28, 2025
      • Siaw-Teng Liaw + 3 more
      • English
      • Paperback
        9 7 8 0 3 2 3 9 5 2 6 0 6
      • eBook
        9 7 8 0 3 2 3 9 5 2 6 1 3
      Digital Health Maturity: Quality, Interoperability, and Innovation provides a roadmap to move from endless pilots and ad hoc system purchase to a systematic, stepwise, and integrated approach to increasing digital health capacity. Specific guidelines, tools, and use cases are discussed to show how the digital health maturity metamodel (DHM3) can be put into actual practice. The book discusses topics such as foundations of digital health and how to put them into practice; organizational considerations for implementation; and best practices, tools, and pitfalls to avoid. In addition, it discusses the future of digital transformation and the impact of a global adherence to digital health. It is a valuable resource for researchers, students, policy makers, governments and anyone who is interested in learning more about digital health and its benefits worldwide.

    • Next Generation eHealth

      • 1st Edition
      • September 30, 2024
      • Miltiadis Lytras + 3 more
      • English
      • Paperback
        9 7 8 0 4 4 3 1 3 6 1 9 1
      • eBook
        9 7 8 0 4 4 3 1 3 6 2 0 7
      Next Generation eHealth: Applied Data Science, Machine Learning and Extreme Computational Intelligence discusses the emergence, the impact, and the potential of sophisticated computational capabilities in healthcare. This book provides useful therapeutic targets to improve diagnosis, therapies, and prognosis of diseases, as well as helping with the establishment of better and more efficient next-generation medicine and medical systems. Machine learning as a field greatly contributes to next-generation medical research with the goal of improving medicine practices and medical Systems. As a contributing factor to better health outcomes, this book highlights the need for advanced training of professionals from various health areas, clinicians, educators, and social professionals who deal with patients. Content illustrates current issues and future promises as they pertain to all stakeholders, including informaticians, professionals in diagnostics, key industry experts in biotech, pharma, administrators, clinicians, patients, educators, students, health professionals, social scientists and legislators, health providers, advocacy groups, and more. With a focus on machine learning, deep learning, and neural networks, this volume communicates in an integrated, fresh, and novel way the impact of data science and computational intelligence to diverse audiences.

    • Concepts and Techniques in OMICS and System Biology

      • 1st Edition
      • August 13, 2024
      • Asmat Farooq + 5 more
      • English
      • Paperback
        9 7 8 0 4 4 3 2 1 9 2 3 8
      • eBook
        9 7 8 0 4 4 3 2 1 9 2 4 5
      Concepts and Techniques in OMICS and Systems Biology provides a concise and lucid account on the technical aspects of omics, system biology and their application in fields of different life science.With a strong focus on the fundamental principles understanding of metabolomics, ionomics and system biology, the book also gives an updated account on technical aspects of omics and system biology. Since both omics and systems biology fields are fast advancing filed of biological sciences, its significance and applications need to be understood from the baseline.In 10 chapters Concepts and Techniques in OMICS and Systems Biology introduces the reader to both Proteomics, Metabolomics and Ionomics, and System Biology, the technical applications, describes both the software in for proteomics as metabolomic enumeration and preludes Omics technologies and their applications.The chapters are designed in a well-defined chronology such that readers will understand the concepts and techniques involved in omics and system biology. This compilation will be ideal reading material for students, researchers and people working in the industries related to biological sciences.

    • Machine Learning Models and Architectures for Biomedical Signal Processing

      • 1st Edition
      • November 5, 2024
      • Suman Lata Tripathi + 3 more
      • English
      • Paperback
        9 7 8 0 4 4 3 2 2 1 5 8 3
      • eBook
        9 7 8 0 4 4 3 2 2 1 5 7 6
      Machine Learning Models and Architectures for Biomedical Signal Processing presents the fundamental concepts of machine learning techniques for bioinformatics in an interactive way. The book investigates how efficient machine and deep learning models can support high-speed processors with reconfigurable architectures like graphic processing units (GPUs), Field programmable gate arrays (FPGAs), or any hybrid system. This great resource will be of interest to researchers working to increase the efficiency of hardware and architecture design for biomedical signal processing and signal processing techniques.

    • The Physics of Protein Structure and Dynamics

      • 1st Edition
      • September 23, 2024
      • Reinhard Schweitzer-Stenner
      • English
      • Paperback
        9 7 8 0 4 4 3 1 5 9 6 4 0
      • eBook
        9 7 8 0 4 4 3 1 5 9 6 5 7
      The Physics of Protein Structure and Dynamics looks at various aspects of protein structure and dynamics from a physico-chemical point of view. It goes into some depth regarding the description of non-covalent forces that determine the relative stability of folded and unfolded proteins. Anharmonic protein dynamics involving motions between different minima of a rugged Gibbs energy landscape is described in great detail. The book combines various aspects of the protein folding/unfolding processes with an overview of intrinsically disordered proteins, which have attracted considerable interest of the protein community over the last 25 years but are thus far underrepresented in classroom-oriented textbooks. The book looks at protein folding and intrinsically disordered proteins as heavily interrelated topics that need to be viewed together. Furthermore, it presents some basic physico-chemical aspects of protein/peptide self-assembly into nanoscale fibrils. Intrinsically disordered peptides and proteins play a major role particularly in aggregation and self-assembly processes that lead to various diseases (Alzheimer, Parkinson, Huntington, Mad-Cow). Therefore, the relevance of protein disorder for protein self-assembly deserves a closer look. Protein self-assembly cannot be separated from protein folding since it is frequently the product of misfolding. With regard to modern theories, the folding processes are linked to insights on protein dynamics and the discovered relationship between proteins and spin glasses.

    • Planning, Writing and Reviewing Medical Device Clinical and Performance Evaluation Reports (CERs/PERs)

      • 1st Edition
      • September 19, 2024
      • Joy Frestedt
      • English
      • Paperback
        9 7 8 0 4 4 3 2 2 0 6 3 0
      • eBook
        9 7 8 0 4 4 3 2 2 0 6 4 7
      A Practical Guide to Planning, Writing, and Reviewing Medical Device Clinical Evaluation Reports guides readers through clinical data evaluation of medical devices that is in compliance with the EU MDR requirements and other similar regulatory requirements throughout the world. This book brings together knowledge learned as the author constructed hundreds of CERs and taught thousands of learners on how to conduct clinical data evaluations. This book will support training for clinical engineers, clinical evaluation scientists, and experts reviewing medical device CERs, and will help individual writers, teams and companies to develop stronger, more robust CERs.