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Books in Bioinformatics and computational biology

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    • Habit-Based Behaviour Change Medical Information Support System and Artificial Intelligence

      • 1st Edition
      • February 1, 2026
      • Pantea Keikhosrokiani + 1 more
      • English
      • Paperback
        9 7 8 0 4 4 3 1 3 7 5 9 4
      • eBook
        9 7 8 0 4 4 3 1 3 7 6 0 0
      Habit-based Behavior Change Medical Information Support System and Artificial Intelligence: Theories, Methods, and Data Analytics Approach provides a guideline to design and implement Habit-based Behavior Change Support Systems (HBCSS) which can change patient’s unhealthy habits to prevent the development of diseases. It presents theories, methods, management, and data analytics approach required to design, implement, and prescribe the use of HBCSS for several diseases’ management.It discusses topics such as theories of behavior change, ontologies and knowledge management, data mining, privacy and security, descriptive and prescription analytics. In addition, it discusses how to measure habit-change, future directions of the field, and case studies based on real-world examples.It is a valuable resource for clinicians, researchers, students, and member of the biomedical and medical fields who want to learn more about the use of medical systems to improve patients’ health.

    • Artificial Intelligence Based Primary Care

      • 1st Edition
      • March 1, 2026
      • Anthony C. Chang + 4 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.

    • Genome Analysis

      • 1st Edition
      • October 1, 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
      • September 1, 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.

    • 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.

    • Healthcare Applications of Neuro-Symbolic Artificial Intelligence

      • 1st Edition
      • August 29, 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.

    • Resilient Health

      • 1st Edition
      • June 24, 2024
      • Judy Kuriansky + 1 more
      • English
      • Paperback
        9 7 8 0 4 4 3 1 8 5 2 9 8
      • eBook
        9 7 8 0 4 4 3 1 8 5 3 0 4
      Resilient Health: Leveraging Technology and Social Innovations to Transform Healthcare for COVID-19 Recovery and Beyond presents game-changing and disruptive technological innovations and social applications in physical and mental healthcare around the world for the post-COVID age and beyond, addressing the urgent need for care. In this first-of-its kind comprehensive volume, experts and stakeholders from all sectors - government and the public and private sectors - offer models and frameworks for policy, programming, and financing to transform healthcare, address inequities, close the treatment gap, and “build back better,” especially for under-resourced vulnerable communities globally, to “leave no one behind” and advance development globally. Contributions from world experts cover 8 essential parts: The context and challenges for resilient health systems to shape the future; developments and directions (AI, VR, MR, IVAs and more); an innovations toolbox, also targeted for special populations and settings (women, youth, ageing, migrants, disabled persons, indigenous peoples, in the workplace); the role of stakeholders (governments, the United Nations bodies, and the public and private sector); forums and networks; innovative financing; resources, lessons learned and the way forward.

    • Artificial Intelligence in Biomedical and Modern Healthcare Informatics

      • 1st Edition
      • September 27, 2024
      • M. A. Ansari + 4 more
      • English
      • Paperback
        9 7 8 0 4 4 3 2 1 8 7 0 5
      • eBook
        9 7 8 0 4 4 3 2 1 8 7 1 2
      Artificial Intelligence in Biomedical and Modern Healthcare Informatics provides a deeper understanding of the current trends in AI and machine learning within healthcare diagnosis, its practical approach in healthcare, and gives insight into different wearable sensors and its device module to help doctors and their patients in enhanced healthcare system.The primary goal of this book is to detect difficulties and their solutions to medical practitioners for the early detection and prediction of any disease.The 56 chapters in the volume provide beginners and experts in the medical science field with general pictures and detailed descriptions of imaging and signal processing principles and clinical applications.With forefront applications and up-to-date analytical methods, this book captures the interests of colleagues in the medical imaging research field and is a valuable resource for healthcare professionals who wish to understand the principles and applications of signal and image processing and its related technologies in healthcare.

    • Integrative Omics

      • 1st Edition
      • May 3, 2024
      • Manish Kumar Gupta + 3 more
      • English
      • Paperback
        9 7 8 0 4 4 3 1 6 0 9 2 9
      • eBook
        9 7 8 0 4 4 3 1 6 0 9 3 6
      Integrative Omics: Concept, Methodology and Application provides a holistic and integrated view of defining and applying network approaches, integrative tools, and methods to solve problems for the rationalization of genotype to phenotype relationships. The reference provides systemic ‘step-by-step’ coverage that begins with basic concepts from Omic to Multi Integrative Omics approaches followed by applications and emerging and future trends. All areas of Omics are covered, including biological databases, sequence alignment, pharmacogenomics, nutrigenomics and microbial omics, integrated omics for Food Science and Identification of genes associated with disease, clinical data integration and data warehousing, translational omics, technology policy, and society research. This book covers recent concepts, methodologies, advancements in technologies and is also well-suited for researchers from both academic and industry background, undergraduate and graduate students who are mainly working in the area of computational systems biology, integrative omics and translational science.

    • Biological Insights of Multi-Omics Technologies in Human Diseases

      • 1st Edition
      • May 23, 2024
      • Aarif Ali + 3 more
      • English
      • Paperback
        9 7 8 0 4 4 3 2 3 9 7 1 7
      • eBook
        9 7 8 0 4 4 3 2 3 9 7 0 0
      Biological Insights of Multi-Omics Technologies in Human Diseases provides detailed information about the basics of multi-omic technologies, including ethics, historical perspective, science, drug discovery, and development and metabolism. With a strong focus on the practical application of omics approaches in cancer, cardiovascular, neurology, respiratory, viral, gastroenterology, autoimmune diseases, PCOS and tuberculosis, this book also includes special topics related to COVID-19 and Machine learning approaches. In 13 chapters, this book provides comprehensive coverage of the challenges and opportunities facing the therapeutic implications of multi-omics from academic, regulatory, pharmaceutical, socio-ethical, and economic perspectives.The chapters are designed in a well-defined chronology such that readers will intuitively understand the central idea. This book is an ideal resource for health professionals, scientists and researchers, nutritionists, health practitioners, students, and all those who wish to broaden their knowledge in the allied field.