This monograph offers a fundamentally new approach to facilitate the study of metabolic networks in cells. It aims to overcome the limitations of either just a single FBA solution, or an overwhelming number of extreme pathways in a realistic network. Instead it focusses on the FBA solution space and describes it in a simplified way by extracting just a bounded subspace: the Solution Space Kernel or SSK. This reduces the relevant number of flux space dimensions by orders of magnitude, and allows its location, size and shape to be characterised. It is a multi-stage process, requiring many new concepts and algorithms for manipulating polytopes in high dimensional spaces.The book introduces and develops these concepts in a pragmatic way that takes into account the difficulties of performing analyses in a flux space with dimensions counting in the hundreds or thousands. It emphasizes the details of implementation in computational code and applications to realistic models are demonstrated. For many cases, the number of constraints and flux variables that fully specify the SSK polytope is only a single or double-digit number. This allows the range of metabolic states accessible to a cell to be further interpreted geometrically in terms of a manageable set of orthogonal diameters and aspect ratios. In addition, explicit representative fluxes, giving the centre and periphery of the solution space kernel, become available for further exploration.

This new edition of the classic textbook on health informatics provides readers in healthcare practice and educational settings with an unparalleled depth of information on using informatics methods and tools. However, this new text speaks to nurses and - in a departure from earlier editions of this title - to all health professionals in direct patient care, regardless of their specialty, extending its usefulness as a textbook. This includes physicians, therapists, pharmacists, dieticians and many others. In recognition of the evolving digital environments in all healthcare settings and of interprofessional teams, the book is designed for a wide spectrum of healthcare professions including quality officers, health information managers, administrators and executives, as well as health information technology professionals such as engineers and computer scientists in health care. The book is of special interest to those who bridge the technical and caring domain, particularly nurse and medical informaticians and other informaticians working in the health sciences. Nursing Informatics: An Interprofessional and Global Perspective contains real-life case studies and other didactic features to illustrate the theories and principles discussed, making it an ideal resource for use within health and nursing informatics curricula at both undergraduate and graduate level, as well as for workforce development. It honors the format established by the previous editions by including a content array and questions to guide the reader. Readers are invited to look out of the box through a dedicated global perspective covering health informatics applications in different regions, countries and continents.

Use technology and agile methodologies such as DevOps and micro-enterprises to find your solution space to design, form and provide sustainable healthcare Key Features * Distinguish different pace and timing of change for healthcare systems and recognize constraints * Apply shared mental models for common understanding between digital, medical and enterprise * Integrate new technology to accelerate digital transformation based on practical examples Book Description Technology is an important driver for change, but in essence we should design and plan for personalized health and not focus on the tech. Healthcare transformation requires more than just technology: medical staff, supporting staff, and patients including their community need to embrace it. We need a methodology to bring it all together: people, organizations, and technology by creating common understanding. This book presents ways to build understanding between the stakeholders and agree jointly on the way forward. Every chapter of this book has a specific theme, providing a comprehensive overview of the challenges, the opportunities and the approaches to deal with them in architecture and transformation. You will be able to guide the digital transformation of global healthcare. It includes the impact of new technologies, but addresses primarily a methodology or framework for common understanding in the first place. The framework is referred to as TISH: transformation in sustainable healthcare. In addition, you will also apply OODA principles (Observe, Orient, Decide, Act) and DevOps4Care in real practice, step-by-step. By the end of this book, you will not only understand the issues and challenges, but also possess a workable, actionable solution in the form of a roadmap. What you will learn * Understand the need for transformation of healthcare * Accelerate transformation through common understanding in manageable steps * Learn about networked, stepped, integrated, and directed care * Handle complexity through System of Systems * Learn about Journey Interaction Mapping (JIM) * Add value to healthcare by applying DevOps methodologies Who This Book Is For This book is written for anyone interested in designing, building, and providing data driven healthcare. Architects, consultants, engineers, and especially healthcare practitioners who want to embrace the complexity of the digital transformation of healthcare can benefit from this book. The book will be interesting for digital leaders (including C-suite) and for anyone who is on a learning path to understand the world of technological innovation combined with healthcare and wants to be a part of it.

This book provides an overview of the role of AI in medicine and, more generally, of issues at the intersection of mathematics, informatics, and medicine. It is intended for AI experts, offering them a valuable retrospective and a global vision for the future, as well as for non-experts who are curious about this timely and important subject. Its goal is to provide clear, objective, and reasonable information on the issues covered, avoiding any fantasies that the topic "AI" might evoke. In addition, the book seeks to provide a broad kaleidoscopic perspective, rather than deep technical details.

The mechanical properties of cells can be used to distinguish pathological from normal cells and tissues in many diseases. This book will outline the physics behind cell and tissue mechanics, describe the methods which can be used to determine their mechanical properties, and present various diseases in which a mechanical fingerprint could be established. The book is designed to not require a background in either Physics or Life Sciences.

The mechanical properties of cells can be used to distinguish pathological from normal cells and tissues in many diseases. This book will outline the physics behind cell and tissue mechanics, describe the methods which can be used to determine their mechanical properties, and present various diseases in which a mechanical fingerprint could be established. The book is designed to not require a background in either Physics or Life Sciences.

Next-Generation Sequencing (NGS) is increasingly common and has applications in various fields such as clinical diagnosis, animal and plant breeding, and conservation of species. This incredible tool has become cost-effective. However, it generates a deluge of sequence data that requires efficient analysis. The highly sought-after skills in computational and statistical analyses include machine learning and, are essential for successful research within a wide range of specializations, such as identifying causes of cancer, vaccine design, new antibiotics, drug development, personalized medicine, and increased crop yields in agriculture.This invaluable book provides step-by-step guides to complex topics that make it easy for readers to perform specific analyses, from raw sequenced data to answer important biological questions using machine learning methods. It is an excellent hands-on material for lecturers who conduct courses in bioinformatics and as reference material for professionals. The chapters are standalone recipes making them suitable for readers who wish to self-learn selected topics. Readers gain the essential skills necessary to work on sequenced data from NGS platforms; hence, making themselves more attractive to employers who need skilled bioinformaticians.

As a general introduction to the SNOMED CT clinical terminology code system, the book explains in simple terms a wealth of key aspects, including the fundamentals of SNOMED CT, the various ways in which it can be used, and the methods by which it may quickly be deployed for use within an electronic documentation system that deals with clinical and clinics-related data. Further considerations include how end users can employ the system, how healthcare IT designers and developers can build highly ergonomic systems, and how health informatics experts and clinical analysts can successfully harness the various features that the clinical terminology code system provides in order to unleash the hidden potentials of clinical data. The book brings together material from various sources, presenting it in an easy-to-follow manner and supplemented by analyses of a number of different (imaginary) scenarios including case summaries from the author's experience and knowledge. The book will greatly benefit all stakeholders involved: clinicians, nurses, paramedics, dentists, public health professionals, health informatics professionals and healthcare IT engineers involved in the design and development of information systems for healthcare. Students at both the undergraduate and postgraduate levels seeking a practical introduction to SNOMED CT will find this book to be a valuable guide.

In recent years, there have been significant progress in computational intelligence and image processing with machine learning and deep learning as important components of modern artificial intelligence. All these progresses face challenges in dealing with Covid-19 pandemic for detection and treatment.This comprehensive compendium provides not only updated advances of computational intelligence and image processing in the detection and treatment of Covid-19, but also other medical applications such as in cancer detection and cardiovascular diseases, etc. More traditional approaches such as 2D segmentation and 3D reconstruction are included.The useful reference text is an updated version of the edited title, Computer Vision in Medical Imaging (World Scientific, 2014) and its companion volume, Frontiers of Medical Imaging (World Scientific, 2015). The book is written for engineers, scientists and the medical community to meet the increased challenges in medical applications.

The colloquium on "Imaging of Cognitive Function" speaks to the many audiences whose interests relate to efforts to map cognitive processes in the human brain. There are things of great interest in this collection of papers for specialists in cognition and neuroscience and imaging science as well as in disciplines interested in human development through education and training and others with intrinsic interest in the latest information on how the human brain supports thought. The papers were presented at a meeting sponsored by the National Academy of Sciences in its western home the Beckman Center at the University of California, Irvine.