The first of its kind, All About Albumin summarizes the chemistry, genetics, metabolism, clinical implications, and commercial aspects of albumin. It provides the most up-to-date sequences, structures, and compositions of many species, and includes more than 2000 references. - Includes up-to-date sequences, structures, and compositions of many species - Reviews the protein chemistry, genetic control, and metabolism of albumin - Covers medical and cell culture applications in vivo and in vitro, with a section on handling albumin in the laboratory - Presents the relationship of albumin to its superfamily with an updated scheme for their evolution - First complete coverage of all aspects of serum albumin in one volume, with more than 2000 references

Albumin Structure, Function and Uses reviews the many facets of serum albumin, including its history and evolutionary development, structure and function, synthesis, degradation, distribution and transport, and metabolic behavior. The use, misuse, and abuse of albumin in the treatment of disease are also discussed. This book is comprised of 17 chapters and begins with a commentary on how albumin is used, misused, and abused in the treatment of disease such as peptic ulcer, and a description of the real indications for its use. Concepts in albumin purification are then examined, along with the amino acid sequence of serum albumin and some aspects of its structure and conformational properties. Subsequent chapters explore the phylogenetics of albumin; albumin binding sites; clinical implications of drug-albumin interaction; genetics of human serum albumin; and hepatic synthesis of export proteins. Albumin catabolism and intracellular transport are also considered, together with surgical and clinical aspects of albumin metabolism. This monograph should be a useful resource for biochemists and clinicians.

This book presents a comprehensive overview of medical and pharmaceutical applications of human serum albumin (HSA), with updates on structural aspects of albumin from the perspectives of X-ray crystallography and NMR, endogenous and exogenous ligand binding of albumin in various pathological conditions, and genetic variants and their phenotypes. Rapid progress and development of its applications have resulted in outstanding results for which albumin has clearly been proven to be a robust biomaterial. Contributions from leading international experts in this field show how HSA is applied to diagnosis, therapy, drugs, and treatment, with a comprehensive introduction of HSA. This volume will appeal to scientists in pharmaceutical and medical research including pharmaceutical chemists, pharmacokineticists, toxicologists, and biochemists not only in academia but also in industry. Readers can effectively acquire the most recent knowledge of applications of HSA and its impact on human health in a single volume.

It is only during the last decade that the functions of sinusoidal endothelial cells, Kupffer cells, hepatic stellate cells, pit cells and other intrahepatic lymphocytes have been better understood. The development of methods for isolation and co-culturing various types of liver cells has established that they communicate and cooperate via secretion of various intercellular mediators. This monograph summarizes multiple data that suggest the important role of cellular cross-talk for the functions of both normal and diseased liver. Special features of the book include concise presentation of the majority of detailed data in 19 tables. Original schemes allow for the clear illustration of complicated intercellular relationships. This is the first ever presentation of the newly emerging field of liver biology, which is important for hepatic function in health and disease and opens new avenues for therapeutic interventions.

Find complete answers to questions such as which laboratory tests to order or what the results might mean. Laboratory Tests and Diagnostic Procedures, 6th Edition covers more tests than any other reference of its kind, with over 900 lab tests and diagnostic procedures in all. In Part I, you'll find an alphabetical list of hundreds of diseases, conditions, and symptoms, including the tests and procedures most commonly used to confirm or rule out a suspected diagnosis. In Part II, you’ll find descriptions of virtually every laboratory and diagnostic test available. This edition is updated with the latest research and over 20 NEW test entries. Written by educator Cynthia Chernecky and clinical nurse specialist Barbara Berger, this lab reference covers today’s lab tests with concise, easy-to-use information. More than 900 laboratory tests and diagnostic procedures are included — more than any other reference! Over 600 diseases, conditions, and symptoms are listed, along with the tests used to confirm them. Alphabetical organization and A-to-Z thumb tabs make it easy to find the information you’re looking for. Alternative test names and acronyms are cross-referenced to simplify lookup. Instructions for client and family teaching help you offer guidance concerning test preparation and follow-up care. Age and gender-specific norms are provided, giving you complete lifespan coverage. Risks and Contraindications are highlighted to help you safeguard your patients and provide effective care. Panic Level Symptoms and Treatment are provided for dangerously increased and decreased levels. Minimum volumes for blood samples are included, useful when a client’s blood preservation is essential, as well as information on whether blood specimens can be drawn during hemodialysis. Tests for toxic substances are included, making this a lab, diagnostic, and toxicology book all in one. Abbreviations, measurement prefixes, and symbols are listed on the front and back covers for convenience. Information on herbal supplements indicates when a client’s use of natural remedies might affect test results. Over 20 NEW test entries present the latest tests and procedures, with a strong focus on affordable, clinically relevant genetic tests. UPDATED content includes the latest research relating to accuracy of tests, diagnostic value of results, and associated cost-benefit ratios.

BIOMEDICAL DATA MINING FOR INFORMATION RETRIEVAL This book not only emphasizes traditional computational techniques, but discusses data mining, biomedical image processing, information retrieval with broad coverage of basic scientific applications. Biomedical Data Mining for Information Retrieval comprehensively covers the topic of mining biomedical text, images and visual features towards information retrieval. Biomedical and health informatics is an emerging field of research at the intersection of information science, computer science, and healthcare and brings tremendous opportunities and challenges due to easily available and abundant biomedical data for further analysis. The aim of healthcare informatics is to ensure the high-quality, efficient healthcare, better treatment and quality of life by analyzing biomedical and healthcare data including patient’s data, electronic health records (EHRs) and lifestyle. Previously, it was a common requirement to have a domain expert to develop a model for biomedical or healthcare; however, recent advancements in representation learning algorithms allows us to automatically to develop the model. Biomedical image mining, a novel research area, due to the vast amount of available biomedical images, increasingly generates and stores digitally. These images are mainly in the form of computed tomography (CT), X-ray, nuclear medicine imaging (PET, SPECT), magnetic resonance imaging (MRI) and ultrasound. Patients’ biomedical images can be digitized using data mining techniques and may help in answering several important and critical questions relating to healthcare. Image mining in medicine can help to uncover new relationships between data and reveal new useful information that can be helpful for doctors in treating their patients. Audience Researchers in various fields including computer science, medical informatics, healthcare IOT, artificial intelligence, machine learning, image processing, clinical big data analytics.

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