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Biomarkers of Inborn Errors in Metabolism: Clinical Aspects and Laboratory Determination is structured around the new reality that laboratory testing and biomarkers are an integral part in the diagnosis and treatment of inherited metabolic diseases. The book covers currently used biomarkers as well as markers that are in development. Because biomarkers used in the initial diagnosis of disease may be different than the follow-up markers, the book also covers biomarkers used in both the prognosis and treatment of inherited metabolic disorders. With the introduction of expanded new-born screening for inborn metabolic diseases, an increasing numbers of laboratories are involved in follow-up confirmatory testing. The book provides guidance on laboratory test selection and interpreting results in patients with suspected inherited metabolic diseases. The book provides comprehensive guidance on patient diagnosis and follow-up through its illustrative material on metabolic pathways, genetics and pathogenesis, treatment and prognosis of inherited metabolic diseases, along with essential information on clinical presentation. Each chapter is organized with a uniform, easy-to-follow format: a brief description of the disorder and pathway; a description of treatment; biomarkers for diagnosis; biomarkers followed for treatment efficacy; biomarkers followed for disease progression; confounding conditions that can either: affect biomarker expression or mimic IEMs; other biomarkers: less established, future.Provides comprehensive information on the tests/biomarkers selection in newborn screening and follow-up of newborn screensCategorizes biomarkers into diagnostic markers, disease follow-up markers, and prognostic biomarkersCovers confounding factors that can alter biomarkers in the absence of inborn errors of metabolismOffers guidance on how to distinguish acquired causes from inborn errors of metabolism

Biomarkers of Inborn Errors in Metabolism: Clinical Aspects and Laboratory Determination is structured around the new reality that laboratory testing and biomarkers are an integral part in the diagnosis and treatment of inherited metabolic diseases. The book covers currently used biomarkers as well as markers that are in development. Because biomarkers used in the initial diagnosis of disease may be different than the follow-up markers, the book also covers biomarkers used in both the prognosis and treatment of inherited metabolic disorders. With the introduction of expanded new-born screening for inborn metabolic diseases, an increasing numbers of laboratories are involved in follow-up confirmatory testing. The book provides guidance on laboratory test selection and interpreting results in patients with suspected inherited metabolic diseases. The book provides comprehensive guidance on patient diagnosis and follow-up through its illustrative material on metabolic pathways, genetics and pathogenesis, treatment and prognosis of inherited metabolic diseases, along with essential information on clinical presentation. Each chapter is organized with a uniform, easy-to-follow format: a brief description of the disorder and pathway; a description of treatment; biomarkers for diagnosis; biomarkers followed for treatment efficacy; biomarkers followed for disease progression; confounding conditions that can either: affect biomarker expression or mimic IEMs; other biomarkers: less established, future.Provides comprehensive information on the tests/biomarkers selection in newborn screening and follow-up of newborn screensCategorizes biomarkers into diagnostic markers, disease follow-up markers, and prognostic biomarkersCovers confounding factors that can alter biomarkers in the absence of inborn errors of metabolismOffers guidance on how to distinguish acquired causes from inborn errors of metabolism

Introduces a medically proven program of diet and exercise that is designed to slow down the aging process through its impact on ten important physiological biomarkers

Book is in Used-VeryGood condition. Pages and cover are clean and intact. Used items may not include supplementary materials such as CDs or access codes. May show signs of minor shelf wear and contain very limited notes and highlighting. 0.93

Biomarkers have many useful applications in cancer prevention and public health; particularly in the monitoring of exposure to hazardous substances, in identifying individuals at increased risk of disease, and in risk assessment at the population level. This volume aims to provide a set of state-of-the-art reviews of methodological issues in the use of biological markers in cancer epidemiology. In addition, it provides a brief expert statement of our present understanding of these issues under three broad headings: study design and analysis; development of biomarkers; and application of biomarkers.

Book is in Used-VeryGood condition. Pages and cover are clean and intact. Used items may not include supplementary materials such as CDs or access codes. May show signs of minor shelf wear and contain very limited notes and highlighting. 1.74

Unread book in perfect condition.

Clinical Trials, Second Edition, offers those engaged in clinical trial design a valuable and practical guide. This book takes an integrated approach to incorporate biomedical science, laboratory data of human study, endpoint specification, legal and regulatory aspects and much more with the fundamentals of clinical trial design. It provides an overview of the design options along with the specific details of trial design and offers guidance on how to make appropriate choices. Full of numerous examples and now containing actual decisions from FDA reviewers to better inform trial design, the 2nd edition of Clinical Trials is a must-have resource for early and mid-career researchers and clinicians who design and conduct clinical trials.Contains new and fully revised material on key topics such as biostatistics, biomarkers, orphan drugs, biosimilars, drug regulations in Europe, drug safety, regulatory approval and moreExtensively covers the "study schema" and related features of study designIncorporates laboratory data from studies on human patients to provide a concrete tool for understanding the concepts in the design and conduct of clinical trialsIncludes decisions made by FDA reviewers when granting approval of a drug as real world learning examples for readers

Clinical Trials, Second Edition, offers those engaged in clinical trial design a valuable and practical guide. This book takes an integrated approach to incorporate biomedical science, laboratory data of human study, endpoint specification, legal and regulatory aspects and much more with the fundamentals of clinical trial design. It provides an overview of the design options along with the specific details of trial design and offers guidance on how to make appropriate choices. Full of numerous examples and now containing actual decisions from FDA reviewers to better inform trial design, the 2nd edition of Clinical Trials is a must-have resource for early and mid-career researchers and clinicians who design and conduct clinical trials.Contains new and fully revised material on key topics such as biostatistics, biomarkers, orphan drugs, biosimilars, drug regulations in Europe, drug safety, regulatory approval and moreExtensively covers the "study schema" and related features of study designIncorporates laboratory data from studies on human patients to provide a concrete tool for understanding the concepts in the design and conduct of clinical trialsIncludes decisions made by FDA reviewers when granting approval of a drug as real world learning examples for readers

Clinical Trials: Study Design, Endpoints and Biomarkers, Drug Safety, and FDA and ICH Guidelines is a practical guidebook for those engaged in clinical trial design. This book details the organizations and content of clinical trials, including trial design, safety, endpoints, subgroups, HRQoL, consent forms and package inserts. It provides extensive information on both US and international regulatory guidelines and features concrete examples of study design from the medical literature. This book is intended to orient those new to clinical trial design and provide them with a better understanding of how to conduct clinical trials. It will also act as a guide for the more experienced by detailing endpoint selection and illustrating how to avoid unnecessary pitfalls. This book is a straightforward and valuable reference for all those involved in clinical trial design. Provides extensive coverage of the "study schema" and related features of study design<

Clinical Trials: Study Design, Endpoints and Biomarkers, Drug Safety, and FDA and ICH Guidelines is a practical guidebook for those engaged in clinical trial design. This book details the organizations and content of clinical trials, including trial design, safety, endpoints, subgroups, HRQoL, consent forms and package inserts. It provides extensive information on both US and international regulatory guidelines and features concrete examples of study design from the medical literature. This book is intended to orient those new to clinical trial design and provide them with a better understanding of how to conduct clinical trials. It will also act as a guide for the more experienced by detailing endpoint selection and illustrating how to avoid unnecessary pitfalls. This book is a straightforward and valuable reference for all those involved in clinical trial design. Provides extensive coverage of the "study schema" and related features of study design<

This new edition has been updated to include the following: The use of biomarkers (organic compounds in the geospherical record with carbon skeletons) reflecting the upsurge in geoporphyrin research primarily due to MS, yeast RNA nucleic acid studies: reversed-phase HPLC of amino acids; brewing industry applications (HPLC evaluation of carotenoids in orange juice and of "debittered" citrus); HPTLC of carbohydrates; synthesis of a sweetening agent from citrus peels, synthesis and degradation of alkaloids and of sterols, GC/MS uses with sterols, petroleum products, and aromatic constituents of wine and grape juice, flash chromatography of essential oils, optical purity of enantiomers affecting flavors, fragrances, and pheromones, as well as studies of lattice inclusion compounds 1H- and 13C-NMR, MS, IR and UV data are presented for most natural products. Key Features* Biomarkers-organic compounds in the geospherical record with carbon skeletons-reflecting the upsurge in geoporphyrin research primarily due to MS* Yeast RNA nucleic acid studies* Reversed-phase HPLC of amino acids, citrus juice components, and HPLC in brewing industry applications* HPTLC of carbohydrates* 1H- and 13C-NMR: Sweetness evaluation and synthesis of a sweetening agent from citrus peels; seed oil sesamolin; alkaloids (strychnine, piperine, caffeine); and sterol analyses* GC/MS: sterols, petroleum studies, aromatic constituents of wine and grapejuice* Flash chromatography of essential oils* Optical purity of enantiomers affecting flavors, fragrances, and pheromones* Materials science studies of lattice inclusion compounds

In 1936 a German chemist identified certain organic molecules that he had extracted from ancient rocks and oils as the fossil remains of chlorophyll--presumably from plants that had lived and died millions of years in the past. It was another twenty-five years before this insight was developed and the term "biomarker" coined to describe fossil molecules whose molecular structures could reveal the presence of otherwise elusive organisms and processes. Echoes of Life is the story of these molecules and how they are illuminating the history of the earth and its life. It is also the story of how a few maverick organic chemists and geologists defied the dictates of their disciplines and--at a time when the natural sciences were fragmenting into ever-more-specialized sub-disciplines--reunited chemistry, biology and geology in a common endeavor. The rare combination of rigorous science and literary style--woven into a historic narrative that moves naturally from the simple to the complex--make Echoes of Life a book to be read for pleasure and contemplation, as well as education.

Sparse models are particularly useful in scientific applications, such as biomarker discovery in genetic or neuroimaging data, where the interpretability of a predictive model is essential. Sparsity can also dramatically improve the cost efficiency of signal processing. Sparse Modeling: Theory, Algorithms, and Applications provides an introduction to the growing field of sparse modeling, including application examples, problem formulations that yield sparse solutions, algorithms for finding such solutions, and recent theoretical results on sparse recovery. The book gets you up to speed on the latest sparsity-related developments and will motivate you to continue learning about the field. The authors first present motivating examples and a high-level survey of key recent developments in sparse modeling. The book then describes optimization problems involving commonly used sparsity-enforcing tools, presents essential theoretical results, and discusses several state-of-the-art algorithms for finding sparse solutions. The authors go on to address a variety of sparse recovery problems that extend the basic formulation to more sophisticated forms of structured sparsity and to different loss functions. They also examine a particular class of sparse graphical models and cover dictionary learning and sparse matrix factorizations.

A wide variety of biomedical photonic technologies have been developed recently for clinical monitoring of early disease states; molecular diagnostics and imaging of physiological parameters; molecular and genetic biomarkers; and detection of the presence of pathological organisms or biochemical species of clinical importance. However, available information on this rapidly growing field is fragmented among a variety of journals and specialized books.Now researchers and medical practitioners have an authoritative and comprehensive source for the latest research and applications in biomedical photonics. Over 150 leading scientists, engineers, and physicians discuss state-of-the-art instrumentation, methods, and protocols in the Biomedical Photonics Handbook. Editor-in-Chief Tuan Vo-Dinh and an advisory board of distinguished scientists and medical experts ensure that each of the 65 chapters represents the latest and most accurate information currently available.

Sparse models are particularly useful in scientific applications, such as biomarker discovery in genetic or neuroimaging data, where the interpretability of a predictive model is essential. Sparsity can also dramatically improve the cost efficiency of signal processing. Sparse Modeling: Theory, Algorithms, and Applications provides an introduction to the growing field of sparse modeling, including application examples, problem formulations that yield sparse solutions, algorithms for finding such solutions, and recent theoretical results on sparse recovery. The book gets you up to speed on the latest sparsity-related developments and will motivate you to continue learning about the field. The authors first present motivating examples and a high-level survey of key recent developments in sparse modeling. The book then describes optimization problems involving commonly used sparsity-enforcing tools, presents essential theoretical results, and discusses several state-of-the-art algorithms for finding sparse solutions. The authors go on to address a variety of sparse recovery problems that extend the basic formulation to more sophisticated forms of structured sparsity and to different loss functions. They also examine a particular class of sparse graphical models and cover dictionary learning and sparse matrix factorizations.

Most of the developments in perioperative medicine the 20th century were focused on the establishment of standard monitors, biomarkers, and outcomes measures for the cardiovascular and respiratory systems, with marked improvements in perioperative safety. The fields of anesthesiology and perioperative medicine have now shifted to the consideration of the nervous system. Complications such as delirium, cognitive decline, anesthetic neurotoxicity, stroke and other devastating nervous system events are only now developing significant scientific and clinical attention. Yet, there has been no single reference to serve as a guide for the clinician or the investigator interested in this subject. Neurologic Outcomes of Surgery and Anesthesia fills this gap in perioperative medicine literature by providing a concise yet thorough overview of adverse outcomes involving the brain, spine, and peripheral nerves. Rather than being organized by type of operation, each chapter in this invaluable resource is devoted to a specific adverse outcome. Every outcome is reviewed in an easy-to-follow format which includes an introduction to the clinical problem, a section on incidence, prevalence, and outcomes, an assessment of risk factors, discussions of preventive strategies, treatment, and current recommendations, a conclusion, and references.

This book describes statistical concepts and techniques for evaluating medical diagnostic tests and biomarkers for detecting disease. More generally, the techniques pertain to the statistical classification problem for predicting a dichotomous outcome. Measures for quantifying test accuracy are described including sensitivity, specificity, predictive values, diagnostic likelihood ratios and the Receiver Operating Characteristic Curve that is commonly used for continuous and ordinal valued tests. Statistical procedures are presented for estimating and comparing them. Regression frameworks for assessing factors that influence test accuracy and for comparing tests while adjusting for such factors are presented. This book presents many worked examples of real data and should be of interest to practicing statisticians or quantitative researchers involved in the development of tests for classification or prediction in medicine.

This book describes statistical concepts and techniques for evaluating medical diagnostic tests and biomarkers for detecting disease. More generally, the techniques pertain to the statistical classification problem for predicting a dichotomous outcome. Measures for quantifying test accuracy are described including sensitivity, specificity, predictive values, diagnostic likelihood ratios and the Receiver Operating Characteristic Curve that is commonly used for continuous and ordinal valued tests. Statistical procedures are presented for estimating and comparing them. Regression frameworks for assessing factors that influence test accuracy and for comparing tests while adjusting for such factors are presented. This book presents many worked examples of real data and should be of interest to practicing statisticians or quantitative researchers involved in the development of tests for classification or prediction in medicine.

The field of Molecular Diagnostics is rapidly evolving and molecular characterization of neoplasms is becoming an increasingly important part of the pathologic work up and diagnosis of many tumor types. This work provides a high-yield reference book that compiles critical information related to molecular biomarkers for various solid tumor and hematologic malignancy subtypes. It is succinct yet comprehensive enough to be suitable for fellows in training and medical professionals with an interest in molecular pathology and biomarkers. The book covers many aspects of molecular diagnostics, from techniques to applications and comprehensive summaries of the current molecular biomarkers of critical importance in solid and liquid tumors. Attention is also specifi cally devoted to bioinformatics and next generation sequencing, as well as pre-analytical issues that must be considered for accurate interpretation of molecular results in the context of overall patient care.This text focuses on clinical utility and validity and serves as an “owner’s manual” in Genomic Diagnostics for the practicing pathologist, pathology fellows and residents and other health care providers. Physicians will find this book invaluable as a quick reference for current molecular testing modalities and guidelines, tumor board preparation, deciding which test to order and interpreting genomic laboratory results. In addition, it is an accessible for trainees as a board review preparation reference.