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Clinical Guide to Inherited Metabolic Diseases, Clarke

Clinical Guide to Inherited Metabolic Diseases

Автор: Clarke
Название:  Clinical Guide to Inherited Metabolic Diseases   (Клиническое руководство по унаследованным нарушениям обмена веществ)
Издательство: Cambridge University Press
Издательство: Cambridge University Press
Классификация:
Педиатрия

ISBN: 0521890764
ISBN-13(EAN): 9780521890762
ISBN: 0-521-89076-4
ISBN-13(EAN): 978-0-521-89076-2
Обложка/Формат: Paperback
Страницы: 306
Вес: 0.632 кг.
Дата издания: July 11, 2002
Язык: ENG
Размер: 24.89 x 17.32 x 1.96 cm
Описание: This clinically organized, user-friendly, handbook is intended to help general physicians and medical specialists in training with the first critical steps in clinical diagnosis: how to determine that this is an inherited metabolic disease, and where to go from here to establish a diagnosis. It is a well-illustrated text that is organized around the clinical presentation of the disease. Biochemical and metabolic concepts are presented in a clinically relevant context. It functions to complement more traditional textbooks which are organized biochemically. The book serves as an entrance to the discipline, to help non-expert physicians and advanced medical trainees to overcome the intimidation they are accustomed to experiencing when dealing with metabolic problems. This new edition has been expanded to include substantially more on mitochondrial diseases, new imaging techniques, and new techniques for screening and diagnosis.
Дополнительное описание: Кол-во стр.: 306
Формат: 247 x 173 x 23
Дата издания: 2002
Страна: UK
Круг читателей: postgraduate; research, professional
Иллюстрации: 30 diagrams, 72 tables, 35halftones
Вес: 632



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Practical Clinical Oncology

Автор: Hanna
Название: Practical Clinical Oncology
ISBN: 1107683629 ISBN-13(EAN): 9781107683624
Издательство: Cambridge Academ
Цена: 6134 р.
Наличие на складе: Есть у поставщика.Поставка под заказ.
Описание: Practical Clinical Oncology, 2nd edition, provides a practical and comprehensive review of the current management of common types of cancer. Introductory chapters give background information on the main treatment modalities and other key issues such as acute oncology, palliative care and clinical research, with new chapters on pathology and advanced external beam radiotherapy. Subsequent chapters describe the diagnosis and treatment of malignancies, based on tumour site or type. Finally, multiple choice questions allow the reader to test their knowledge. This edition has been fully updated to reflect the most current developments in radiotherapy, tumour biology and drug therapy. With an emphasis on practical aspects of cancer care that will be relevant to day-to-day decision making, this book is an invaluable resource on contemporary clinical management of the cancer patient for all trainees and practitioners involved in clinical oncology, medical oncology and palliative care, as well as for specialist nurses and radiographers.
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Advanced State Space Methods for Neural and Clinical Data

Автор: Chen
Название: Advanced State Space Methods for Neural and Clinical Data
ISBN: 1107079195 ISBN-13(EAN): 9781107079199
Издательство: Cambridge Academ
Цена: 8764 р.
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Описание: This authoritative work provides an in-depth treatment of state space methods, with a range of applications in neural and clinical data. Advanced and state-of-the-art research topics are detailed, including topics in state space analyses, maximum likelihood methods, variational Bayes, sequential Monte Carlo, Markov chain Monte Carlo, nonparametric Bayesian, and deep learning methods. Details are provided on practical applications in neural and clinical data, whether this is characterising time series data from neural spike trains recorded from the rat hippocampus, the primate motor cortex, or the human EEG, MEG or fMRI, or physiological measurements of heartbeats or blood pressures. With real-world case studies of neuroscience experiments and clinical data sets, and written by expert authors from across the field, this is an ideal resource for anyone working in neuroscience and physiological data analysis.
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