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Machine learning for neurodegenerative disorders : advancements and applications

Explores the application of machine learning to the understanding, early diagnosis, and management of neurodegenerative disorders. With a specific focus on its role in ongoing clinical trials, the book covers essential topics such as data collection, pre-processing, feature extraction, model development, and validation techniques. It delves into the applications of neuroimaging techniques like magnetic resonance imaging (MRI), computed tomography (CT), and positron emission tomography (PET) in the diagnosis and understanding of neurodegenerative disorders. Additionally, the book examines various machine-learning algorithms employed for biomarker discovery in neurodegenerative disorders. It highlights the role of neuroinformatics and big data analysis in advancing the understanding and management of neurodegenerative disorders. Furthermore, the book reviews future prospects and presents the ethical considerations and regulatory challenges associated with implementing machine learning approaches in the diagnosis, treatment, and prevention of neurodegenerative disorders.

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Clinical nuclear medicine

Clinical Nuclear Medicine … focuses on the universal state of the art in both diagnostic and therapeutic radionuclide methodology. … This book is easily readable, with presentation of essential points and plentiful references, and the quality of the figures and tables is excellent. … is a useful guide to students, technologists, and practitioners in nuclear medicine and radiology, as well as to general physicians who request nuclear diagnosis or treatment. … will be a welcome contribution to the bookshelf of nuclear medicine or radiology clinics.

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Cerebral Hemorrhage

Cerebral hemorrhage is a common and often fatal subtype of stroke. while in the past it has received relatively little attention compared to ischemic stroke, there have been major advances in our understanding of this devastating form of stroke. The papers by world experts cover the field from molecular biology to clinical trials.

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