تحسين النتائح
ترتيب حسب
من
الى
الصفحة 1
الصفحة 1
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.
Clinical Functional MRI : Presurgical Functional Neuroimaging
Functional magnetic resonance imaging (fMRI) has contributed significantly to progress in neuroscience by permitting noninvasive imaging of the "human brain at work" under physiological conditions. Within clinical neuroimaging, fMRI is opening up a new diagnostic field by measuring and visualizing brain function. However, fMRI is not yet a standard diagnostic imaging procedure. This textbook is devoted to preoperative fMRI in patients with brain tumors and epilepsies, which are the most well-established clinical applications. By localizing and lateralizing specific brain functions in individual patients, as well as epileptogenic zones, fMRI facilitates the selection of a safe treatment and the planning and performance of function-preserving neurosurgery.
Biomarkers for alzheimer’s disease drug development
Helping to accelerate Alzheimer’s disease drug development. Addressing the latest advances in preclinical and clinical research, including new insights into the molecular mechanisms and emerging therapeutic strategies, the book continues by exploring digital biomarkers and advanced neuroimaging analysis which will transform how clinical trials in the Alzheimer’s disease field are performed.
Advances in cognitive neurodynamics ICCN 2007; Proceedings of the International conference on cognitive neurodynamics - 2007
Contains the Proceedings of the 1st International Conference on Cognitive Neurodynamics held in Shanghai, November 17-21, 2007. The participants were treated to an exciting and stimulating conference that left everyone with an enthusiastic vision for the future of the field. The latest important progress was covered by 13 mini-symposia including: Models of Mental Disorders; Cognitive Machines; Dynamics in learning and memory; Central nervous system synchronization; Neuroinformatics; Cognitive Computational Modeling of Human Language Processing; Cognitive Neurodynamics of Attention; Bottom-Up and Top-Down; Brain Networks; From Anatomy to Dynamics; Translational Cognitive Neuroimaging; K-sets; Theory and Applications; Advanced Signal Processing Techniques for Brain Data Analysis; Visual cortex: information processing and dynamics; Dynamics of Firing Patterns and Synchronization in Neuronal Systems.
Advances in Alzheimer’s and Parkinson’s Disease : Insights, Progress, and Perspectives
Proceedings of the 7th International Conference on Alzheimer’s Disease and Parkinson’s Disease (ADPD), held March 9-13, 2005 in Sorrento, Italy.The subject matter of the ADPD conferences is unique in that it deals not only with issues related individually to Alzheimer’s disease and Parkinson’s disease, but also with the integration of these and other related diseases. The most up-to-date techniques and research findings are illustrated in this volume, covering topics such as immunology, neuroscience, pharmacology, genetics, molecular biology, biochemistry and the history, epidemiology, clinical phenomenology, diagnosis, imaging, treatment ,and future perspectives of Alzheimer’s and Parkinson’s Diseases.
Acute Ischemic Stroke : Imaging and Intervention
Acute Ischemic Stroke: Imaging and Intervention is a comprehensive presentation of the state-of-the-art in the diagnosis and treatment of acute ischemic stroke. This book offers a practical review of recent advances in stroke neuroimaging, and the latest therapeutic options for this disease.
Machine learning for brain disorders
Organized into five parts. Part One presents the fundamentals of ML. Part Two looks at the main types of data used to characterize brain disorders, including clinical assessments, neuroimaging, electro- and magnetoencephalography, genetics and omics data, electronic health records, mobile devices, connected objects and sensors. Part Three covers the core methodologies of ML in brain disorders and the latest techniques used to study them. Part Four is dedicated to validation and datasets, and Part Five discusses applications of ML to various neurological and psychiatric disorders.
