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Nutrition and Stroke
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Integrating Neuroimaging, Computational Neuroscience, and Artificial Intelligence
Unveil the next frontier in neurodegenerative disorder research with Integrating Neuroimaging, Computational Neuroscience, and Artificial Intelligence. This groundbreaking book goes beyond traditional approaches, utilizing the power of interdisciplinary integration to illuminate new pathways in diagnosis and treatment. From AI-driven diagnostics to computational neuroscience models, this book showcases the forefront of innovation. Join us in exploring the future of neurodegenerative care, where collaboration and cutting-edge technology converge to redefine possibilities. Key Features: Integrates diverse fields of research, from neuroimaging to computational neuroscience and Artificial Intell...
Computational Modeling and Simulation in Biomedical Research
This reference provides a comprehensive overview of computational modelling and simulation for theoretical and practical biomedical research. The book explains basic concepts of computational biology and data modelling for learners and early career researchers. Chapters cover these topics: 1. An introduction to computational tools in biomedical research 2. Computational analysis of biological data 3. Algorithm development for computational modelling and simulation 4. The roles and application of protein modelling in biomedical research 5. Dynamics of biomolecular ligand recognition Key features include a simple, easy-to-understand presentation, detailed explanation of important concepts in computational modeling and simulations and references.
Biophysics and Structure to Counter Threats and Challenges
This ASI brought together a diverse group of experts who span virology, biology, biophysics, chemistry, physics and engineering. Prominent lecturers representing world renowned scientists from nine (9) different countries, and students from around the world representing eighteen (18) countries, participated in the ASI organized by Professors Joseph Puglisi (Stanford University, USA) and Alexander Arseniev (Moscow, RU). The central hypothesis underlying this ASI was that interdisciplinary research, merging principles of physics, chemistry and biology, can drive new discovery in detecting and fighting chemical and bioterrorism agents, lead to cleaner environments and improved energy sources, and help propel development in NATO partner countries. At the end of the ASI students had an appreciation of how to apply each technique to their own particular research problem and to demonstrate that multifaceted approaches and new technologies are needed to solve the biological challenges of our time. The course succeeded in training a new generation of biologists and chemists who will probe the molecular basis for life and disease.
Essential Guide to Neurodegenerative Disorders
Handbook of Neurodegenerative Disorders: Mechanism, Diagnostic and Therapeutic Advances provides a comprehensive review on the current biomedical studies aimed at identifying the underlying causes of neurodegeneration. This book reviews the most recent developments in molecular and cellular processes altered during neurodegeneration. Divided into four parts, the first covers the mechanism of cell death in neurodegeneration. The second section reviews the recent progress in gene and gene products in neurodegeneration, including Huntington's disease, Parkinson's disease, Friedreich' s ataxia, and spinal muscular atrophy. The final sections cover the current and future diagnostic techniques of neurodegenerative disorders along with therapeutic approaches. - Reviews big data and neurodegeneration disorders, including gene mapping - Examines the structural basis of protein assembly into amyloid filaments in neurodegenerative disease - Covers the progress and challenges of pharmacotherapy of neurodegenerative disorders
Soft Computing in Data Science
This book constitutes the refereed proceedings of the International Conference on Soft Computing in Data Science, SCDS 2016, held in Putrajaya, Malaysia, in September 2016. The 27 revised full papers presented were carefully reviewed and selected from 66 submissions. The papers are organized in topical sections on artificial neural networks; classification, clustering, visualization; fuzzy logic; information and sentiment analytics.
Role of Nutrients in Neurological Disorders
This book provides the latest research on the role of nutrients in the prevention and treatment of neurological disorders. It discusses dietary supplements and dietary restrictions for combating neurological disorders, including Alzheimer’s disease, Parkinson’s disease, stroke, and epilepsy. The book also explains the impact of different nutrients such as herbal products, algae, micronutrients in stimulating the brain and central nervous system during abnormal functions. It covers the effect of the nutrients on the function of neurotransmitters, their stimulatory effect in autism, dementia, Alzheimer’s, and other neuropathological states. The book also defines the mechanistic effects of neuroprotective and psycho protective effects of natural food in repairing brain damage. This book is essential reading for neuroscientists and neurologists, and healthcare professionals.
Integrative Omics in Parkinson's Disease
Integrative Omics in Parkinson's Disease provides a comprehensive understanding of the current literature on high-throughput technologies relating to discoveries for Parkinson's disease etiology. This emerging field uses large omics datasets to investigate the etiology of Parkinson's disease and other forms of parkinsonism. The book traces the evolution of omics technologies from the discovery of monogenic Parkinson's disease forms. Chapters delve into genomics, transcriptomics, epigenomics, artificial intelligence, and gene-environment interactions. Furthermore, it examines the potential therapeutic applications of these advancements and provides insights into the future of omics research in Parkinson's disease. - Reviews evolution of omics technologies from the first identification of monogenic forms of Parkinson's disease - Outlines machine learning algorithm application to Parkinson's disease datasets - Reviews big datasets on gene-environment interactions, genomics, epigenetics, and transcriptomics - Identifies how the microbiome influences Parkinson's disease in mouse models and patients - Provides outlook for therapies with induced-pluripotent stem cell models
