Ai And Neuro Degenerative Diseases
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| Author | : Ajith Abraham |
| Publisher | : Academic Press |
| Total Pages | : 434 |
| Release | : 2022-09-23 |
| Genre | : Medical |
| ISBN | : 0323902782 |
Artificial Intelligence for Neurological Disorders provides a comprehensive resource of state-of-the-art approaches for AI, big data analytics and machine learning-based neurological research. The book discusses many machine learning techniques to detect neurological diseases at the cellular level, as well as other applications such as image segmentation, classification and image indexing, neural networks and image processing methods. Chapters include AI techniques for the early detection of neurological disease and deep learning applications using brain imaging methods like EEG, MEG, fMRI, fNIRS and PET for seizure prediction or neuromuscular rehabilitation. The goal of this book is to provide readers with broad coverage of these methods to encourage an even wider adoption of AI, Machine Learning and Big Data Analytics for problem-solving and stimulating neurological research and therapy advances. - Discusses various AI and ML methods to apply for neurological research - Explores Deep Learning techniques for brain MRI images - Covers AI techniques for the early detection of neurological diseases and seizure prediction - Examines cognitive therapies using AI and Deep Learning methods
| Author | : Rani, Geeta |
| Publisher | : IGI Global |
| Total Pages | : 586 |
| Release | : 2020-10-16 |
| Genre | : Medical |
| ISBN | : 1799827437 |
By applying data analytics techniques and machine learning algorithms to predict disease, medical practitioners can more accurately diagnose and treat patients. However, researchers face problems in identifying suitable algorithms for pre-processing, transformations, and the integration of clinical data in a single module, as well as seeking different ways to build and evaluate models. The Handbook of Research on Disease Prediction Through Data Analytics and Machine Learning is a pivotal reference source that explores the application of algorithms to making disease predictions through the identification of symptoms and information retrieval from images such as MRIs, ECGs, EEGs, etc. Highlighting a wide range of topics including clinical decision support systems, biomedical image analysis, and prediction models, this book is ideally designed for clinicians, physicians, programmers, computer engineers, IT specialists, data analysts, hospital administrators, researchers, academicians, and graduate and post-graduate students.
| Author | : D. Jude Hemanth |
| Publisher | : Academic Press |
| Total Pages | : 322 |
| Release | : 2021-03-30 |
| Genre | : Science |
| ISBN | : 0128222727 |
Handbook of Decision Support Systems for Neurological Disorders provides readers with complete coverage of advanced computer-aided diagnosis systems for neurological disorders. While computer-aided decision support systems for different medical imaging modalities are available, this is the first book to solely concentrate on decision support systems for neurological disorders. Due to the increase in the prevalence of diseases such as Alzheimer, Parkinson's and Dementia, this book will have significant importance in the medical field. Topics discussed include recent computational approaches, different types of neurological disorders, deep convolution neural networks, generative adversarial networks, auto encoders, recurrent neural networks, and modified/hybrid artificial neural networks. - Includes applications of computer intelligence and decision support systems for the diagnosis and analysis of a variety of neurological disorders - Presents in-depth, technical coverage of computer-aided systems for tumor image classification, Alzheimer's disease detection, dementia detection using deep belief neural networks, and morphological approaches for stroke detection - Covers disease diagnosis for cerebral palsy using auto-encoder approaches, contrast enhancement for performance enhanced diagnosis systems, autism detection using fuzzy logic systems, and autism detection using generative adversarial networks - Written by engineers to help engineers, computer scientists, researchers and clinicians understand the technology and applications of decision support systems for neurological disorders
| Author | : Gabor G. Kovacs |
| Publisher | : Cambridge University Press |
| Total Pages | : 320 |
| Release | : 2017-12-13 |
| Genre | : Medical |
| ISBN | : 1316337650 |
This practical guide to the diagnosis of neurodegenerative diseases discusses modern molecular techniques, morphological classification, fundamentals of clinical symptomology, diagnostic pitfalls and immunostaining protocols. It is based on the proteinopathy concept of neurodegenerative disease, which has influenced classification and provides new strategies for therapy. Numerous high-quality images, including histopathology photomicrographs and neuroradiology scans, accompany the description of morphologic alterations and interpretation of immunoreactivities. Diagnostic methods and criteria are placed within recent developments in neuropathology, including the now widespread application of immunohistochemistry. To aid daily practice, the guide includes diagnostic algorithms and offers personal insights from experienced experts in the field. Special focus is given to the way brain tissue should be handled during diagnosis. This is a must-have reference for medical specialists and specialist medical trainees in the fields of pathology, neuropathology and neurology working with neuropathologic features of neurodegenerative diseases.
| Author | : G. Ali Qureshi |
| Publisher | : Elsevier |
| Total Pages | : 795 |
| Release | : 2007-03-22 |
| Genre | : Science |
| ISBN | : 0080489494 |
Oxidative stress is the result of an imbalance in pro-oxidant/antioxidant homeostasis that leads to the generation of toxic reactive oxygen species. Brain cells are continuously exposed to reactive oxygen species generated by oxidative metabolism, and in certain pathological conditions defense mechanisms against oxygen radicals may be weakened and/or overwhelmed. DNA is a potential target for oxidative damage, and genomic damage can contribute to neuropathogenesis. It is important therefore to identify tools for the quantitative analysis of DNA damage in models on neurological disorders. This book presents detailed information on various neurodegenerative disorders and their connection with oxidative stress. This information will provide clinicians with directions to treat these disorders with appropriate therapy and is also of vital importance for the drug industries for the design of new drugs for treatment of degenerative disorders.* Contains the latest information on the subject of neurodegenerative disorders* Reflects on various factors involved in degeneration and gives suggestions for how to tackle these problems
| Author | : Paul, Sudip |
| Publisher | : IGI Global |
| Total Pages | : 392 |
| Release | : 2019-06-28 |
| Genre | : Medical |
| ISBN | : 1522585680 |
While doctors and physicians are more than capable of detecting diseases of the brain, the most agile human mind cannot compete with the processing power of modern technology. Utilizing algorithmic systems in healthcare in this way may provide a way to treat neurological diseases before they happen. Early Detection of Neurological Disorders Using Machine Learning Systems provides innovative insights into implementing smart systems to detect neurological diseases at a faster rate than by normal means. The topics included in this book are artificial intelligence, data analysis, and biomedical informatics. It is designed for clinicians, doctors, neurologists, physiotherapists, neurorehabilitation specialists, scholars, academics, and students interested in topics centered on biomedical engineering, bio-electronics, medical electronics, physiology, neurosciences, life sciences, and physics.
| Author | : Anthony R. White |
| Publisher | : Academic Press |
| Total Pages | : 468 |
| Release | : 2017-04-28 |
| Genre | : Medical |
| ISBN | : 0128045639 |
Biometals in Neurodegenerative Diseases: Mechanisms and Therapeutics is an authoritative and timely resource bringing together the major findings in the field for ease of access to those working in the field or with an interest in metals and their role in brain function, disease, and as therapeutic targets. Chapters cover metals in Alzheimer's Disease, Parkinson's Disease, Motor Neuron Disease, Autism and lysosomal storage disorders. This book is written for academic researchers, clinicians and advanced graduate students studying or treating patients in neurodegeneration, neurochemistry, neurology and neurotoxicology. The scientific literature in this field is advancing rapidly, with approximately 300 publications per year adding to our knowledge of how biometals contribute to neurodegenerative diseases. Despite this rapid increase in our understanding of biometals in brain disease, the fields of biomedicine and neuroscience have often overlooked this information. The need to bring the research on biometals in neurodegeneration to the forefront of biomedical research is essential in order to understand neurodegenerative disease processes and develop effective therapeutics. - Authoritative and timely resource bringing together the major findings in the field for those with an interest in metals and their role in the brain function, disease, and as therapeutic targets - Written for academic researchers, clinicians, and advanced graduate students studying, or treating, patients in neurodegeneration, neurochemistry, neurology and neurotoxicology - Edited by international leaders in the field who have contributed greatly to the study of metals in neurodegenerative diseases
| Author | : Michael S. Wolfe |
| Publisher | : Academic Press |
| Total Pages | : 561 |
| Release | : 2018-03-29 |
| Genre | : Medical |
| ISBN | : 0128113057 |
The Molecular and Cellular Basis of Neurodegenerative Diseases: Underlying Mechanisms presents the pathology, genetics, biochemistry and cell biology of the major human neurodegenerative diseases, including Alzheimer's, Parkinson's, frontotemporal dementia, ALS, Huntington's, and prion diseases. Edited and authored by internationally recognized leaders in the field, the book's chapters explore their pathogenic commonalities and differences, also including discussions of animal models and prospects for therapeutics. Diseases are presented first, with common mechanisms later. Individual chapters discuss each major neurodegenerative disease, integrating this information to offer multiple molecular and cellular mechanisms that diseases may have in common. This book provides readers with a timely update on this rapidly advancing area of investigation, presenting an invaluable resource for researchers in the field. - Covers the spectrum of neurodegenerative diseases and their complex genetic, pathological, biochemical and cellular features - Focuses on leading hypotheses regarding the biochemical and cellular dysfunctions that cause neurodegeneration - Details features, advantages and limitations of animal models, as well as prospects for therapeutic development - Authored by internationally recognized leaders in the field - Includes illustrations that help clarify and consolidate complex concepts
| Author | : Tahira Farooqui |
| Publisher | : Academic Press |
| Total Pages | : 485 |
| Release | : 2017-10-24 |
| Genre | : Science |
| ISBN | : 0128119608 |
Role of the Mediterranean Diet in the Brain and Neurodegenerative Disease provides a comprehensive overview of the effects of all components of the Mediterranean diet on the brain, along with its beneficial effects in neurodegenerative diseases. It covers topics on neurodegenerative diseases (Alzheimer disease (AD), Parkinson disease, (PD) Huntington disease (HD) and Amyotrophic Lateral Sclerosis (ALS), also providing information on how cardiovascular disease, Type 2 Diabetes, and Metabolic Syndrome become risk factors for neurodegenerative diseases. This book focuses on how the Mediterranean diet suppresses oxidative stress and neuroinflammation in neurodegenerative diseases as well as signal transduction. The Mediterranean diet is characterized by the abundant consumption of olive oil, high consumption of plant foods (fruits, vegetables, pulses, cereals, nuts and seeds); frequent and moderate intake of wine (mainly with meals); moderate consumption of fish, seafood, yogurt, cheese, poultry and eggs; and low consumption of red meat and processed meat products. High consumption of dietary fiber, low glycemic index and glycemic load, anti-inflammatory effects, and antioxidant compounds may act together to produce favorable effects on health status. Collective evidence suggests that Mediterranean diet not only increases longevity by lowering cardiovascular disease, inhibiting cancer growth, but also by protecting the body from age-dependent cognitive decline. - Comprehensively provides an overview of the effects of the Mediterranean diet on the brain and its beneficial effects in neurodegenerative diseases - Discusses the relationship among Type 2 Diabetes, Metabolic Syndrome and Alzheimer's Disease, and the effect of the Mediterranean diet on normal aging, longevity, and other neurodegenerative diseases - Focuses on how the Mediterranean diet suppresses oxidative stress and neuroinflammation in neurodegenerative disease
| Author | : C. Venkatesh |
| Publisher | : John Wiley & Sons |
| Total Pages | : 311 |
| Release | : 2022-01-07 |
| Genre | : Computers |
| ISBN | : 1119762049 |
SMART SYSTEMS FOR INDUSTRIAL APPLICATIONS The prime objective of this book is to provide an insight into the role and advancements of artificial intelligence in electrical systems and future challenges. The book covers a broad range of topics about AI from a multidisciplinary point of view, starting with its history and continuing on to theories about artificial vs. human intelligence, concepts, and regulations concerning AI, human-machine distribution of power and control, delegation of decisions, the social and economic impact of AI, etc. The prominent role that AI plays in society by connecting people through technologies is highlighted in this book. It also covers key aspects of various AI applications in electrical systems in order to enable growth in electrical engineering. The impact that AI has on social and economic factors is also examined from various perspectives. Moreover, many intriguing aspects of AI techniques in different domains are covered such as e-learning, healthcare, smart grid, virtual assistance, etc. Audience The book will be of interest to researchers and postgraduate students in artificial intelligence, electrical and electronic engineering, as well as those engineers working in the application areas such as healthcare, energy systems, education, and others.
