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Deep Learning Approaches for Early Diagnosis of Neurodegenerative Diseases - Hardcover

 
9798369312810: Deep Learning Approaches for Early Diagnosis of Neurodegenerative Diseases

Synopsis

Within the context of global health challenges posed by intractable neurodegenerative diseases like Alzheimer's and Parkinson's, the significance of early diagnosis is critical for effective intervention, and scientists continue to discover new methods of detection. However, actual diagnosis goes beyond detection to include a significant analysis of combined data for many cases, which presents a challenge of several complicated calculations. Deep Learning Approaches for Early Diagnosis of Neurodegenerative Diseases stands as a groundbreaking work at the intersection of artificial intelligence and neuroscience. The book orchestrates a symphony of cutting-edge techniques and progressions in early detection by assembling eminent experts from the domains of deep learning and neurology. Through a harmonious blend of research areas and pragmatic applications, this monumental work charts the transformative course to revolutionize the landscape of early diagnosis and management of neurodegenerative disorders. Deep Learning Approaches for Early Diagnosis of Neurodegenerative Diseases aspires to serve as a comprehensive resource that delves deep into the integration of deep learning methodologies with the intricate terrain of neuroscientific principles for the early detection of neurodegenerative disorders. This book is designed for audiences comprising researchers, clinicians, and professionals straddling the realms of neurology, artificial intelligence, machine learning, and biomedical engineering. It caters to the aspirations of graduate students and postdoctoral researchers engaged in unraveling the mysteries of neurodegenerative diseases. Industry veterans with an eye for developing diagnostic tools and technologies will find a treasure trove of wisdom within its pages. For those with a fervent passion for comprehending the multifaceted applications of deep learning in early disease detection and the desire to propel progress in the field, this book is an invaluable resource. Additionally, policymakers and healthcare administrators, resolute in their mission to enhance diagnostic practices and elevate patient care standards for neurodegenerative disorders, will find this publication both enlightening and thought-provoking. Within the pages, readers will embark through the intricate landscape of neurodegenerative diseases, the fundamental underpinnings of deep learning, the nuances of neuroimaging data acquisition and preprocessing, the alchemy of feature extraction and representation learning, and the symphony of deep learning models tailored for neurodegenerative disease diagnosis. The book also delves into integrating multimodal data to augment diagnosis, the imperative of rigorously evaluating and validating deep learning models, and the ethical considerations and challenges entwined with deep learning for neurodegenerative diseases.

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About the Authors

Raul Villamarin Rodriguez is the Vice President at Woxsen University. He holds a Ph.D. in Artificial Intelligence and Robotics Process Automation Applications in Human Resources from San Miguel University, Mexico. Under his leadership, Woxsen University has partnered with 50+ Leading Universities in 35 countries across 6 continents. He has been instrumental in bringing International Exchange Programs & Research opportunities with the said global partner universities for students and faculty. His areas of expertise span across the domain of Artificial Intelligence and Quantum Artificial Intelligence, Natural Language Processing, Computer Vision, Robotic Process Automation, Multi-agent Systems, Data Analytics (Big Data), Cybersecurity Management and Knowledge Engineering. Dr. Raul has been part of significant research during his tenure, primarily through RRBM, GRLI, and PRME. He has also played vital roles in organizing renowned educational symposiums for institutions like the Oxford Brookes University, UK and European Union-government bodies in Brussels, Belgium. A young achiever, Dr. Raul, has recently been awarded in the Europe India 40 under 40 Leaders and nominated in Forbes 30 Under 30 Europe 2020. His achievements also highlight him as a registered expert in Artificial Intelligence, Intelligent Systems, and Multi-agent Systems at the European Commission. Treading the path of thought leadership in the education domain, Dr. Raul has made his place as a member of international bodies such as GRLI Deans and Directors cohort, Harvard Business Review Advisory Council, and the Institute for Robotics Process Automation & Artificial Intelligence (IRPA AI). As a staunch knowledge contributor to his field of expertise, Dr. Raul is frequently seen as the keynote speaker and panel moderator at various national and international conferences. In addition, he has co-authored two reference books: ‘New Age Leadership: A Critical Insight’ and ‘Retail Store’e’ and has more than 70 publications to his credit. He is also a weekly contributing writer to various magazines, a notable journal reviewer, and an associate editor in renowned publications such as IEEE.

Dr. Hemachandran K is a distinguished academic and researcher in the fields of Artificial Intelligence, Machine Learning, and Business Analytics. He serves as the Director of the AI Research Centre and Associate Dean of the Graduate Program at the School of Business, Woxsen University. Dr. Hemachandran holds multiple prestigious positions, including Area Chair of the Analytics Department and named professorships: the Zita Zoltay Paprika Professor of Decision Sciences & Business Economics and the Course5i Chair Professor of Business Analytics and Machine Learning. His expertise spans Artificial Intelligence and Machine Learning, contributing significantly to the School of Business at Woxsen University.

Khalid Shaikh , is the Founder and CEO of Prognica Labs and Kountifi Innovations Inc. He is a researcher, author and business strategist. With over 20 years of experience spanning healthcare, finance, and technology, Khalid is an researcher, author, technocrat and business strategist. He has been honored as one of the “Most Creative People in Business 2023” and serves on the Harvard Business Review Advisory Council, and has received numerous awards for his innovations and contribution in healthcare and public health. He has delivered keynote sessions and participated in expert panels at events such as the Sharjah Investment Forum, St Petersburg Economic Forum, GITEX Global, and India Global Forum, Borsa del biomedicale Veneto in the Middle East and internationally. Throughout his journey, he have been actively contributed to various innovation ecosystems and have worked closely with academic institutions, research parks, and global forums. He have published and lectured extensively on business performance improvement, digitalization, and innovation.

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