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    Generative AI in Neurodegenerative Disorders: Innovations, Views, and Obstacles

    Posted By: Free butterfly
    Generative AI in Neurodegenerative Disorders: Innovations, Views, and Obstacles

    Generative AI in Neurodegenerative Disorders: Innovations, Views, and Obstacles by Anindya Nag, Md. Mehedi Hassan, Asif Karim
    English | October 13, 2025 | ISBN: 8743801757 | 410 pages | EPUB, PDF (True) | 37 Mb

    This book delves into the transformative power of AI in the realm of neurodegenerative diseases,
    covering topics such as ALS, Huntington’s, Parkinson’s, and Alzheimer’s. Generative AI
    provides new opportunities for early diagnosis, precise therapy, and individualized rehabilitation,
    which are crucial as these conditions remain major obstacles for healthcare providers
    and researchers.
    Researchers, physicians, AI developers, and healthcare professionals will find this book
    an invaluable resource for understanding how AI is influencing the development of treatments
    for neurodegenerative diseases. It describes important obstacles and future directions while
    providing insights into the newest breakthroughs, thus bridging the gap between technology
    and practical clinical applications. Anyone involved in neurodegenerative healthcare, from
    scientists conducting AI-driven medical research to physicians seeking to incorporate AI into
    patient care or AI professionals investigating new healthcare applications, will find the information
    and insights they need in this comprehensive book.
    Predictive analytics, biomarker identification, and drug discovery are being transformed
    by AI-driven models, such as deep neural networks, generative adversarial networks (GANs),
    and variational autoencoders (VAEs). This book offers a comprehensive examination of these
    developments. Robots, wearable sensors, and cognitive therapy platforms are some of the
    AI-enhanced rehabilitation tools covered, as are AI-integrated cutting-edge technologies like
    fMRI and MRI, gene-editing methods like CRISPR, and more.
    In addition to discussing recent technical developments, this book takes a close look at
    the data privacy, ethics, and regulatory issues that arise when using AI to study neurodegenerative
    disorders. Issues like algorithmic bias, model explainability, and fair AI-driven healthcare
    are thoroughly investigated in light of the growing usage of AI models in clinical decision-making,
    mental health applications, and cognitive rehabilitation.

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