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Books in Biotechnology

Exploring genetic engineering, cell culture, and bioprocessing, this collection supports researchers and industry professionals developing new therapies, diagnostics, and sustainable bio products. It features innovative techniques, case studies, and regulatory considerations, enabling advancements in healthcare, agriculture, and environmental solutions within a rapidly evolving biotech landscape.

  • Artificial Intelligence in Brain Disorders

    Innovations in Diagnosis and Treatment
    • 1st Edition
    • Pranav Kumar Prabhakar + 3 more
    • English
    Artificial Intelligence in Brain Disorders: Innovations in Diagnosis and Treatment focuses on the utilization of AI and machine learning to enhance current practices in the diagnosis and treatment of neurological disorders. Each chapter provides in-depth exploration of specific areas where AI can improve existing methodologies, offering practical guidance, case studies, and research findings that can be directly applied in the field. It explains the application of AI in diagnosing and treating major neurological illnesses and showcases the potential of AI in predicting diseases such as epilepsy and neurodegenerative disorders.As such, this book offers a detailed overview of AI and machine learning techniques relevant to neurological research.

  • Artificial Intelligence Applications in Emerging Healthcare Technologies

    • 1st Edition
    • Miguel Antonio Wister Ovando + 2 more
    • English
    Artificial Intelligence Applications in Emerging Healthcare Technologies presents the latest advances and state-of-the-art methods and applications of computer science and emerging AI technologies in health and medicine. It explores the impact of artificial intelligence (AI) in healthcare for medical decision-making and data analysis, tackling topics such as cloud computing, cybersecurity, the internet of things, natural language processing, virtual health, data science applied to healthcare, personalized medicine, imaging, diagnosis, drug discovery, and diseases, among others. It is a great resource for researchers and students to learn how machine learning algorithms and other data science techniques have been implemented to solve healthcare-related problems. Chapters present adaptations or improvements on previous models and algorithms to process data from different sources. Other chapters investigate new formulations for the optimization of known procedures and algorithms. Finally, all chapters use experimental methods to study problems of interest in healthcare.

  • Advanced MR Techniques for Neurodegenerative Diseases

    • 1st Edition
    • Volume 13
    • Kannie Wy Chan + 3 more
    • English
    Advanced MR Techniques for Neurodegenerative Diseases covers state of the art developments in physiologic, metabolic, functional, and microstructural MRI of the brain. It provides an overview of these approaches and includes dynamic contrast enhanced (DCE) MRI, dynamic susceptibility contrast (DSC) MRI, arterial spin labeling (ASL), chemical exchange saturation transfer (CEST) MRI, magnetic resonance spectroscopy (MRS), resting state functional MRI (rsfMRI), microscopic diffusion imaging, and quantitative susceptibility mapping (QSM). Chapters then follow that present the application of these methods to Alzheimer’s Disease and vascular dementia, small vessel disease, Parkinson’s Disease, Lewy body dementia, Huntington’s Disease, Amyotrophic Lateral Sclerosis, and Multiple Sclerosis.Advanced MR Techniques for Neurodegenerative Diseases is a comprehensive resource on the latest advanced MR techniques and their application to neurodegenerative diseases, suitable for MR engineers and physicists as well as clinicians and neuroscientists who use MR techniques for diagnosis and research.

  • Innovations and Human Factors Challenges in Healthcare Product Design

    • 1st Edition
    • Kamalpreet Sandhu + 3 more
    • English
    Innovations and Human Factors Challenges in Healthcare Product Design covers best practices and advanced design methods to capture, document, and validate various challenges at the early stage of the design process, also delving into how to mitigate design strategies to address those challenges without compromising the cost, effort, safety, and quality of the device. The book provides a comprehensive collection of technical notes, research designs, design methods and processes, case studies, comprehensive literature on the industrial impact of design methods and processes, and applications of digital technologies for design, analysis, manufacturing, testing, and deployment. Readers will find multidisciplinary coverage of the application of technology and science for product design in healthcare sectors.

  • Deep Learning Assessment of Neurological Imaging

    • 1st Edition
    • Tripti Goel + 3 more
    • English
    Deep Learning Assessment of Neurological Imaging provides an introduction to deep learning structures and pre-processing methods for detecting MRI anomalies. It also provides a comprehensive account of deep learning research on MRI images for Alzheimer's disease, Parkinson's disease, and schizophrenia, and a discussion on current research issues and future objectives. The book is a valuable resource to guide new entrants in the field to make a meaningful impact in their development efforts. The book concludes with a brief overview of the problems discussed and potential future advancements in the field.

  • Advances in Applied Microbiology

    • 1st Edition
    • Volume 134
    • English
    Advances in Applied Microbiology, Volume 134 presents a comprehensive exploration of the latest innovations in applied microbiology. The book delves into the diverse applications of microbiology across various industries, including agriculture, food production, biotechnology, environmental science, and healthcare. Through a collection of insightful chapters authored by experts in the field, readers are offered in-depth analyses of cutting-edge research, emerging trends, and practical applications of microbiological principles.From novel microbial technologies to the impact of microbiomes on human health and beyond, this book serves as a valuable resource for researchers, professionals, and students seeking to stay informed and inspired by the exciting advancements.

  • Intelligent Cyber-Physical Systems for Sustainable Healthcare

    • 1st Edition
    • Vandana Bajaj + 5 more
    • English
    Intelligent Cyber-Physical Systems for Sustainable Healthcare addresses the integration of emerging technologies like Virtual Reality, Smart Robotics, and Human-Computer Interaction, which are crucial for maximizing digital health's potential. The book includes case studies that highlight challenges faced by medical practitioners and industry professionals, providing valuable insights for designing sustainable iCPS solutions. Aimed at biomedical engineers, researchers, and industry professionals, it offers guidance for developing practical applications in sustainable healthcare. Additionally, shared, cross-disciplinary experiences assist engineers with less clinical expertise in enhancing healthcare applications in the intelligent digital health sector. Overall, case studies illustrate past challenges in the healthcare industry and present effective solutions to overcome them, making the book a comprehensive resource for advancing sustainable healthcare practices.

  • Advances in Applied Microbiology

    • 1st Edition
    • Volume 133
    • English
    Advances in Applied Microbiology, Volume 133 presents a comprehensive exploration of the latest innovations in applied microbiology. The book delves into the diverse applications of microbiology across various industries, including agriculture, food production, biotechnology, environmental science, and healthcare. Through a collection of insightful chapters authored by experts in the field, readers are offered in-depth analyses of cutting-edge research, emerging trends, and practical applications of microbiological principles.From novel microbial technologies to the impact of microbiomes on human health and beyond, this book serves as a valuable resource for researchers, professionals, and students seeking to stay informed and inspired by the exciting advancements.

  • Metaverse and AI in Healthcare

    A Federated Learning Approach
    • 1st Edition
    • Jyotir Moy Chatterjee + 1 more
    • English
    Metaverse and AI in Healthcare: A Federated Learning Approach addresses the transformative integration of artificial intelligence and metaverse technologies in healthcare. It fills a critical gap by exploring how federated learning enables secure, decentralized data sharing and personalized medicine in virtual health platforms, meeting urgent demands for privacy, interoperability, and innovation. The book is structured into four parts covering foundational AI and federated learning concepts, augmented reality and metaverse applications, legal and cybersecurity challenges, and emerging strategic trends. Contributors from academia and industry present chapters on predictive modeling, cybersecurity frameworks, AR fitness, legal perspectives, and AI-driven medical tourism, supported by case studies and technical explanations. This reference equips graduate students, researchers, and professionals in academia and industry who specialize in computer science, federated learning, biomedical engineering, and digital healthcare with practical knowledge and forward-looking analysis. It empowers readers to navigate evolving digital health ecosystems, addressing data privacy, customized care, and global access challenges through federated learning and metaverse solutions.

  • Deep Learning Applications in Neuroinformatics

    Advances, Methods, and Perspectives
    • 1st Edition
    • Karthik Ramamurthy
    • English
    Deep Learning Applications in Neuroinformatics: Advances, Methods, and Perspectives explores how deep learning revolutionizes neuroinformatics, covering the latest methods and applications of deep learning in analyzing neuroimaging data from EEG, MRI, PET, and more. The book addresses critical neurological disorders like Alzheimer’s disease, Mild Cognitive Impairment, Stroke, and Autism Spectrum Disorder, bridging the gap between neuroscience and artificial intelligence. It is an ideal resource for researchers, practitioners, and students with insights from leading experts.

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