Smart Diagnostics For Neurodegenerative Disorders

Smart Diagnostics for Neurodegenerative Disorders: Neuro-sensors explores all available biosensor-based approaches and technologies as well as their use in the diagnosis, prognosis and therapeutic management of a variety of neurological disorders such as Alzheimer's, Parkinson's and epileptic disorders. The book also discusses contemporary and revolutionary biosensor platforms that are being used to produce a quantitative quick lab-on-a-chip point-of-care (POC) assay for several types of predictive and diagnostic biomarkers linked with neurodegenerative disorders. It offers a combinatorial strategy for learning recent advances and designing new biosensor-based technologies in the fields of medical science, engineering and biomedical technology. Early detection of neurological conditions has the potential to treat the disease and extend the life expectancy of patients. Recent improvements in biosensor-based approaches that target specific cell surface biomarkers can be used for early detection of neurodegenerative disease. Provides an in-depth understanding of biomarkers associated with neurodegenerative disease to build and create a variety of biosensors Presents biosensor-based strategies to create and construct enhanced platforms for quick diagnosis of biomarkers linked to a variety of neurological illnesses Discusses the current challenges and future trends in developing diagnostic devices for early detection of neurodegenerative disorders, presenting new avenues for more sensitive and selective point-of-care devices

Neurodegeneration is characterized by the progressive loss of neural tissue that result in various neurodegeneration-initiated cerebral failures and complex diseases such as Alzheimer’s disease, Parkinson’s disease, Huntington’s disease. All these medical conditions are accompanied by the disruption of blood-brain barrier (BBB). The BBB is an interface, separating the brain from the circulatory system and protecting the central nervous system from potentially harmful chemicals while regulating transport of essential molecules and maintaining a stable environment. Owing to the inability of the neurons to regenerate on their own after neurodegeneration or severe damage to the neural tissue, neurodegenerative disorders do not have natural cures on their own. Neuroregeneration is a viable way to curb neurodegeneration. One of the current approaches is stem cell-based therapy that has been shown to be potentially helpful for the application of neuronal cell replacement for neuroregeneration. It is vital that the neurodegenerative disorder being detected at an early stage as it can provide a chance for treatment that may be helpful to prevent further progression of the fatal disease. Thus, research has focused on developing effective non-invasive diagnostic methods for early detection of these disorders. Molecular diagnostics can provide a powerful method to detect and diagnose various neurological disorders. Such diagnosis can enhance early detection, provide subsequent medical counsel based on medical pathway, as well as to gain better insight of neurogenesis and hopefully eventual cure of the neurodegenerative diseases. With research reports, reviews, mini-reviews and commentary, this research topic covers a wide range of areas in neurodegeneration research, including diagnosis and prognosis; regulating central nervous system; biomarkers and brain injury induced neurobehavioral outcomes among other timely reports on neurodegeneration.

Different healthcare technologies have been in use for decades. These technologies are continuously evolving and changing the way medicine will be practiced in the future. These technologies allow medical practice from anywhere, at any time, and from any device. These technologies are mainly concerned with the resources, devices, and methods required to optimize the acquisition, storage, retrieval, processing, and use of information in health. Recent Advancements in Smart Remote Patient Monitoring, Wearable Devices, and Diagnostics Systems provides relevant theoretical and practical frameworks, as well as the latest empirical research findings in the area. It provides insights and supports executives concerned with remote patient monitoring through wearable devices and diagnostics systems. Covering topics such as cloud computing, obesity monitoring systems, and photoacoustic imaging, this premier reference source is an essential resource for hospital administrators, medical technicians, healthcare professionals, medical students and educators, librarians, researchers, and academicians.

Nanofabrication for Smart Nanosensor Applications addresses the design, manufacture and applications of a variety of nanomaterials for sensing applications. In particular, the book explores how nanofabrication techniques are used to create more efficient nanosensors, examines their major applications in biomedicine and environmental science, discusses the fundamentals of how nanosensors work, explores different nanofabrication techniques, and comments on toxicity and safety issues relating to the creation of nanosensors using certain nanomaterial classes. This book is an important resource for materials scientists and engineers who want to make materials selection decisions for the creation of new nansensor devices. Summarizes current research and applications of a variety of nanofabrication techniques for the creation of efficient sensing devices Provides readers with an understanding of surfaces and interfaces, a key challenge for those working on hybrid nanomaterials, carbon nanotubes, graphene, polymers and liquid crystal electro-optical imaging Discusses the variability and sight recognition of biopolymers, such as DNA molecules, which offer a wide range of opportunities for the self-organization of nanostructures into much more complex patterns

With the advent of computational intelligence-based approaches, such as bio-inspired techniques, and the availability of clinical data from various complex experiments, medical consultants, researchers, neurologists, and oncologists, there is huge scope for CI-based applications in medical oncology and neurological disorders. This book focuses on interdisciplinary research in this field, bringing together medical practitioners dealing with neurological disorders and medical oncology along with CI investigators. The book collects high-quality original contributions, containing the latest developments or applications of practical use and value, presenting interdisciplinary research and review articles in the field of intelligent systems for computational oncology and neurological disorders. Drawing from work across computer science, physics, mathematics, medical science, psychology, cognitive science, oncology, and neurobiology among others, it combines theoretical, applied, computational, experimental, and clinical research. It will be of great interest to any neurology or oncology researchers focused on computational approaches.

This book explores the potential of hydrogels as a multiutility system and their benefits (biocompatibility, degradability, and supporting scaffolds) for a wide range of applications in diagnostics and therapeutics. It also discusses the future prospects and challenges facing hydrogels. A wide variety of smart hydrogels (conducting, stimuli responsive, and others) with possible biomedical applications are elaborated. The book demonstrates the effectiveness of hydrogels in diagnostics of diseases in various in vivo and in vitro environments and highlights the engineering/functionalization of hydrogels for everyday drug dosage as an efficient drug carrier, scaffold, and sensing application. Explores the potential of hydrogels as a multifunctional system and their benefits, particularly for biomedical applications in diagnostics as well as therapeutics. Highlights the designing and engineering of hydrogels for everyday drug dosage and possible functionalization to fabricate an efficient drug carrier. Examines the significance of biopolymer-based hydrogels and their responsiveness in different physiological fluids. Demonstrates the effectiveness of hydrogels in diagnostics of diseases in various in,vivo and in,vitro environments. Presents challenges associated with the hydrogels and discusses possible in-hand modifications at length. Dr. Anujit Ghosal worked in the School of Biotechnology, Jawaharlal Nehru University, India. Currently, he is affiliated with the School of Life Sciences, Beijing Institute of Technology, Beijing, PRC. Dr. Ghosal researches in biochemistry, polymer chemistry, and nanotechnology. He has been the recipient of prestigious fellowships throughout his research career. His research ability is proven by his published peer-reviewed research and review articles and contributed book chapters. Dr. Ajeet Kaushik works as an assistant professor of chemistry and is exploring advanced electrochemical sensing systems and nanomedicine for personalized health wellness at the Department of Natural Sciences of the Division of Science, Arts, and Mathematics at Florida Polytechnic University, Lakeland, US. He is the recipient of various reputed awards for his service in the area of nanobiotechnology for health care. His excellent research credentials are reflected by his four edited books, 100 international research peer-reviewed publications, and three patents in the area of nanomedicine and smart biosensors for personalized health care.

Advanced Biosensors for Virus Detection: Smart Diagnostics to Combat Against the SARS-CoV2 Pandemic covers the development of biosensor-based approaches for the diagnosis and prognosis of viral infections, specifically coronaviruses. The book discusses wide-ranging topics of available biosensor-based technologies and their application for early viral detection. Sections cover the emergence of SARS-CoV, MERS-CoV and SARS-CoV2, the global health response, the impact on affected populations, state-of-the art biomarkers, and risk factors. Specific focus is given to COVID-19, with coverage of genomic profiling, strain variation and the pathogenesis of SARS-CoV2. In addition, current therapeutics, nano-abled advancements and challenges in the detection of SARS-CoV2 and COVID-19 management are discussed, along with the role of nanomaterials in the development of biosensors and how biosensors can be scaled up for clinical applications and commercialization. Deals with biosensors-based approaches that could be exploited to design and develop high throughput, rapid and cost-effective diagnostics technologies for the early detection of viral infections Illustrates the development of multiplexed, miniaturized analytical systems for point-of-care applications Provides information about fabrication protocols for various biosensor based diagnostic approaches that could be directly implemented to develop a novel biosensor Includes the past, present and future status of biosensors, along with information about biosensors currently under clinical trials

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. 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.