Neuroimaging biomarkers in Alzheimer   s disease Book
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Neuroimaging biomarkers in Alzheimer s disease


  • Author : Samuel Barrack
  • Publisher : iMedPub
  • Release Date : 2013-10-20
  • Genre: Health & Fitness
  • Pages : 134
  • ISBN 10 : 9781492274421

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Neuroimaging biomarkers in Alzheimer s disease Excerpt :

In view of the growing prevalence of AD worldwide, there is an urgent need for the development of better diagnostic tools and more effective therapeutic interventions. Indeed, much work in this field has been done during last decades. As such, a major goal of current clinical research in AD is to improve early detection of disease and presymptomatic detection of neuronal dysfunction, concurrently with the development of better tools to assess disease progression in this group of disorders. All these putative correlates are commonly referred to as AD-related biomarkers. The ideal biomarker should be easy to quantify and measure, reproducible, not subject to wide variation in the general population and unaffected by co- morbid factors. For evaluation of therapies, a biomarker needs to change linearly with disease progression and closely correlate with established clinico-pathological parameters of the disease. There is growing evidence that the use of biomarkers will increase our ability to better indentify the underlying biology of AD, especially in its early stages. These biomarkers will improve the detection of the patients suitable for research studies and drug trials, and they will contribute to a better management of the disease in the clinical practice. Indeed, much work in this field has been done during last decades. The vast number of important applications, combined with the untamed diversity of already identified biomarkers, show that there is a pressing need to structure the research made on AD biomarkers into a solid, comprehensive and easy to use tool to de deployed in clinical settings. To date there are few publications compiling results on this topic. That is why when I was asked to address this task I accepted inmediately. I am happy to present you a bundle of the best articles published about biomarkers for Alzheimer’s disease in recent times.

Early Detection in Alzheimer s Disease Book

Early Detection in Alzheimer s Disease


  • Author : Dennis Chan
  • Publisher : Academic Press
  • Release Date : 2021-09-15
  • Genre: Medical
  • Pages : 300
  • ISBN 10 : 0128222409

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Early Detection in Alzheimer s Disease Excerpt :

Early Detection of Alzheimer's Disease aims to introduce to a wide audience the high global priority problem of detecting AD prior to dementia onset. According to the Alzheimer's Association, 5.8 million Americans are living with Alzheimer's and care costs will cost the nation approximately $290 billion (2019 Alzheimer's Disease Facts and Figures). With the failure of recent AD drug trials, many hypothesize that by the time symptoms appear, it is too late to be treated. Early detection can offer benefits such as more choice of medications, ability to participate in clinical trials, more time for family and for care planning. This book outlines potential solutions to the above problem using opportunities arising from the technology revolution, advances in neuroscience, and molecular biology. Most importantly, it discusses a paradigm shift from a reactive to a proactive diagnostic approach, aiming to detect disease before occurrence of symptoms. Topics covered include the use of sensing technologies (eg smartphones, smartwatches, Internet of Things) to detect early disease-related changes , the application of data science (machine learning/AI) to extract otherwise invisible disease features from these datasets and the potential to personalize diagnosis based on tracking changes in individual behaviours. Advances in blood-based biomarkers, brain imaging, and the potential for early diagnosis to aid interventions (lifestyle, dietary, pharmacological) to delay future development of dementia are also discussed. Outlines the importance of early diagnosis of Alzheimer's Disease Helps readers understand the limitations of current clinical approaches and the need for a paradigmatic shift in diagnostic practice Discusses the potential role of technology in clinical practice using machine learning and artificial intelligence and the potential to personize diagnosis and treatment

Novel Biomarkers in Alzheimer rsquo s Disease Book

Novel Biomarkers in Alzheimer rsquo s Disease


  • Author : Chiara Villa
  • Publisher : MDPI
  • Release Date : 2021-02-05
  • Genre: Science
  • Pages : 442
  • ISBN 10 : 9783039439034

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Novel Biomarkers in Alzheimer rsquo s Disease Excerpt :

Alzheimer’s disease (AD) represents the most common form of dementia in the elderly population worldwide. AD is characterized by progressive neurodegeneration that leads to a gradual deterioration of memory and other cognitive functions. Given the global prevalence and impact of AD, there is a critical need to establish biomarkers that can be used to detect AD in individuals before the onset of clinical signs and provide mitigating therapeutics. The aim of this Special Issue is to discuss the current knowledge as well as future perspectives on the role of biomarkers in the screening, diagnosis, treatment and follow-up of AD.

Early Diagnosis of Alzheimer   s Disease Book

Early Diagnosis of Alzheimer s Disease


  • Author : Leonard F. M. Scinto
  • Publisher : Springer Science & Business Media
  • Release Date : 2000-02-09
  • Genre: Medical
  • Pages : 359
  • ISBN 10 : 9781592590056

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Early Diagnosis of Alzheimer s Disease Excerpt :

Drs. Leonard Scinto and Kirk Daffner provide a comprehensive survey of new diagnostic approaches to Alzheimer's disease. The authoritative contributors critically survey the most promising current research on early diagnostic markers for Alzheimer's disease, including the elucidation of changes in the brain revealed by structural and functional neuroimaging, as well as the characteristic patterns of cognitive decline that are documented by sensitive neuropsychological tests, various genetic markers, and biological assays. Early Diagnosis of Alzheimer's Disease illuminates the complex issues surrounding the search for early markers of this increasingly widespread disease. It will establish a new standard reference guide for all those working with Alzheimer's patients.

Biological Markers of Alzheimer   s Disease Book

Biological Markers of Alzheimer s Disease


  • Author : Francois Boller
  • Publisher : Springer Science & Business Media
  • Release Date : 2013-03-08
  • Genre: Medical
  • Pages : 169
  • ISBN 10 : 9783642466908

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Biological Markers of Alzheimer s Disease Excerpt :

This volume presents the proceedings of the symposium held in Toulouse on April 24, 1989, on the topic "Biological Markers of Alzheimer's Disease. " This sym posium was the fourth of a continuing and successful series of Colloques Medecine et Recherche organized by the Fondation IPSEN pour la Recherche Therapeutique, addressing various aspects of contemporary research in the field of Alzheimer's disease (AD). The series started in September 1987 with "Im munology and Alzheimer's Disease," followed 6 months later in Paris by "Gene tics and Alzheimer's Disease" and in September 1988 in Montpellier by "Neuronal Grafting and Alzheimer's Disease. " The present symposium was organized for the purpose of gathering the most current ideas concerning biological markers of AD. The papers presented at this symposium may be roughly subdivided into three groups. The first deals with the markers of AD at the level of the brain itself. These markers are studied either through the cerebrospinal fluid or through techniques such as nuclear magnetic resonance (NMR) - approaches which respectively aim at demonstrating the cerebral changes indicated by the debris resulting from the disease, or studying the possible neurochemical abnormalities that occur in the earlier stages of AD.

Research Anthology on Diagnosing and Treating Neurocognitive Disorders Book

Research Anthology on Diagnosing and Treating Neurocognitive Disorders


  • Author : Management Association, Information Resources
  • Publisher : IGI Global
  • Release Date : 2020-08-30
  • Genre: Medical
  • Pages : 671
  • ISBN 10 : 9781799834427

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Research Anthology on Diagnosing and Treating Neurocognitive Disorders Excerpt :

Cognitive impairment, through Alzheimer’s disease or other related forms of dementia, is a serious concern for afflicted individuals and their caregivers. Understanding patients’ mental states and combatting social stigmas are important considerations in caring for cognitively impaired individuals. Technology is playing an increasing role in the lives of the elderly. One of the most prevalent developments for the aging population is the use of technological innovations for intervention and treatment of individuals with mental impairments. Research Anthology on Diagnosing and Treating Neurocognitive Disorders examines the treatment, diagnosis, prevention, and therapeutic and technological interventions of neurodegenerative disorders. It also describes programs and strategies that professional and family caregivers can implement to engage and improve the quality of life of persons suffering from cognitive impairment. Highlighting a range of topics such as dementia, subjective wellbeing, and cognitive decline, this publication is an ideal reference source for speech pathologists, social workers, occupational therapists, psychologists, psychiatrists, neurologists, pediatricians, researchers, clinicians, and academicians seeking coverage on neurocognitive disorder identification and strategies for clinician support and therapies.

Innovations in Bio Inspired Computing and Applications Book

Innovations in Bio Inspired Computing and Applications


  • Author : Ajith Abraham
  • Publisher : Springer Nature
  • Release Date : 2022-02-21
  • Genre: Technology & Engineering
  • Pages : 866
  • ISBN 10 : 9783030962999

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Innovations in Bio Inspired Computing and Applications Excerpt :

This book highlights recent research on bio-inspired computing and its various innovative applications in information and communication technologies. It presents 80 high-quality papers from the 12th International Conference on Innovations in Bio-Inspired Computing and Applications (IBICA 2021) and 11th World Congress on Information and Communication Technologies (WICT 2021), which was held online during December 16–18, 2021. As a premier conference, IBICA–WICT brings together researchers, engineers and practitioners whose work involves bio-inspired computing, computational intelligence and their applications in information security, real-world contexts, etc. Including contributions by authors from 25 countries, the book offers a valuable reference guide for all researchers, students and practitioners in the fields of Computer Science and Engineering.

Machine Learning in Medical Imaging Book

Machine Learning in Medical Imaging


  • Author : Guorong Wu
  • Publisher : Springer
  • Release Date : 2013-09-18
  • Genre: Computers
  • Pages : 262
  • ISBN 10 : 9783319022673

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Machine Learning in Medical Imaging Excerpt :

This book constitutes the refereed proceedings of the 4th International Workshop on Machine Learning in Medical Imaging, MLMI 2013, held in conjunction with the International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2013, in Nagoya, Japan, in September 2013. The 32 contributions included in this volume were carefully reviewed and selected from 57 submissions. They focus on major trends and challenges in the area of machine learning in medical imaging and aim to identify new cutting-edge techniques and their use in medical imaging.

Alzheimer s Disease Drug Development Book

Alzheimer s Disease Drug Development


  • Author : Jeffrey Cummings
  • Publisher : Cambridge University Press
  • Release Date : 2022-03-31
  • Genre: Business & Economics
  • Pages : 575
  • ISBN 10 : 9781108838665

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Alzheimer s Disease Drug Development Excerpt :

Provides a definitive overview of the complex ecosystem facilitating Alzheimer's Disease drug research and development. Demonstrates a drug's journey from in the lab, clinical trial testing, regulatory review, and marketing by pharmaceutical companies. Details the use of artificial intelligence, clinical trial management, and financing models.

Interpretability of Machine Intelligence in Medical Image Computing  and Topological Data Analysis and Its Applications for Medical Data Book

Interpretability of Machine Intelligence in Medical Image Computing and Topological Data Analysis and Its Applications for Medical Data


  • Author : Mauricio Reyes
  • Publisher : Springer Nature
  • Release Date : 2021-09-21
  • Genre: Computers
  • Pages : 129
  • ISBN 10 : 9783030874445

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Interpretability of Machine Intelligence in Medical Image Computing and Topological Data Analysis and Its Applications for Medical Data Excerpt :

This book constitutes the refereed joint proceedings of the 4th International Workshop on Interpretability of Machine Intelligence in Medical Image Computing, iMIMIC 2020, and the First International Workshop on Topological Data Analysis and Its Applications for Medical Data, TDA4MedicalData 2021, held on September 27, 2021, in conjunction with the 24th International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2021. The 7 full papers presented at iMIMIC 2021 and 5 full papers held at TDA4MedicalData 2021 were carefully reviewed and selected from 12 submissions each. The iMIMIC papers focus on introducing the challenges and opportunities related to the topic of interpretability of machine learning systems in the context of medical imaging and computer assisted intervention. TDA4MedicalData is focusing on using TDA techniques to enhance the performance, generalizability, efficiency, and explainability of the current methods applied to medical data.

Artificial Intelligence Machine Learning in Nuclear Medicine and Hybrid Imaging Book

Artificial Intelligence Machine Learning in Nuclear Medicine and Hybrid Imaging


  • Author : Patrick Veit-Haibach
  • Publisher : Springer Nature
  • Release Date : 2022-06-22
  • Genre: Medical
  • Pages : 210
  • ISBN 10 : 9783031001192

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Artificial Intelligence Machine Learning in Nuclear Medicine and Hybrid Imaging Excerpt :

This book includes detailed explanations of the underlying technologies and concepts used in Artificial Intelligence (AI) and Machine Learning (ML) in the context of nuclear medicine and hybrid imaging. A diverse team of authors, including pioneers in the field and respected experts from leading international institutions, share their insights, opinions and outlooks on this exciting topic. A wide range of clinical applications are discussed, from brain applications to body indications, as well as the applicability of AI and ML for cardio-vascular conditions. The book also considers the potential impact of theranostics. To balance the technology-heavy and disease-specific applications, it also discusses ethical / legal issues, economic realities and the human factor, the physician. Though this discussion is not based on research and outcomes, it provides important insights into the ramifications of how AI and ML could transform Nuclear Medicine and Hybrid Imaging practice. As the first work highlighting the role of these concepts specifically in this field, rather than for medical imaging in general, this book offers a valuable resource for Nuclear Medicine Physicians, Radiologists, Physicists, Medical Imaging Administrators and Nuclear Medicine Technologists alike.

Machine Intelligence and Signal Analysis Book

Machine Intelligence and Signal Analysis


  • Author : M. Tanveer
  • Publisher : Springer
  • Release Date : 2018-08-07
  • Genre: Technology & Engineering
  • Pages : 767
  • ISBN 10 : 9789811309236

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Machine Intelligence and Signal Analysis Excerpt :

The book covers the most recent developments in machine learning, signal analysis, and their applications. It covers the topics of machine intelligence such as: deep learning, soft computing approaches, support vector machines (SVMs), least square SVMs (LSSVMs) and their variants; and covers the topics of signal analysis such as: biomedical signals including electroencephalogram (EEG), magnetoencephalography (MEG), electrocardiogram (ECG) and electromyogram (EMG) as well as other signals such as speech signals, communication signals, vibration signals, image, and video. Further, it analyzes normal and abnormal categories of real-world signals, for example normal and epileptic EEG signals using numerous classification techniques. The book is envisioned for researchers and graduate students in Computer Science and Engineering, Electrical Engineering, Applied Mathematics, and Biomedical Signal Processing.