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Early Detection In Alzheimers Disease Biomarkers And Machines

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The Cognitive Neurosciences

The Cognitive Neurosciences Book
Author : David Poeppel,George R. Mangun,Michael S. Gazzaniga
Publisher : MIT Press
Release : 2020-05-12
ISBN : 0262043254
Language : En, Es, Fr & De

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Book Description :

The sixth edition of the foundational reference on cognitive neuroscience, with entirely new material that covers the latest research, experimental approaches, and measurement methodologies. Each edition of this classic reference has proved to be a benchmark in the developing field of cognitive neuroscience. The sixth edition of The Cognitive Neurosciences continues to chart new directions in the study of the biological underpinnings of complex cognition—the relationship between the structural and physiological mechanisms of the nervous system and the psychological reality of the mind. It offers entirely new material, reflecting recent advances in the field, covering the latest research, experimental approaches, and measurement methodologies. This sixth edition treats such foundational topics as memory, attention, and language, as well as other areas, including computational models of cognition, reward and decision making, social neuroscience, scientific ethics, and methods advances. Over the last twenty-five years, the cognitive neurosciences have seen the development of sophisticated tools and methods, including computational approaches that generate enormous data sets. This volume deploys these exciting new instruments but also emphasizes the value of theory, behavior, observation, and other time-tested scientific habits. Section editors Sarah-Jayne Blakemore and Ulman Lindenberger, Kalanit Grill-Spector and Maria Chait, Tomás Ryan and Charan Ranganath, Sabine Kastner and Steven Luck, Stanislas Dehaene and Josh McDermott, Rich Ivry and John Krakauer, Daphna Shohamy and Wolfram Schultz, Danielle Bassett and Nikolaus Kriegeskorte, Marina Bedny and Alfonso Caramazza, Liina Pylkkänen and Karen Emmorey, Mauricio Delgado and Elizabeth Phelps, Anjan Chatterjee and Adina Roskies

Neuroimaging biomarkers in Alzheimer s disease

Neuroimaging biomarkers in Alzheimer   s disease Book
Author : Samuel Barrack
Publisher : iMedPub
Release : 2013-10
ISBN : 1492274429
Language : En, Es, Fr & De

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Book Description :

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.

The Importance of Health Informatics in Public Health during a Pandemic

The Importance of Health Informatics in Public Health during a Pandemic Book
Author : J. Mantas,A. Hasman,M.S. Househ
Publisher : IOS Press
Release : 2020-07-24
ISBN : 1643680935
Language : En, Es, Fr & De

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Book Description :

The COVID-19 pandemic has increased the focus on health informatics and healthcare technology for policy makers and healthcare professionals worldwide. This book contains the 110 papers (from 160 submissions) accepted for the 18th annual International Conference on Informatics, Management, and Technology in Healthcare (ICIMTH 2020), held virtually in Athens, Greece, from 3 – 5 July 2020. The conference attracts scientists working in the field of Biomedical and Health Informatics from all continents, and this year it was held as a Virtual Conference, by means of teleconferencing, due to the COVID-19 pandemic and the consequent lockdown in many countries around the world. The call for papers for the conference started in December 2019, when signs of the new virus infection were not yet evident, so early submissions were on the usual topics as announced. But papers submitted after mid-March were mostly focused on the first results of the pandemic analysis with respect to informatics in different countries and with different perspectives of the spread of the virus and its influence on public health across the world. This book therefore includes papers on the topic of the COVID-19 pandemic in relation to informatics reporting from hospitals and institutions from around the world, including South Korea, Europe, and the USA. The book encompasses the field of biomedical and health informatics in a very broad framework, and the timely inclusion of papers on the current pandemic will make it of particular interest to all those involved in the provision of healthcare everywhere.

Early Detection in Alzheimer s Disease

Early Detection in Alzheimer s Disease Book
Author : Dennis Chan
Publisher : Academic Press
Release : 2021-09-15
ISBN : 9780128222409
Language : En, Es, Fr & De

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Book Description :

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

Early Detection of Neurological Disorders Using Machine Learning Systems

Early Detection of Neurological Disorders Using Machine Learning Systems Book
Author : Paul, Sudip,Bhattacharya, Pallab,Bit, Arindam
Publisher : IGI Global
Release : 2019-06-28
ISBN : 1522585680
Language : En, Es, Fr & De

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Book Description :

While doctors and physicians are more than capable of detecting diseases of the brain, the most agile human mind cannot compete with the processing power of modern technology. Utilizing algorithmic systems in healthcare in this way may provide a way to treat neurological diseases before they happen. Early Detection of Neurological Disorders Using Machine Learning Systems provides innovative insights into implementing smart systems to detect neurological diseases at a faster rate than by normal means. The topics included in this book are artificial intelligence, data analysis, and biomedical informatics. It is designed for clinicians, doctors, neurologists, physiotherapists, neurorehabilitation specialists, scholars, academics, and students interested in topics centered on biomedical engineering, bio-electronics, medical electronics, physiology, neurosciences, life sciences, and physics.

Research Anthology on Diagnosing and Treating Neurocognitive Disorders

Research Anthology on Diagnosing and Treating Neurocognitive Disorders Book
Author : Management Association, Information Resources
Publisher : IGI Global
Release : 2020-08-30
ISBN : 1799834425
Language : En, Es, Fr & De

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Book Description :

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.

Machine Learning in Healthcare Informatics

Machine Learning in Healthcare Informatics Book
Author : Sumeet Dua,U. Rajendra Acharya,Prerna Dua
Publisher : Springer Science & Business Media
Release : 2013-12-09
ISBN : 3642400175
Language : En, Es, Fr & De

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Book Description :

The book is a unique effort to represent a variety of techniques designed to represent, enhance, and empower multi-disciplinary and multi-institutional machine learning research in healthcare informatics. The book provides a unique compendium of current and emerging machine learning paradigms for healthcare informatics and reflects the diversity, complexity and the depth and breath of this multi-disciplinary area. The integrated, panoramic view of data and machine learning techniques can provide an opportunity for novel clinical insights and discoveries.

Machine Learning in Medical Imaging

Machine Learning in Medical Imaging Book
Author : Fei Wang,Pingkun Yan,Kenji Suzuki,Dinggang Shen
Publisher : Springer Science & Business Media
Release : 2010-09-03
ISBN : 3642159478
Language : En, Es, Fr & De

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Book Description :

This book constitutes the refereed proceedings of the First International Workshop on Machine Learning in Medical Imaging, MLMI 2010, held in conjunction with MICCAI 2010, in Beijing, China, in September 2010. The 23 revised full papers presented were carefully reviewed and selected from 38 submissions. The papers address topics such as machine learning applications to medical images, medical image analysis, multi-modality fusion, image reconstruction for medical imaging, computer-aided detection/diagnosis, medical image retrieval, cellular image analysis, molecular/pathologic image analysis, and dynamic, functional, physiologic, and anatomic imaging.

Science

Science Book
Author : John Michels (Journalist)
Publisher : Unknown
Release : 2006
ISBN : 0987650XXX
Language : En, Es, Fr & De

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Book Description :

Download Science book written by John Michels (Journalist), available in PDF, EPUB, and Kindle, or read full book online anywhere and anytime. Compatible with any devices.

Contemporary Psychiatric mental Health Nursing

Contemporary Psychiatric mental Health Nursing Book
Author : Carol A. Glod
Publisher : F A Davis Company
Release : 1998
ISBN : 0987650XXX
Language : En, Es, Fr & De

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Book Description :

This unique text presents the most current biological and behavioral theories of mental illness. The emphasis is on the practical application of information to help students understand the experience of what it means to have a particular disorder, and how it feels to be on psychotropic medication. Also, a variety of therapies are covered and treatment in the community is stressed.

Predictive Imagable Biomarkers for Brain Disorders

Predictive Imagable Biomarkers for Brain Disorders Book
Author : Pravat K. Mandal,Lars Ersland
Publisher : Frontiers Media SA
Release : 2019-09-19
ISBN : 288963048X
Language : En, Es, Fr & De

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Book Description :

Recent research on Neurodegenerative disorders such as Alzheimer's Disease, Parkinson's Disease, etc. and Neuropsychiatric disorders such as Schizophrenia, has shown strong evidence that altered brain tissue structure, physiology, and connectivity reflect the extent of severity of behavioral and physical abnormalities. With the advancement of high field strength MR technologies like MRS (Magnetic Resonance Spectroscopy), fMRI (functional Magnetic Resonance Imaging) and DTI (Diffusion Tensor Imaging), it has become possible to non-invasively measure these changes brain microenvironment in terms of levels of antioxidants; neurotransmitters; regional activity, susceptibility and connectivity during transition from healthy to pathological conditions, and during progression of disease stages. Advanced Machine Learning (ML) and Statistical modeling algorithms are utilizing features extracted from multimodal MR based, neuropsychological and neurophysiological data to build classifiers that identify highly sensitive and specific biomarkers to aid in understanding the causal processes of these brain disorders and can be translated from bench to bedside clinical practices for non-invasive diagnostic testing. It is also important to have global clinical research data sharing platforms that utilize data mining and ML to identify early biomarkers and test the sensitivity of old ones from time to time with advancement in research. This Research Topic updates the reader about the latest research in imagable biomarkers using MR methodologies and use of AI for testing the sensitivity of these biomarkers.

Bioinformatics Methods in Clinical Research

Bioinformatics Methods in Clinical Research Book
Author : Rune Matthiesen
Publisher : Humana
Release : 2010
ISBN : 0987650XXX
Language : En, Es, Fr & De

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Book Description :

Integrated bioinformatics solutions have become increasingly valuable in past years, as technological advances have allowed researchers to consider the potential of omics for clinical diagnosis, prognosis, and therapeutic purposes, and as the costs of such techniques have begun to lessen. In Bioinformatics Methods in Clinical Research, experts examine the latest developments impacting clinical omics, and describe in great detail the algorithms that are currently used in publicly available software tools. Chapters discuss statistics, algorithms, automated methods of data retrieval, and experimental consideration in genomics, transcriptomics, proteomics, and metabolomics. Composed in the highly successful Methods in Molecular BiologyTM series format, each chapter contains a brief introduction, provides practical examples illustrating methods, results, and conclusions from data mining strategies wherever possible, and includes a Notes section which shares tips on troubleshooting and avoiding known pitfalls. Informative and ground-breaking, Bioinformatics Methods in Clinical Research establishes a much-needed bridge between theory and practice, making it an indispensable resource for bioinformatics researchers.

Mergent OTC Unlisted Manual

Mergent OTC Unlisted Manual Book
Author : Anonim
Publisher : Unknown
Release : 2009
ISBN : 0987650XXX
Language : En, Es, Fr & De

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Book Description :

Download Mergent OTC Unlisted Manual book written by , available in PDF, EPUB, and Kindle, or read full book online anywhere and anytime. Compatible with any devices.

The Journals of Gerontology

The Journals of Gerontology Book
Author : Anonim
Publisher : Unknown
Release : 2009
ISBN : 0987650XXX
Language : En, Es, Fr & De

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Book Description :

Download The Journals of Gerontology book written by , available in PDF, EPUB, and Kindle, or read full book online anywhere and anytime. Compatible with any devices.

Alzheimer s Disease

Alzheimer s Disease Book
Author : Khalid Iqbal,Sangram S. Sisodia,Bengt Winblad
Publisher : Wiley-Blackwell
Release : 2001
ISBN : 0987650XXX
Language : En, Es, Fr & De

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Book Description :

Alzheimer's Disease is an ever-present problem affecting millions of people around the world and, as people's average lifespan lengthens, its prevalence is set to increase. A global effort is needed to combat the disease, including research to investigate the causes, development of effective treatments and, ultimately, prevention of the disease. Published every two years, these timely books discuss the very latest research. This new volume in the series: Provides a uniques source of reference to the important work being done in this field Gives academics and clinicians an opportunity to learn about cutting edge developments Covers all aspects of Alzheimer's Disease, including diagnosis, clinical course, epidemiological course and therapeutics and disease mechanisms. Alzheimer's Disease: Advances in Etiology, Pathogenesis and Therapeutics and Therapeutics will provide essential information for basic and clinical researchers in Alzheimer's Disease and other dementias as well as for those who care for patients.

Introduction to Machine Learning and Bioinformatics

Introduction to Machine Learning and Bioinformatics Book
Author : Sushmita Mitra,Sujay Datta,George Michailidis,Theodore Perkins
Publisher : Chapman and Hall/CRC
Release : 2008-06-05
ISBN : 0987650XXX
Language : En, Es, Fr & De

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Book Description :

This title describes the main problems in bioinformatics and explains the fundamental concepts and algorithms of machine learning. Illustrative examples from bioinformatics demonstrate the capabilities of state-of-the-art machine learning techniques and how they can be applied to bioinformatics problems.

The Healthcare Mandate How to Leverage Disruptive Innovation to Heal America s Biggest Industry

The Healthcare Mandate  How to Leverage Disruptive Innovation to Heal America   s Biggest Industry Book
Author : Nicholas Webb
Publisher : McGraw Hill Professional
Release : 2020-09-08
ISBN : 1260468135
Language : En, Es, Fr & De

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Book Description :

A top healthcare futurist and consultant shows healthcare professionals and stakeholders how to redirect resources and leverage innovation to improve wellness and lower costs. Despite being the wealthiest nation on earth, the United States spends much of its healthcare money and resources pursuing the wrong goal: curing people after they get sick. In this provocative book, Nicholas J. Webb charts a bold new path that puts the focus not on reactionary treatment but on anticipation and prevention. Webb argues that we have a unique opportunity to leverage disruptive innovation to fulfill these goals. Emerging digital technologies now make it possible to collect, analyze, and act upon the enormous quantities of health-related data that every individual generates every day. This data often foreshadows disease and can alert the healthcare provider to the existence of a life-threatening condition before there are any outward symptoms, thereby enabling caregivers to pivot from treatment after the fact to anticipation, prevention, and, when necessary, reduced treatment to correct a smaller problem. This is The Healthcare Mandate—a powerful and illuminating guide to the new tools that healthcare professionals can start using right now to: See their clients not only as patients to be cured but as constituents to keep healthy. Identify and respond to emerging health problems as early as possible. Access and share constituent data with other healthcare providers. Navigate the increasingly complex world of patient data rights. Meet the challenge of non-medical online healthcare providers. Address constituent lifestyle choices that lead to obesity, diabetes, and heart disease. Respond to the increasing consumerization of healthcare. Drawing upon his decades of experience as an industry expert with dozens of medical patents, Webb offers a positive and achievable vision for the future of healthcare.

Machine Learning in Medical Imaging

Machine Learning in Medical Imaging Book
Author : Luping Zhou,Li Wang,Qian Wang,Yinghuan Shi
Publisher : Springer
Release : 2015-10-08
ISBN : 331924888X
Language : En, Es, Fr & De

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Book Description :

This book constitutes the proceedings of the 6th International Workshop on Machine Learning in Medical Imaging, MLMI 2015, held in conjunction with MICCAI 2015, in Munich in October 2015. The 40 full papers presented in this volume were carefully reviewed and selected from 69 submissions. The workshop focuses on major trends and challenges in the area of machine learning in medical imaging and present works aimed to identify new cutting-edge techniques and their use in medical imaging.

Binswanger s Disease Biomarkers in the Inflammatory Form of Vascular Cognitive Impairment and Dementia

Binswanger s Disease  Biomarkers in the Inflammatory Form of Vascular Cognitive Impairment and Dementia Book
Author : Anonim
Publisher : Unknown
Release : 2017
ISBN : 0987650XXX
Language : En, Es, Fr & De

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Book Description :

Abstract: Vascular cognitive impairment and dementia (VCID) is a major public health concern because of the increased incidence of vascular disease in the aging population and the impact of vascular disease on Alzheimer's disease. VCID is a heterogeneous group of diseases for which there are no proven treatments. Biomarkers can be used to select more homogeneous populations. Small vessel disease is the most prevalent form of VCID and is the optimal form for treatment trials because there is a progressive course with characteristic pathological changes. Subcortical ischemic vascular disease of the Binswanger type (SIVD‐BD) has a characteristic set of features that can be used both to identify patients and to follow treatment. SIVD‐BD patients have clinical, neuropsychological, cerebrospinal fluid (CSF) and imaging features that can be used as biomarkers. No one feature is diagnostic, but a multimodal approach defines the SIVD‐BD spectrum disorder. The most important features are large white matter lesions with axonal damage, blood–brain barrier disruption as shown by magnetic resonance imaging and CSF, and neuropsychological evidence of executive dysfunction. We have used these features to create a Binswanger Disease Scale and a probability of SIVD‐BD, using a machine‐learning algorithm. The patients discussed in this review are derived from published studies. Biomarkers not only aid in early diagnosis before the disease process has progressed too far for treatment, but also can indicate response to treatment. Refining the use of biomarkers will allow dementia treatment to enter the era of precision medicine. This article is part of the Special Issue "Vascular Dementia" . Abstract : Vascular cognitive impairment and dementia (VCID) is a major public health concern because of the increased incidence of vascular disease in the aging population and the impact of vascular disease on Alzheimer's disease. Subcortical ischemic vascular disease of the Binswanger type (SIVD‐BD) has a characteristic set of features that can be used both to identify patients and to follow treatment. We have used clinical features to create a Binswanger Disease Scale and a probability of SIVD‐BD, using a machine‐learning algorithm. Refining the use of biomarkers will allow dementia treatment to enter the era of precision medicine. The schematic shows the matrix metalloprotinase mechanism involved in blood–brain barrier opening in chronic vascular disease. This article is part of the Special Issue "Vascular Dementia" .

Identifying Neuroimaging Based Markers for Distinguishing Brain Disorders

Identifying Neuroimaging Based Markers for Distinguishing Brain Disorders Book
Author : Yuhui Du,Jing Sui,Dongdong Lin
Publisher : Frontiers Media SA
Release : 2020-07-10
ISBN : 2889634043
Language : En, Es, Fr & De

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Book Description :

There has been increasing interests in exploring biomarkers from brain images, aiming to have a better understanding and a more effective diagnosis of brain disorders such as schizophrenia, bipolar disorder, schizoaffective disorder, autism spectrum disorder, attention-deficit/hyperactivity disorder, Alzheimer’s disease and so on. Therefore, it is important to identify disease-specific changes for distinguishing healthy controls and patients with brain disorders as well as for differentiating patients with different disorders showing similar clinical symptoms. Biomarkers can be identified from different types of brain Imaging techniques including functional magnetic resonance imaging (fMRI), structural MRI, positron emission tomography (PET), electroencephalography (EEG), and magnetoencephalography (MEG) by using statistical analysis methods. Furthermore, based on measures from brain imaging techniques, machine learning techniques can help to classify or predict disease for individual subjects. In fact, fusion of features from multiple modalities may benefit the understanding of disease mechanism and improve the classification performance. This Research Topic further explores the functional or structural alterations in brain disorders.