Early Detection in Alzheimer s Disease

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  • Publisher : Academic Press
  • Release : 15 September 2021
  • ISBN : 0128222409
  • Page : 300 pages
  • Rating : 4.5/5 from 103 voters

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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

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Early Detection in Alzheimer's Disease

Early Detection in Alzheimer's Disease
  • Author : Dennis Chan
  • Publisher : Academic Press
  • Release Date : 2021-09-15
  • ISBN : 0128222409
GET THIS BOOKEarly Detection in Alzheimer's Disease

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

Neuroimaging biomarkers in Alzheimer’s disease

Neuroimaging biomarkers in Alzheimer’s disease
  • Author : Samuel Barrack
  • Publisher : iMedPub
  • Release Date : 2013-10-20
  • ISBN : 9781492274421
GET THIS BOOKNeuroimaging biomarkers in Alzheimer’s disease

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

Novel Biomarkers in Alzheimer’s Disease

Novel Biomarkers in Alzheimer’s Disease
  • Author : Chiara Villa
  • Publisher : MDPI
  • Release Date : 2021-02-05
  • ISBN : 9783039439034
GET THIS BOOKNovel Biomarkers in Alzheimer’s Disease

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

Study of Longitudinal Neurodegeneration Biomarkers to Support the Early Diagnosis of Alzheimer's Disease

Study of Longitudinal Neurodegeneration Biomarkers to Support the Early Diagnosis of Alzheimer's Disease
  • Author : Giovana Gavidia Bovadilla
  • Publisher : Unknown
  • Release Date : 2019
  • ISBN : OCLC:1120680728
GET THIS BOOKStudy of Longitudinal Neurodegeneration Biomarkers to Support the Early Diagnosis of Alzheimer's Disease

Alzheimer's Disease (AD) is a progressive and neurodegenerative disorder characterized by pathological brain changes starting several years before clinical symptoms appear. Earlier and accurate identification of those brain structures changes can help to improve diagnosis and monitoring, allowing that future treatments target the disease in its earliest stages, before irreversible brain damage or mental decline takes place. The brain of AD subjects shrinks significantly as the disease progress. Furthermore, ageing is the major risk factor for sporadic AD, older brains

Early Diagnosis of Alzheimer’s Disease

Early Diagnosis of Alzheimer’s Disease
  • Author : Leonard F. M. Scinto,Kirk R. Daffner
  • Publisher : Springer Science & Business Media
  • Release Date : 2000-02-09
  • ISBN : 9781592590056
GET THIS BOOKEarly Diagnosis of Alzheimer’s Disease

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

Research Anthology on Diagnosing and Treating Neurocognitive Disorders

Research Anthology on Diagnosing and Treating Neurocognitive Disorders
  • Author : Management Association, Information Resources
  • Publisher : IGI Global
  • Release Date : 2020-08-30
  • ISBN : 9781799834427
GET THIS BOOKResearch Anthology on Diagnosing and Treating Neurocognitive Disorders

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

Alzheimer's Dementia Recognition Through Spontaneous Speech

Alzheimer's Dementia Recognition Through Spontaneous Speech
  • Author : Fasih Haider,Saturnino Luz,Davida Fromm,Brian MacWhinney
  • Publisher : Frontiers Media SA
  • Release Date : 2021-12-22
  • ISBN : 9782889718542
GET THIS BOOKAlzheimer's Dementia Recognition Through Spontaneous Speech

Innovations in Bio-Inspired Computing and Applications

Innovations in Bio-Inspired Computing and Applications
  • Author : Ajith Abraham,Ana Maria Madureira,Arturas Kaklauskas,Niketa Gandhi,Anu Bajaj,Azah Kamilah Muda,Dalia Kriksciuniene,João Carlos Ferreira
  • Publisher : Springer Nature
  • Release Date : 2022-02-21
  • ISBN : 9783030962999
GET THIS BOOKInnovations in Bio-Inspired Computing and Applications

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

On Prediction of Early Signs of Alzheimer's

On Prediction of Early Signs of Alzheimer's
  • Author : Abdalrahman Alsaedi
  • Publisher : Unknown
  • Release Date : 2021
  • ISBN : OCLC:1331801775
GET THIS BOOKOn Prediction of Early Signs of Alzheimer's

Dementia is a collective term used to indicate a loss of memory functions with the presence of at least one additional loss of a major cognitive ability that hinders a person's previous level of functioning. Studies show that dementia is highly age-associated and that the most common cause of dementia is Alzheimer's disease. Early recognition of Alzheimer's disease, before irreversible damage to the brain has already occurred, is paramount to slowing or preventing the disease. Therefore, algorithms for the prediction

Profiling Biomarker Signatures that Contribute to Conversion from Mild Cognitive Impairment to Alzheimer's Disease

Profiling Biomarker Signatures that Contribute to Conversion from Mild Cognitive Impairment to Alzheimer's Disease
  • Author : Mathotaarachchilage Mathotaarachchi
  • Publisher : Unknown
  • Release Date : 2017
  • ISBN : OCLC:1013747426
GET THIS BOOKProfiling Biomarker Signatures that Contribute to Conversion from Mild Cognitive Impairment to Alzheimer's Disease

"Selecting individuals who will develop dementia within the time frame of a clinical trial constitutes an important challenge for disease modifying trials. Population enrichment is crucial for testing interventions capable to modify the clinical progression from mild cognitive impairment (MCI) to dementia stages of Alzheimer's disease. Here we propose to assess the signatures of progression to dementia in MCI individuals based on PET amyloid imaging and to validate these signatures in an independent dataset. We hypothesize that a network of

Machine Learning in Medical Imaging

Machine Learning in Medical Imaging
  • Author : Guorong Wu,Daoqiang Zhang,Dinggang Shen,Pingkun Yan,Kenji Suzuki,Fei Wang
  • Publisher : Springer
  • Release Date : 2013-09-18
  • ISBN : 9783319022673
GET THIS BOOKMachine Learning in Medical Imaging

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

Alzheimer's Disease Drug Development

Alzheimer's Disease Drug Development
  • Author : Jeffrey Cummings,Jefferson Kinney,Howard Fillit
  • Publisher : Cambridge University Press
  • Release Date : 2022-03-31
  • ISBN : 9781108838665
GET THIS BOOKAlzheimer's Disease Drug Development

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

Interpretability of Machine Intelligence in Medical Image Computing, and Topological Data Analysis and Its Applications for Medical Data
  • Author : Mauricio Reyes,Pedro Henriques Abreu,Jaime Cardoso,Mustafa Hajij,Ghada Zamzmi,Paul Rahul,Lokendra Thakur
  • Publisher : Springer Nature
  • Release Date : 2021-09-21
  • ISBN : 9783030874445
GET THIS BOOKInterpretability of Machine Intelligence in Medical Image Computing, and Topological Data Analysis and Its Applications for Medical Data

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

Artificial Intelligence/Machine Learning in Nuclear Medicine and Hybrid Imaging

Artificial Intelligence/Machine Learning in Nuclear Medicine and Hybrid Imaging
  • Author : Patrick Veit-Haibach,Ken Herrmann
  • Publisher : Springer Nature
  • Release Date : 2022-06-22
  • ISBN : 9783031001192
GET THIS BOOKArtificial Intelligence/Machine Learning in Nuclear Medicine and Hybrid Imaging

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

Predicting Onset, Progression, And Clinical Subtypes Of Alzheimer's And Parkinson's Disease From Genomic And Longitudinal Clinical Data

Predicting Onset, Progression, And Clinical Subtypes Of Alzheimer's And Parkinson's Disease From Genomic And Longitudinal Clinical Data
  • Author : Faraz Faghri
  • Publisher : Unknown
  • Release Date : 2017
  • ISBN : OCLC:1250397024
GET THIS BOOKPredicting Onset, Progression, And Clinical Subtypes Of Alzheimer's And Parkinson's Disease From Genomic And Longitudinal Clinical Data

Background Parkinsonu2019s disease and Alzheimeru2019s Disease and Related Dementia (ADRD) are categories of aging disorders with complex and heterogeneous symptomatology. The clinical manifestations of these neurological disorders are characterized by heterogeneity in age at onset, disease duration, rate of progression, and constellation of cognitive, motor, and non-motor features. Due to these variable presentations, counseling of patients about their individual risks and prognosis is limited. There is an unmet need for predictive tests that facilitate early detection and characterization