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Predicting ALzheimer's Disease with AI and Brain Imaging Data
According to the latest estimates, one in three elderly people will suffer from dementia in 2050, with the majority of cases being Alzheimer's...
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Automated classification of Alzheimer's disease based on deep belief neural networks
When it comes to the causes of dementia, Alzheimer's disease is the most mysterious. There is no central genetic component connected to Alzheimer's...
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Comprehensive overview of Alzheimer's disease utilizing Machine Learning approaches
Alzheimer's disease is a common and complex brain disorder that primarily affects the elderly. Because it is progressing and has few effective...
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Targeted Nano-based Drug Delivery in Alzheimer's Disease and Dementia
Alzheimer's disease (AD), the utmost widespread neurodegenerative illness, contributes to an enormous and expanding healthcare burden and impairs...
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Enhanced Alzheimer's disease detection from MRI images using CycleGAN Augmentor, NeuroXt and XenonNet
Alzheimer's disease (AD), a severe type of brain disease, can harm memory function and destroy brain tissue. Different deep learning-based systems...
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Hotspots and trends of microglia in Alzheimer's disease: a bibliometric analysis during 2000–2022
BackgroundAlzheimer's disease is one common type of dementia. Numerous studies have suggested a correlation between Alzheimer's disease and...
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Nutraceuticals for Alzheimer's Disease: A Promising Therapeutic Approach
This book reviews the potential effect of diet modification, lipids, and carbohydrate consumptions, vitamin supplementation, antioxidants, and...
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Detection of Alzheimer's Disease Using a Convolutional Neural Network
This paper proposes a relatively simple neural network for detecting Alzheimer's disease and its stages by analyzing cerebral magnetic resonance...
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Immunological characterization and diagnostic models of RNA N6-methyladenosine regulators in Alzheimer's disease
Alzheimer's disease (AD) is the most prevalent form of dementia, and it displays both clinical and molecular variability. RNA N6-methyladenosine...
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A Novel Approach Utilizing Machine Learning for the Early Diagnosis of Alzheimer's Disease
Alzheimer's disease (AD) is one of the leading causes of dementia among older people. In addition, a considerable portion of the world's population...
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Presenting a novel approach based on deep learning neural network and using brain images to diagnose Alzheimer's disease
A major symptom of Alzheimer's disease is memory impairment, which is the most prevalent form of dementia. The risk of Alzheimer's disease is...
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Technical Review of Clinical Outcomes Assessments Across the Continuum of Alzheimer's Disease
IntroductionInsight into the relationship between concepts that matter to the people affected by Alzheimer’s disease (AD) and the clinical outcome...
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Ensemble activation enabled deep classifier for Alzheimer's disease detection in the blockchain-enabled distributed edge environment
Alzheimer's disease (AD) is the most well-known cause of dementia that affects memory. Alzheimer's patients have a neurodegenerative disorder that...
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Audio Analysis for Early Diagnosis of Alzheimer's Disease: A Study on Fisher's Linear Discriminant and Mel-Frequency Cepstral Coefficients
Millions of people throughout the world are afflicted by the widespread neurodegenerative ailment known as Alzheimer's disease. Effective treatment...
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The network pharmacology study and molecular docking to investigate the potential mechanism of Acoritataninowii Rhizoma against Alzheimer's Disease
Alzheimer's Disease is considered as an insidious neurodegenerative progressive disease but its pathogenesis has not been elucidated....
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Natural Product-based Synthetic Drug Molecules in Alzheimer's Disease Therapeutic & Theranostic Agents
This book illustrates the importance of natural products as the source for the development of novel drugs for the treatment of neurodegenerative...
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Diagnostic implications of ubiquitination-related gene signatures in Alzheimer's disease
The purpose of this study was to explore the diagnostic implications of ubiquitination-related gene signatures in Alzheimer's disease. In this study,...
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Novel Alzheimer's disease subtypes based on functional brain connectivity in human connectome project
The pathogenesis of Alzheimer's disease (AD) remains unclear, but revealing individual differences in functional connectivity (FC) may provide...
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Early prediction of Alzheimer's disease using convolutional neural network: a review
In this paper, a comprehensive review on Alzheimer's disease (AD) is carried out, and an exploration of the two machine learning (ML) methods that...
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Morphometric analysis of medial temporal lobe subregions in Alzheimer's disease using high-resolution MRI
The spread pattern of progressive degeneration seen in Alzheimer's disease (AD) to small-scale medial temporal lobe subregions is critical for early...
