Clinical utility of cerebrospinal fluid biomarkers in the diagnosis of early Alzheimer's disease
Several potential disease-modifying drugs for Alzheimer's disease (AD) have failed to show
any effect on disease progression in clinical trials, conceivably because the AD subjects are …
any effect on disease progression in clinical trials, conceivably because the AD subjects are …
Estrogen: a master regulator of bioenergetic systems in the brain and body
JR Rettberg, J Yao, RD Brinton - Frontiers in neuroendocrinology, 2014 - Elsevier
Estrogen is a fundamental regulator of the metabolic system of the female brain and body.
Within the brain, estrogen regulates glucose transport, aerobic glycolysis, and mitochondrial …
Within the brain, estrogen regulates glucose transport, aerobic glycolysis, and mitochondrial …
Brain MRI analysis for Alzheimer's disease diagnosis using an ensemble system of deep convolutional neural networks
Alzheimer's disease is an incurable, progressive neurological brain disorder. Earlier
detection of Alzheimer's disease can help with proper treatment and prevent brain tissue …
detection of Alzheimer's disease can help with proper treatment and prevent brain tissue …
Hierarchical feature representation and multimodal fusion with deep learning for AD/MCI diagnosis
For the last decade, it has been shown that neuroimaging can be a potential tool for the
diagnosis of Alzheimer's Disease (AD) and its prodromal stage, Mild Cognitive Impairment …
diagnosis of Alzheimer's Disease (AD) and its prodromal stage, Mild Cognitive Impairment …
Alzheimer's disease multiclass diagnosis via multimodal neuroimaging embedding feature selection and fusion
Alzheimer's disease (AD) will become a global burden in the coming decades according to
the latest statistical survey. How to effectively detect AD or MCI (mild cognitive impairment) …
the latest statistical survey. How to effectively detect AD or MCI (mild cognitive impairment) …
Multimodal classification of Alzheimer's disease and mild cognitive impairment
Effective and accurate diagnosis of Alzheimer's disease (AD), as well as its prodromal stage
(ie, mild cognitive impairment (MCI)), has attracted more and more attention recently. So far …
(ie, mild cognitive impairment (MCI)), has attracted more and more attention recently. So far …
Multi-modal multi-task learning for joint prediction of multiple regression and classification variables in Alzheimer's disease
Many machine learning and pattern classification methods have been applied to the
diagnosis of Alzheimer's disease (AD) and its prodromal stage, ie, mild cognitive impairment …
diagnosis of Alzheimer's disease (AD) and its prodromal stage, ie, mild cognitive impairment …
BrainAGE in Mild Cognitive Impaired Patients: Predicting the Conversion to Alzheimer's Disease
Alzheimer's disease (AD), the most common form of dementia, shares many aspects of
abnormal brain aging. We present a novel magnetic resonance imaging (MRI)-based …
abnormal brain aging. We present a novel magnetic resonance imaging (MRI)-based …
Artificial intelligence for Alzheimer's disease: promise or challenge?
Decades of experimental and clinical research have contributed to unraveling many
mechanisms in the pathogenesis of Alzheimer's disease (AD), but the puzzle is still …
mechanisms in the pathogenesis of Alzheimer's disease (AD), but the puzzle is still …
Multi-modal neuroimaging feature selection with consistent metric constraint for diagnosis of Alzheimer's disease
The accurate diagnosis of Alzheimer's disease (AD) and its early stage, eg, mild cognitive
impairment (MCI), is essential for timely treatment or possible intervention to slow down AD …
impairment (MCI), is essential for timely treatment or possible intervention to slow down AD …