AIMC Topic: Alzheimer Disease

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AD-CovNet: An exploratory analysis using a hybrid deep learning model to handle data imbalance, predict fatality, and risk factors in Alzheimer's patients with COVID-19.

Computers in biology and medicine May 22, 2022
Alzheimer's disease (AD) is the leading cause of dementia globally, with a growing morbidity burden that may exceed diagnosis and management capabilities. The situation worsens when AD patient fatalities are exposed to COVID-19. Because of difference...
Alzheimer Disease Neural Networks, Computer COVID-19 Risk Factors Deep Learning Humans
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Hippocampal representations for deep learning on Alzheimer's disease.

Scientific reports May 21, 2022
Deep learning offers a powerful approach for analyzing hippocampal changes in Alzheimer's disease (AD) without relying on handcrafted features. Nevertheless, an input format needs to be selected to pass the image information to the neural network, wh...
Humans Neuroimaging Alzheimer Disease Deep Learning Hippocampus Magnetic Resonance Imaging
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Early diagnosis of Alzheimer's disease based on deep learning: A systematic review.

Computers in biology and medicine May 17, 2022
BACKGROUND: The improvement of health indicators and life expectancy, especially in developed countries, has led to population growth and increased age-related diseases, including Alzheimer's disease (AD). Thus, the early detection of AD is valuable ...
Deep Learning Cognitive Dysfunction Humans Early Diagnosis Neuroimaging Magnetic Resonance Imaging Alzheimer Disease
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Deep learning-based brain age prediction in normal aging and dementia.

Nature aging May 9, 2022
Brain aging is accompanied by patterns of functional and structural change. Alzheimer's disease (AD), a representative neurodegenerative disease, has been linked to accelerated brain aging. Here, we developed a deep learning-based brain age predictio...
Alzheimer Disease Deep Learning Neurodegenerative Diseases Brain Humans Aging
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Deep-Learning-Assisted Stratification of Amyloid Beta Mutants Using Drying Droplet Patterns.

Advanced materials (Deerfield Beach, Fla.) May 4, 2022
The development of simple and accurate methods to predict mutations in proteins remains an unsolved challenge in modern biochemistry. It is discovered that critical information about primary and secondary peptide structures can be inferred from the s...
Humans Deep Learning Alzheimer Disease Amyloid Amyloid beta-Peptides Protein Structure, Secondary Peptide Fragments
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Brain network connectivity feature extraction using deep learning for Alzheimer's disease classification.

Neuroscience letters May 2, 2022
Early diagnosis and therapeutic intervention for Alzheimer's disease (AD) is currently the only viable option for improving clinical outcomes. Combining structural magnetic resonance imaging (sMRI) and resting-state functional magnetic resonance imag...
Brain Mapping Alzheimer Disease Humans Deep Learning Magnetic Resonance Imaging Brain
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Dietary administration of D-chiro-inositol attenuates sex-specific metabolic imbalances in the 5xFAD mouse model of Alzheimer's disease.

Biomedicine & pharmacotherapy = Biomedecine & pharmacotherapie Apr 26, 2022
Increasing evidence shows that hypothalamic dysfunction, insulin resistance, and weight loss precede and progress along with the cognitive decline in sporadic Alzheimer's Disease (AD) with sex differences. This study aimed to determine the effect of ...
Mice, Transgenic Weight Loss Animals Inositol Disease Models, Animal Insulin Male Humans Mice Female Insulin Resistance Alzheimer Disease
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A Single Model Deep Learning Approach for Alzheimer's Disease Diagnosis.

Neuroscience Apr 7, 2022
Early and accurate diagnosis of Alzheimer's disease (AD) and its prodromal period mild cognitive impairment (MCI) is essential for the delayed disease progression and the improved quality of patients' life. The emerging computer-aided diagnostic meth...
Magnetic Resonance Imaging Alzheimer Disease Deep Learning Neuroimaging Cognitive Dysfunction Humans
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The impact of transfer learning on 3D deep learning convolutional neural network segmentation of the hippocampus in mild cognitive impairment and Alzheimer disease subjects.

Human brain mapping Apr 4, 2022
Research on segmentation of the hippocampus in magnetic resonance images through deep learning convolutional neural networks (CNNs) shows promising results, suggesting that these methods can identify small structural abnormalities of the hippocampus,...
Humans Neural Networks, Computer Alzheimer Disease Hippocampus Image Processing, Computer-Assisted Deep Learning Magnetic Resonance Imaging Cognitive Dysfunction
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A deep learning MRI approach outperforms other biomarkers of prodromal Alzheimer's disease.

Alzheimer's research & therapy Mar 29, 2022
BACKGROUND: The three core pathologies of Alzheimer's disease (AD) are amyloid pathology, tau pathology, and neurodegeneration. Biomarkers exist for each. Neurodegeneration is often detected by neuroimaging, and we hypothesized that a voxel-based dee...
Neuroimaging Deep Learning Magnetic Resonance Imaging Alzheimer Disease Humans Biomarkers
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