AIMC Topic: Alzheimer Disease

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Alzheimer's Together with Mild Cognitive Impairment Screening Using Polar Transformation of Middle Zone of Fundus Images Based Deep Learning.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2023
Alzheimer's disease (AD) and Mild Cognitive Impairment (MCI) are considered an increasing major health problem in elderlies. However, current clinical methods of Alzheimer's detection are expensive and difficult to access, making the detection inconv...
Alzheimer Disease Deep Learning Cognitive Dysfunction Humans Magnetic Resonance Imaging Retina
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Feature extraction of time series data on functional near-infrared spectroscopy and comparison of deep learning performance for classifying patients with Alzheimer's-related mild cognitive impairment: a post-hoc analysis of a diagnostic interventional trial.

European review for medical and pharmacological sciences Jul 1, 2023
OBJECTIVE: This study aimed to define a method of classifying patients with mild cognitive impairment caused by Alzheimer's disease by the retrieval of functional near-infrared spectroscopy (fNIRS) signal characteristics obtained during olfactory sti...
Sensitivity and Specificity Spectroscopy, Near-Infrared Humans Time Factors Alzheimer Disease Neuropsychological Tests Deep Learning Cognitive Dysfunction
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PPAD: a deep learning architecture to predict progression of Alzheimer's disease.

Bioinformatics (Oxford, England) Jun 30, 2023
MOTIVATION: Alzheimer's disease (AD) is a neurodegenerative disease that affects millions of people worldwide. Mild cognitive impairment (MCI) is an intermediary stage between cognitively normal state and AD. Not all people who have MCI convert to AD...
Electronic Health Records Deep Learning Humans Cognitive Dysfunction Neurodegenerative Diseases Alzheimer Disease
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AD-Syn-Net: systematic identification of Alzheimer's disease-associated mutation and co-mutation vulnerabilities via deep learning.

Briefings in bioinformatics Mar 19, 2023
Alzheimer's disease (AD) is one of the most challenging neurodegenerative diseases because of its complicated and progressive mechanisms, and multiple risk factors. Increasing research evidence demonstrates that genetics may be a key factor responsib...
Magnetic Resonance Imaging Mutation Deep Learning Cognitive Dysfunction Alzheimer Disease Humans
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Voxel-based morphometry and a deep learning model for the diagnosis of early Alzheimer's disease based on cerebral gray matter changes.

Cerebral cortex (New York, N.Y. : 1991) Jan 5, 2023
This study aimed to analyse cerebral grey matter changes in mild cognitive impairment (MCI) using voxel-based morphometry and to diagnose early Alzheimer's disease using deep learning methods based on convolutional neural networks (CNNs) evaluating t...
Alzheimer Disease Gray Matter Atrophy Cognitive Dysfunction Magnetic Resonance Imaging Humans Deep Learning
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Interpretable deep learning translation of GWAS and multi-omics findings to identify pathobiology and drug repurposing in Alzheimer's disease.

Cell reports Nov 29, 2022
Translating human genetic findings (genome-wide association studies [GWAS]) to pathobiology and therapeutic discovery remains a major challenge for Alzheimer's disease (AD). We present a network topology-based deep learning framework to identify dise...
Deep Learning Gemfibrozil Drug Repositioning Genome-Wide Association Study Alzheimer Disease Humans Retrospective Studies
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Multimodal attention-based deep learning for Alzheimer's disease diagnosis.

Journal of the American Medical Informatics Association : JAMIA Nov 14, 2022
OBJECTIVE: Alzheimer's disease (AD) is the most common neurodegenerative disorder with one of the most complex pathogeneses, making effective and clinically actionable decision support difficult. The objective of this study was to develop a novel mul...
Machine Learning Deep Learning Magnetic Resonance Imaging Humans Alzheimer Disease Cognitive Dysfunction
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Probing the link between the APOE-ε4 allele and whole-brain gray matter using deep learning.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2022
The APOE-ε4 allele is a known genetic risk for Alzheimer's disease (AD). Thus, it can be reasoned that the APOE-ε4 allele would also impact neurodegeneration-associated structural brain changes. Here we probe if the APOE-ε4 genotype directly modulate...
Alleles Gray Matter Brain Alzheimer Disease Apolipoprotein E4 Humans Deep Learning
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A novel deep learning approach using AlexNet for the classification of electroencephalograms in Alzheimer's Disease and Mild Cognitive Impairment.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2022
Alzheimer's Disease (AD) is the most common form of dementia. Mild Cognitive Impairment (MCI) is the term given to the stage describing prodromal AD and represents a 'risk factor' in early-stage AD diagnosis from normal cognitive decline due to agein...
Humans Aging Electroencephalography Alzheimer Disease Deep Learning Cognitive Dysfunction
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Deep learning-based identification of genetic variants: application to Alzheimer's disease classification.

Briefings in bioinformatics Mar 10, 2022
Deep learning is a promising tool that uses nonlinear transformations to extract features from high-dimensional data. Deep learning is challenging in genome-wide association studies (GWAS) with high-dimensional genomic data. Here we propose a novel t...
Genome-Wide Association Study Deep Learning Magnetic Resonance Imaging Alzheimer Disease Cognitive Dysfunction Humans Aged
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