AIMC Topic: Alzheimer Disease
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[Retinal Imaging as Potential Biomarkers for Dementia].
Brain and nerve = Shinkei kenkyu no shinpo
Nov 1, 2021
Alzheimer's disease (AD) is a leading cause of dementia, and the current diagnostic methods of AD, such as positron emission tomography imaging, have a high cost and poor accessibility. Amyloidβ accumulates in the brain long before the symptomatic on...
Editorial: Designing a Protocol Adopting an Artificial Intelligence (AI)-Driven Approach for Early Diagnosis of Late-Onset Alzheimer's Disease.
Journal of molecular neuroscience : MN
Jul 1, 2021
Medical History Taking
Memory
Behavior
Mental Status and Dementia Tests
Ethnicity
Early Diagnosis
Mobile Applications
Hong Kong
Cognition
Observational Studies as Topic
Mutation
Late Onset Disorders
Biomarkers
Models, Biological
Clinical Trial Protocols as Topic
Language
Patient Selection
Case-Control Studies
Humans
Asian People
Wearable Electronic Devices
Artificial Intelligence
Alzheimer Disease
Prospective Studies
[A Preliminary Study of Applying Geometric Deep Learning in Brain Morphometry for Diagnosis of Alzheimer's Disease].
Sichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition
Mar 1, 2021
OBJECTIVE: A predictive model of Alzheimer's disease (AD) was established based on brain surface meshes and geometric deep learning, and its performance was evaluated.
Converting disease maps into heavyweight ontologies: general methodology and application to Alzheimer's disease.
Database : the journal of biological databases and curation
Feb 16, 2021
Omics technologies offer great promises for improving our understanding of diseases. The integration and interpretation of such data pose major challenges, calling for adequate knowledge models. Disease maps provide curated knowledge about disorders'...
Prediction of Alzheimer's disease-specific phospholipase c gamma-1 SNV by deep learning-based approach for high-throughput screening.
Proceedings of the National Academy of Sciences of the United States of America
Jan 19, 2021
Exon splicing triggered by unpredicted genetic mutation can cause translational variations in neurodegenerative disorders. In this study, we discover Alzheimer's disease (AD)-specific single-nucleotide variants (SNVs) and abnormal exon splicing of ph...
DS-GCNs: Connectome Classification using Dynamic Spectral Graph Convolution Networks with Assistant Task Training.
Cerebral cortex (New York, N.Y. : 1991)
Jan 5, 2021
Functional connectivity (FC) matrices measure the regional interactions in the brain and have been widely used in neurological brain disease classification. A brain network, also named as connectome, could form a graph structure naturally, the nodes ...
An Optimized Decision Tree with Genetic Algorithm Rule-Based Approach to Reveal the Brain's Changes During Alzheimer's Disease Dementia.
Journal of Alzheimer's disease : JAD
Jan 1, 2021
BACKGROUND: It is desirable to achieve acceptable accuracy for computer aided diagnosis system (CADS) to disclose the dementia-related consequences on the brain. Therefore, assessing and measuring these impacts is fundamental in the diagnosis of deme...
A UK-Wide Study Employing Natural Language Processing to Determine What Matters to People about Brain Health to Improve Drug Development: The Electronic Person-Specific Outcome Measure (ePSOM) Programme.
The journal of prevention of Alzheimer's disease
Jan 1, 2021
BACKGROUND: It is important to use outcome measures for novel interventions in Alzheimer's disease (AD) that capture the research participants' views of effectiveness. The electronic Person-Specific Outcome Measure (ePSOM) development programme is un...
A Role for Prior Knowledge in Statistical Classification of the Transition from Mild Cognitive Impairment to Alzheimer's Disease.
Journal of Alzheimer's disease : JAD
Jan 1, 2021
BACKGROUND: The transition from mild cognitive impairment (MCI) to dementia is of great interest to clinical research on Alzheimer's disease and related dementias. This phenomenon also serves as a valuable data source for quantitative methodological ...
Identification of Blood-Based Glycolysis Gene Associated with Alzheimer's Disease by Integrated Bioinformatics Analysis.
Journal of Alzheimer's disease : JAD
Jan 1, 2021
BACKGROUND: Alzheimer's disease (AD) is one of many common neurodegenerative diseases without ideal treatment, but early detection and intervention can prevent the disease progression.
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