AIMC Topic: Alzheimer Disease

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Modeling longitudinal imaging biomarkers with parametric Bayesian multi-task learning.

Human brain mapping Jun 5, 2019
Longitudinal imaging biomarkers are invaluable for understanding the course of neurodegeneration, promising the ability to track disease progression and to detect disease earlier than cross-sectional biomarkers. To properly realize their potential, b...
Humans Machine Learning Biomarkers Computer Simulation Alzheimer Disease Datasets as Topic Neuroimaging Cerebral Cortex Models, Theoretical Longitudinal Studies Magnetic Resonance Imaging Bayes Theorem
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A hybrid Convolutional and Recurrent Neural Network for Hippocampus Analysis in Alzheimer's Disease.

Journal of neuroscience methods May 25, 2019
BACKGROUND: Hippocampus is one of the first structures affected by neurodegenerative diseases such as Alzheimer's disease (AD) and mild cognitive impairment (MCI). Hippocampal atrophy can be evaluated in terms of hippocampal volumes and shapes using ...
Alzheimer Disease Hippocampus Neuroimaging Male Cognitive Dysfunction Image Processing, Computer-Assisted Humans Magnetic Resonance Imaging Neural Networks, Computer Female Aged Aged, 80 and over
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Voxel-Based Morphometry: Improving the Diagnosis of Alzheimer's Disease Based on an Extreme Learning Machine Method from the ADNI cohort.

Neuroscience May 16, 2019
Computer-aided diagnosis has become a widely-used auxiliary tool for the diagnosis of Alzheimer's disease (AD). In this study, we developed an extreme learning machine (ELM) model to discriminate between patients with AD and normal controls (NCs) usi...
Magnetic Resonance Imaging Alzheimer Disease Image Interpretation, Computer-Assisted Neuroimaging Aged, 80 and over Male Support Vector Machine Humans Machine Learning Brain Female Aged
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Design of Natural-Product-Inspired Multitarget Ligands by Machine Learning.

ChemMedChem May 16, 2019
A virtual screening protocol based on machine learning models was used to identify mimetics of the natural product (-)-galantamine. This fully automated approach identified eight compounds with bioactivities on at least one of the macromolecular targ...
Acetylcholinesterase Cholinesterase Inhibitors Galantamine Stereoisomerism Drug Design Cell Line, Tumor Neuroprotective Agents Humans Biological Products Molecular Structure Machine Learning Drug Evaluation, Preclinical Molecular Docking Simulation Alzheimer Disease Ligands
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Interpretable classification of Alzheimer's disease pathologies with a convolutional neural network pipeline.

Nature communications May 15, 2019
Neuropathologists assess vast brain areas to identify diverse and subtly-differentiated morphologies. Standard semi-quantitative scoring approaches, however, are coarse-grained and lack precise neuroanatomic localization. We report a proof-of-concept...
Aged, 80 and over Male Deep Learning Cohort Studies Humans Brain Female Aged Datasets as Topic ROC Curve Image Processing, Computer-Assisted Alzheimer Disease
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Prediction of Alzheimer's disease dementia with MRI beyond the short-term: Implications for the design of predictive models.

NeuroImage. Clinical Apr 30, 2019
Magnetic resonance imaging (MRI) volumetric measures have become a standard tool for the detection of incipient Alzheimer's Disease (AD) dementia in mild cognitive impairment (MCI). Focused on providing an earlier and more accurate diagnosis, sophist...
Middle Aged Dementia Cohort Studies Follow-Up Studies Aged Aged, 80 and over Male Humans Machine Learning Female Magnetic Resonance Imaging Predictive Value of Tests Alzheimer Disease
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Machine Learning for Medical Imaging.

Journal of healthcare engineering Apr 28, 2019
Alzheimer Disease Humans Liver Neoplasms Software Neural Networks, Computer Algorithms Machine Learning Support Vector Machine Reproducibility of Results Principal Component Analysis Deep Learning Diagnostic Imaging
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Systems Pharmacological Approach to Investigate the Mechanism of for Application to Alzheimer's Disease.

Molecules (Basel, Switzerland) Apr 17, 2019
(OC)-a traditional Chinese medicine (TCM)-has been reported to have large numbers of flavonoids, alkaloids, and triterpenoids. The previous studies on OC for treating Alzheimer's disease (AD) only focused on single targets and its mechanisms, while ...
Humans Gene Regulatory Networks Signal Transduction Drugs, Chinese Herbal Fabaceae Alzheimer Disease Biological Availability Gene Expression Regulation Gene Ontology
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Deep learning only by normal brain PET identify unheralded brain anomalies.

EBioMedicine Apr 16, 2019
BACKGROUND: Recent deep learning models have shown remarkable accuracy for the diagnostic classification. However, they have limitations in clinical application due to the gap between the training cohorts and real-world data. We aimed to develop a mo...
Positron-Emission Tomography Fluorodeoxyglucose F18 Brain Diseases Brain Neuroimaging Deep Learning Image Processing, Computer-Assisted Cognitive Dysfunction Area Under Curve ROC Curve Alzheimer Disease Humans
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Application of Artificial Neural Networks to Identify Alzheimer's Disease Using Cerebral Perfusion SPECT Data.

International journal of environmental research and public health Apr 11, 2019
The aim of this study was to demonstrate the usefulness of artificial neural networks in Alzheimer disease diagnosis (AD) using data of brain single photon emission computed tomography (SPECT). The results were compared with discriminant analysis. Th...
Middle Aged Case-Control Studies ROC Curve Discriminant Analysis Alzheimer Disease Aged Humans Tomography, Emission-Computed, Single-Photon Aged, 80 and over Neural Networks, Computer Sensitivity and Specificity Female Male
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