AIMC Topic: Alzheimer Disease

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Recent Advances in Imaging of Preclinical, Sporadic, and Autosomal Dominant Alzheimer's Disease.

Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics Mar 29, 2021
Observing Alzheimer's disease (AD) pathological changes in vivo with neuroimaging provides invaluable opportunities to understand and predict the course of disease. Neuroimaging AD biomarkers also allow for real-time tracking of disease-modifying tre...
Biomarkers Longitudinal Studies Magnetic Resonance Imaging Amyloid beta-Peptides Humans Machine Learning tau Proteins Alzheimer Disease Positron-Emission Tomography Neuroimaging
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Prediction of tau accumulation in prodromal Alzheimer's disease using an ensemble machine learning approach.

Scientific reports Mar 11, 2021
We developed machine learning (ML) algorithms to predict abnormal tau accumulation among patients with prodromal AD. We recruited 64 patients with prodromal AD using the Alzheimer's Disease Neuroimaging Initiative (ADNI) dataset. Supervised ML approa...
Cognitive Dysfunction ROC Curve Alzheimer Disease tau Proteins Female Aged Algorithms Male Biomarkers Humans Machine Learning Prodromal Symptoms
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Deep learning based neuronal soma detection and counting for Alzheimer's disease analysis.

Computer methods and programs in biomedicine Mar 10, 2021
BACKGROUND AND OBJECTIVE: Alzheimer's Disease (AD) is associated with neuronal damage and decrease. Micro-Optical Sectioning Tomography (MOST) provides an approach to acquire high-resolution images for neuron analysis in the whole-brain. Application ...
Neural Networks, Computer Brain Animals Alzheimer Disease Deep Learning Mice Neurons
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Machine Learning and Novel Biomarkers for the Diagnosis of Alzheimer's Disease.

International journal of molecular sciences Mar 9, 2021
BACKGROUND: Alzheimer's disease (AD) is a complex and severe neurodegenerative disease that still lacks effective methods of diagnosis. The current diagnostic methods of AD rely on cognitive tests, imaging techniques and cerebrospinal fluid (CSF) lev...
Alzheimer Disease Machine Learning Biomarkers Female Diagnosis, Computer-Assisted Chromatography, High Pressure Liquid Aged Middle Aged Humans
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StoCast: Stochastic Disease Forecasting With Progression Uncertainty.

IEEE journal of biomedical and health informatics Mar 5, 2021
Forecasting patients' disease progressions with rich longitudinal clinical data has drawn much attention in recent years due to its impactful application in healthcare and the medical field. Researchers have tackled this problem by leveraging traditi...
Machine Learning Humans Alzheimer Disease Forecasting Uncertainty Neural Networks, Computer
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Alzheimer's disease detection using depthwise separable convolutional neural networks.

Computer methods and programs in biomedicine Mar 2, 2021
To diagnose Alzheimer's disease (AD), neuroimaging methods such as magnetic resonance imaging have been employed. Recent progress in computer vision with deep learning (DL) has further inspired research focused on machine learning algorithms. However...
Deep Learning Alzheimer Disease Neuroimaging Humans Neural Networks, Computer Algorithms
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Plasma d-glutamate levels for detecting mild cognitive impairment and Alzheimer's disease: Machine learning approaches.

Journal of psychopharmacology (Oxford, England) Feb 15, 2021
BACKGROUND: d-glutamate, which is involved in N-methyl-d-aspartate receptor modulation, may be associated with cognitive ageing.
Alzheimer Disease Aged, 80 and over Glutamic Acid Sensitivity and Specificity Cognitive Dysfunction Male Diagnosis, Differential Algorithms Chromatography, High Pressure Liquid Case-Control Studies Biomarkers Middle Aged Psychiatric Status Rating Scales Female Severity of Illness Index Aged Humans Machine Learning
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Machine learning identifies candidates for drug repurposing in Alzheimer's disease.

Nature communications Feb 15, 2021
Clinical trials of novel therapeutics for Alzheimer's Disease (AD) have consumed a large amount of time and resources with largely negative results. Repurposing drugs already approved by the Food and Drug Administration (FDA) for another indication i...
Nootropic Agents Pharmacogenetics Drugs, Investigational Neuroprotective Agents Polypharmacology Nerve Tissue Proteins Drug Repositioning Machine Learning Humans Severity of Illness Index Gene Expression Regulation Gene Expression Profiling Neurons Primary Cell Culture Cerebral Cortex Alzheimer Disease Prescription Drugs High-Throughput Screening Assays
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A 3D densely connected convolution neural network with connection-wise attention mechanism for Alzheimer's disease classification.

Magnetic resonance imaging Feb 13, 2021
PURPOSE: Alzheimer's disease (AD) is a progressive and irreversible neurodegenerative disease. In recent years, machine learning methods have been widely used on analysis of neuroimage for quantitative evaluation and computer-aided diagnosis of AD or...
Female Aged Male Magnetic Resonance Imaging Alzheimer Disease Deep Learning Imaging, Three-Dimensional Humans Algorithms Databases, Factual Early Diagnosis
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A Low-Cost Three-Dimensional DenseNet Neural Network for Alzheimer's Disease Early Discovery.

Sensors (Basel, Switzerland) Feb 11, 2021
Alzheimer's disease is the most prevalent dementia among the elderly population. Early detection is critical because it can help with future planning for those potentially affected. This paper uses a three-dimensional DenseNet architecture to detect ...
Male Middle Aged ROC Curve Early Diagnosis Reproducibility of Results Magnetic Resonance Imaging Humans Aged Alzheimer Disease Neural Networks, Computer Aged, 80 and over Female
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