AIMC Topic: Alzheimer Disease

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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...
Magnetic Resonance Imaging Alzheimer Disease Neuroimaging Biomarkers Deep Learning Humans
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Deep learning for the dynamic prediction of multivariate longitudinal and survival data.

Statistics in medicine Mar 28, 2022
The joint model for longitudinal and survival data improves time-to-event predictions by including longitudinal outcome variables in addition to baseline covariates. However, in practice, joint models may be limited by parametric assumptions in both ...
Prognosis Humans Deep Learning Neural Networks, Computer Alzheimer Disease Machine Learning
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Improving Alzheimer's Disease Detection for Speech Based on Feature Purification Network.

Frontiers in public health Mar 3, 2022
Alzheimer's disease (AD) is a neurodegenerative disease involving the decline of cognitive ability with illness progresses. At present, the diagnosis of AD mainly depends on the interviews between patients and doctors, which is slow, expensive, and s...
Alzheimer Disease Speech Humans Language Cognitive Dysfunction Neurodegenerative Diseases
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Machine learning detects altered spatial navigation features in outdoor behaviour of Alzheimer's disease patients.

Scientific reports Feb 24, 2022
Impairment of navigation is one of the earliest symptoms of Alzheimer's disease (AD), but to date studies have involved proxy tests of navigation rather than studies of real life behaviour. Here we use GPS tracking to measure ecological outdoor behav...
Spatial Navigation Spatial Behavior Aged, 80 and over Male Middle Aged Spatio-Temporal Analysis Alzheimer Disease Machine Learning Neuropsychological Tests Humans Female Aged
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Predictive classification of Alzheimer's disease using brain imaging and genetic data.

Scientific reports Feb 14, 2022
For now, Alzheimer's disease (AD) is incurable. But if it can be diagnosed early, the correct treatment can be used to delay the disease. Most of the existing research methods use single or multi-modal imaging features for prediction, relatively few ...
Neuroimaging Magnetic Resonance Imaging Alzheimer Disease Female Aged Aged, 80 and over Male Middle Aged Polymorphism, Single Nucleotide Humans Machine Learning Brain
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Blockchain-Based Deep Learning to Process IoT Data Acquisition in Cognitive Data.

BioMed research international Feb 11, 2022
Remote health monitoring can help prevent disease at the earlier stages. The Internet of Things (IoT) concepts have recently advanced, enabling omnipresent monitoring. Easily accessible biomarkers for neurodegenerative disorders, namely, Alzheimer's ...
Blockchain Alzheimer Disease Internet of Things Humans Deep Learning Big Data
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Evaluation of Neuro Images for the Diagnosis of Alzheimer's Disease Using Deep Learning Neural Network.

Frontiers in public health Feb 7, 2022
Alzheimer's Disease (AD) is a progressive, neurodegenerative brain disease and is an incurable ailment. No drug exists for AD, but its progression can be delayed if the disorder is identified at its initial stage. Therefore, an early analysis of AD i...
Humans Neural Networks, Computer Deep Learning Magnetic Resonance Imaging Alzheimer Disease Neuroimaging
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Inferring protein expression changes from mRNA in Alzheimer's dementia using deep neural networks.

Nature communications Feb 3, 2022
Identifying the molecular systems and proteins that modify the progression of Alzheimer's disease and related dementias (ADRD) is central to drug target selection. However, discordance between mRNA and protein abundance, and the scarcity of proteomic...
Humans Neural Networks, Computer Aged, 80 and over Male Transcriptome Brain Female Aged Proteomics Proteome Mass Spectrometry Alzheimer Disease Protein Biosynthesis Dementia RNA-Seq RNA, Messenger Deep Learning Cognitive Dysfunction
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Machine Learning-Assisted Pattern Recognition of Amyloid Beta Aggregates with Fluorescent Conjugated Polymers and Graphite Oxide Electrostatic Complexes.

Analytical chemistry Jan 27, 2022
Five fluorescent positively charged poly(-aryleneethynylene) (-) were designed to construct electrostatic complexes - with negatively charged graphene oxide (). The fluorescence of conjugated polymers was quenched by the quencher . Three electrostati...
Oxides Amyloid beta-Peptides Polymers Alzheimer Disease Graphite Chemistry, Clinical Static Electricity Humans Machine Learning
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DOTA: Deep Learning Optimal Transport Approach to Advance Drug Repositioning for Alzheimer's Disease.

Biomolecules Jan 24, 2022
Alzheimer's disease (AD) is the leading cause of age-related dementia, affecting over 5 million people in the United States and incurring a substantial global healthcare cost. Unfortunately, current treatments are only palliative and do not cure AD. ...
Alzheimer Disease Heterocyclic Compounds, 1-Ring Humans Brain Deep Learning United States Drug Repositioning
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