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Geriatrics Subcategories: Alzheimer's Disease Medicare

Showing 2353-2373 of 11,315 articles

Early Diagnosis of Alzheimer's Diseases and Dementia from MRI Images Using an Ensemble Deep Learning

Alzheimer's Disease (AD) is a progressive neurological disorder that can result in significant cog...

Dec 2024 http://arxiv.org/abs/2412.05666v1

Self-Supervised Masked Mesh Learning for Unsupervised Anomaly Detection on 3D Cortical Surfaces

Unsupervised anomaly detection in brain imaging is challenging. In this paper, we propose self-sup...

Dec 2024 http://arxiv.org/abs/2412.05580v3

A multimodal vision transformer for interpretable fusion of functional and structural neuroimaging data.

Multimodal neuroimaging is an emerging field that leverages multiple sources of information to diagn...

Dec 2024 39600159

Graph-Based Biomarker Discovery and Interpretation for Alzheimer's Disease

Early diagnosis and discovery of therapeutic drug targets are crucial objectives for the effective...

Nov 2024 http://arxiv.org/abs/2411.18796v1

The Trusted Caregiver: The Influence of Eye and Mouth Design Incorporating the Baby Schema Effect in Virtual Humanoid Agents on Older Adults Users' Perception of Trustworthiness

The increasing proportion of the older adult population has made the smart home care industry one ...

Nov 2024 http://arxiv.org/abs/2411.18047v1

Genome-wide association neural networks identify genes linked to family history of Alzheimer's disease.

Augmenting traditional genome-wide association studies (GWAS) with advanced machine learning algorit...

Nov 2024 39775791

Explainable deep neural networks for predicting sample phenotypes from single-cell transcriptomics.

Recent advances in single-cell RNA-Sequencing (scRNA-Seq) technologies have revolutionized our abili...

Nov 2024 39814561

Introducing TEC-LncMir for prediction of lncRNA-miRNA interactions through deep learning of RNA sequences.

The interactions between long noncoding RNA (lncRNA) and microRNA (miRNA) play critical roles in lif...

Nov 2024 39927859

Efficient Brain Imaging Analysis for Alzheimer's and Dementia Detection Using Convolution-Derivative Operations

Alzheimer's disease (AD) is characterized by progressive neurodegeneration and results in detrimen...

Nov 2024 http://arxiv.org/abs/2411.13490v2

Simulation of Nanorobots with Artificial Intelligence and Reinforcement Learning for Advanced Cancer Cell Detection and Tracking

Nanorobots are a promising development in targeted drug delivery and the treatment of neurological...

Nov 2024 http://arxiv.org/abs/2411.02345v1

Deep learning assisted quantitative analysis of Aβ and microglia in patients with idiopathic normal pressure hydrocephalus in relation to cognitive outcome.

Neuropathologic changes of Alzheimer disease (AD) including Aβ accumulation and neuroinflammation ar...

Nov 2024 39101555

Geriatrics

Browse Categories

Early Diagnosis of Alzheimer's Diseases and Dementia from MRI Images Using an Ensemble Deep Learning

Self-Supervised Masked Mesh Learning for Unsupervised Anomaly Detection on 3D Cortical Surfaces

A multimodal vision transformer for interpretable fusion of functional and structural neuroimaging data.

Graph-Based Biomarker Discovery and Interpretation for Alzheimer's Disease

The Trusted Caregiver: The Influence of Eye and Mouth Design Incorporating the Baby Schema Effect in Virtual Humanoid Agents on Older Adults Users' Perception of Trustworthiness

Genome-wide association neural networks identify genes linked to family history of Alzheimer's disease.

Explainable deep neural networks for predicting sample phenotypes from single-cell transcriptomics.

Introducing TEC-LncMir for prediction of lncRNA-miRNA interactions through deep learning of RNA sequences.

Efficient Brain Imaging Analysis for Alzheimer's and Dementia Detection Using Convolution-Derivative Operations

Simulation of Nanorobots with Artificial Intelligence and Reinforcement Learning for Advanced Cancer Cell Detection and Tracking

Deep learning assisted quantitative analysis of Aβ and microglia in patients with idiopathic normal pressure hydrocephalus in relation to cognitive outcome.

Comparing machine learning and deep learning models to predict cognition progression in Parkinson's disease.

Generative forecasting of brain activity enhances Alzheimer's classification and interpretation

Longitudinal Causal Image Synthesis

Exploiting Longitudinal Speech Sessions via Voice Assistant Systems for Early Detection of Cognitive Decline

Copula-Linked Parallel ICA: A Method for Coupling Structural and Functional MRI brain Networks

SGUQ: Staged Graph Convolution Neural Network for Alzheimer's Disease Diagnosis using Multi-Omics Data

Modeling Alzheimer's Disease: From Memory Loss to Plaque & Tangles Formation

Brain-Aware Readout Layers in GNNs: Advancing Alzheimer's early Detection and Neuroimaging

GENEVIC: GENetic data Exploration and Visualization via Intelligent interactive Console.

Cerebral microbleeds: Association with cognitive decline and pathology build-up

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