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Subcategories: Alzheimer's Disease Medicare

Showing 4789-4809 of 8,142 articles

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

Mild Cognitive Impairment (MCI) is an early stage of Alzheimer's disease (AD), a form of neurodege...

Oct 2024 http://arxiv.org/abs/2410.12885v1

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

Different brain imaging modalities offer unique insights into brain function and structure. Combin...

Oct 2024 http://arxiv.org/abs/2410.19774v2

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

Alzheimer's disease (AD) is a chronic neurodegenerative disorder and the leading cause of dementia...

Oct 2024 http://arxiv.org/abs/2410.11046v1

DISCO: A Hierarchical Disentangled Cognitive Diagnosis Framework for Interpretable Job Recommendation

The rapid development of online recruitment platforms has created unprecedented opportunities for ...

Oct 2024 http://arxiv.org/abs/2410.07671v2

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

We employ the Hopfield model as a simplified framework to explore both the memory deficits and the...

Oct 2024 http://arxiv.org/abs/2410.07503v1

Leveraging Event Streams with Deep Reinforcement Learning for End-to-End UAV Tracking

In this paper, we present our proposed approach for active tracking to increase the autonomy of Un...

Oct 2024 http://arxiv.org/abs/2410.14685v1

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

Alzheimer's disease (AD) is a neurodegenerative disorder characterized by progressive memory and c...

Oct 2024 http://arxiv.org/abs/2410.14683v1

From Imitation to Exploration: End-to-end Autonomous Driving based on World Model

In recent years, end-to-end autonomous driving architectures have gained increasing attention due ...

Oct 2024 http://arxiv.org/abs/2410.02253v2

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

Cerebral microbleeds, markers of brain damage from vascular and amyloid pathologies, are linked to...

Sep 2024 http://arxiv.org/abs/2410.12809v1

Explicitly Modeling Pre-Cortical Vision with a Neuro-Inspired Front-End Improves CNN Robustness

While convolutional neural networks (CNNs) excel at clean image classification, they struggle to c...

Sep 2024 http://arxiv.org/abs/2409.16838v2

Development and validation of an explainable machine learning model for predicting multidimensional frailty in hospitalized patients with cirrhosis.

We sought to develop and validate a machine learning (ML) model for predicting multidimensional frai...

Sep 2024 39358034

ReMEmbR: Building and Reasoning Over Long-Horizon Spatio-Temporal Memory for Robot Navigation

Navigating and understanding complex environments over extended periods of time is a significant c...

Sep 2024 http://arxiv.org/abs/2409.13682v1

Towards the Discovery of Down Syndrome Brain Biomarkers Using Generative Models

Brain imaging has allowed neuroscientists to analyze brain morphology in genetic and neurodevelopm...

Sep 2024 http://arxiv.org/abs/2409.13437v1

Automated detection of underdiagnosed medical conditions via opportunistic imaging

Abdominal computed tomography (CT) scans are frequently performed in clinical settings. Opportunis...

Sep 2024 http://arxiv.org/abs/2409.11686v3

Point2Graph: An End-to-end Point Cloud-based 3D Open-Vocabulary Scene Graph for Robot Navigation

Current open-vocabulary scene graph generation algorithms highly rely on both 3D scene point cloud...

Sep 2024 http://arxiv.org/abs/2409.10350v1

CompressedMediQ: Hybrid Quantum Machine Learning Pipeline for High-Dimensional Neuroimaging Data

This paper introduces CompressedMediQ, a novel hybrid quantum-classical machine learning pipeline ...

Sep 2024 http://arxiv.org/abs/2409.08584v3

Tailoring nonsurgical therapy for elderly patients with head and neck squamous cell carcinoma: A deep learning-based approach.

To assess deep learning models for personalized chemotherapy selection and quantify the impact of ba...

Sep 2024 39287264

Intrapartum Ultrasound Image Segmentation of Pubic Symphysis and Fetal Head Using Dual Student-Teacher Framework with CNN-ViT Collaborative Learning

The segmentation of the pubic symphysis and fetal head (PSFH) constitutes a pivotal step in monito...

Sep 2024 http://arxiv.org/abs/2409.06928v1

Multi-Resolution Graph Analysis of Dynamic Brain Network for Classification of Alzheimer's Disease and Mild Cognitive Impairment

Alzheimer's disease (AD) is a neurodegenerative disorder marked by memory loss and cognitive decli...

Sep 2024 http://arxiv.org/abs/2409.04072v2

Leveraging Large Language Models through Natural Language Processing to provide interpretable Machine Learning predictions of mental deterioration in real time

Based on official estimates, 50 million people worldwide are affected by dementia, and this number...

Sep 2024 http://arxiv.org/abs/2409.03375v1

Artificial intelligence classifies primary progressive aphasia from connected speech.

Neurodegenerative dementia syndromes, such as primary progressive aphasias (PPA), have traditionally...

Sep 2024 38912855