Geriatrics

Alzheimer's Disease

Latest AI and machine learning research in alzheimer's disease for healthcare professionals.

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Geriatrics Subcategories: Alzheimer's Disease Medicare
Showing 2395-2415 of 12,142 articles
Speculative Decoding for Autoregressive Video Generation

Autoregressive video diffusion is emerging as a promising paradigm for streaming video synthesis, wi...

CLIMB: Controllable Longitudinal Brain Image Generation using Mamba-based Latent Diffusion Model and Gaussian-aligned Autoencoder

Latent diffusion models have emerged as powerful generative models in medical imaging, enabling the ...

Improved Multiscale Structural Mapping with Supervertex Vision Transformer for the Detection of Alzheimer's Disease Neurodegeneration

Alzheimer's disease (AD) confirmation often relies on positron emission tomography (PET) or cerebros...

Resting-state fMRI foundation models enable robust and generalizable latent neural target discovery in cognitive aging interventions

The benefits of interventions targeting cognitive aging vary substantially across individuals, large...

ADP-DiT: Text-Guided Diffusion Transformer for Brain Image Generation in Alzheimer's Disease Progression

Alzheimer's disease (AD) progresses heterogeneously across individuals, motivating subject-specific ...

Cross-Modal Knowledge Distillation for PET-Free Amyloid-Beta Detection from MRI

Detecting amyloid-$β$ (A$β$) positivity is crucial for early diagnosis of Alzheimer's disease but ty...

Cross-Cohort Generalizability of Plasma Biomarker Machine Learning Models Reveals Calibration-Driven Degradation in Clinical Utility

BackgroundPlasma biomarkers demonstrate strong within-cohort performance for identifying cerebral am...

Identification and Analysis of Novel RNA Editing Sites in Neurodegenerative Diseases Using Machine Learning Approaches.

ABSTRACT Background: RNA editing is a post-transcriptional modification that alters the sequence of ...

Precision Synthesis of Multi-Tracer PET via VLM-Modulated Rectified Flow for Stratifying Mild Cognitive Impairment

The biological definition of Alzheimer's disease (AD) relies on multi-modal neuroimaging, yet the cl...

Predicting Alzheimer's disease progression using rs-fMRI and a history-aware graph neural network

Alzheimer's disease (AD) is a neurodegenerative disorder that affects more than seven million people...

High-dimensional Many-to-many-to-many Mediation Analysis

We study high-dimensional mediation analysis in which exposures, mediators, and outcomes are all mul...

Gram-MMD: A Texture-Aware Metric for Image Realism Assessment

Evaluating the realism of generated images remains a fundamental challenge in generative modeling. E...

CogPic: A Multimodal Dataset for Early Cognitive Impairment Assessment via Picture Description Tasks

The automated evaluation of cognitive status utilizing multimedia technologies presents a promising ...

BSO-AD: An Ontology for Representing and Harmonizing Behavioral Social Knowledge in ADRD

Objective: Behavioral and social factors (BSFs) substantially influence the risk, onset, and progres...

A unified model for staging amyloid and tau pathology in Alzheimer's disease

Biological staging models are a key tool for assessing the severity of Alzheimer's disease (AD), sup...

NeuroFM: Toward Precision Neuroimaging with Foundation Models for Individualized Brain Health Estimation

Precision neuroimaging aims to deliver individualized assessments of brain health, yet a single stru...

PHENOCAUZ: Linking Human Symptoms, Drug Side Effects and Efficacy to Their Molecular Causes Using Mendelian Disease Biology

Human diseases and adverse drug reactions are ultimately recognized through clinical symptoms, yet t...

EEG-SSFormer: Towards a Robust Mamba-Based Architecture for Dementia Detection from Resting State Electroencephalography

Resting-state electroencephalography (rs-EEG) offers a cost effective and portable alternative to co...

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