Alzheimer's Disease

Developing machine learning-enhanced WHODAS 2.0 short forms for persons with dementia.

BACKGROUND: Disability assessment in dementia is important for care planning, but the full World Hea...

Cognitive Reserve in rural and urban populations: Insights from two aging cohorts in southern India.

BACKGROUND: There are no Indian studies estimating Cognitive Reserve (CR) across rural and urban agi...

Balancing Speed and Sensitivity: Echo-Planar Accelerated MRI for ARIA-H Screening in Anti-Aβ Therapeutics.

The recent advent of anti-amyloid-β monoclonal antibodies has introduced new demands for MRI-based s...

Deep Learning Reconstruction Enables Diagnostic-Quality 0.4T Knee and Spine MRI in One-Third of the Time.

There has been a growing interest in low-field MRI due to its lower costs, enabling an increase in a...

Touch Modulates Gamma-Band Network Dynamics in the Infant Brain.

Touch is a foundational sensory modality in early development, playing a pivotal role in shaping soc...

Contextualizing Socioeconomic Status Effects on Adolescent Brain Structure and Cognitive Skills: Evidence From the ABCD Study.

Youths' socioeconomic status (SES) correlates with academic, cognitive, and neural outcomes, partly ...

GPND-AI NULISA: A 15-Protein AI classifier for diagnosis and co-pathology profiling across neurodegenerative diseases.

INTRODUCTION: Accurate clinical diagnosis of neurodegenerative diseases remains challenging, particu...

Bibliometric analysis of Alzheimer's and dementia research in Latin America.

INTRODUCTION: Dementia is increasing rapidly in Latin America and the Caribbean (LAC), but research ...

Multimodal deep learning neuroimaging approach to enhance CT-based diagnosis of Alzheimer's disease.

Neuroimaging plays a critical role in the diagnosis of Alzheimer's disease (AD), with Magnetic Reson...

The applications of single-cell and spatial transcriptomics in neuroscience and brain disorders.

Spatial transcriptomics extends traditional transcriptomic methods by quantifying gene expression wi...

Discovering non-linear dynamics of miRNAs in Alzheimer's disease-related cognitive impairment: a cross-species approach with explainable machine learning.

BACKGROUND: MicroRNA (miRNA) biomarker studies in Alzheimer's disease (AD) typically assume monotoni...

Interpretable Deep Survival Analysis of Alzheimer's Disease via Metabolic Genetic Variants.

BACKGROUND: Alzheimer's disease (AD) is a progressive neurodegenerative disease. Traditional models ...

Large Language Model and Pediatric Neurosurgery - A Neurosurgeon's Perspective on the Artificial Nervous System.

Large language models (LLMs) are rapidly transforming healthcare, yet their implications for pediatr...

Interpretable multivariate survival models: Improving predictions for conversion from mild cognitive impairment to Alzheimer's disease via data fusion and machine learning.

Accurately predicting which individuals with mild cognitive impairment (MCI) will progress to Alzhei...

Machine learning to diagnose, classify and predict phenoconversion in isolated REM sleep behavior disorder.

Rapid eye movement (REM) sleep behaviour disorder (RBD), particularly its idiopathic/isolated form (...

Assessment of Large Language Models for Tracheostomy Care in Pediatrics: ChatGPT vs Claude.

INTRODUCTION: This study aimed to evaluate the accuracy, completeness, clarity, and relevance of res...

Predicting Peptide Aggregation with Protein Language Model Embeddings.

Amyloid fibrils, a form of peptide aggregates, are associated with multiple diseases and hinder the ...

Amyloid-beta statuses prediction with free water MR imaging features in Alzheimer's disease using machine learning models.

Development of a community home-based dual-supplier cooperation care model for people with dementia based on an intelligent decision-assistance system: protocol of a 1-year randomised controlled trial in China.

INTRODUCTION: Dementia imposes significant care and financial burdens on families and countries glob...

Establishing a Diagnostic Model Based on Plasma CDR1as and Alpha-Synuclein for Mild Cognitive Impairment in Type 2 Diabetes.

Emerging evidence implicates cerebellar degeneration-related protein 1 antisense transcript (CDR1as)...

Data-driven thresholds for standardized classification of severe Alzheimer's disease neuropathology using digital neuropathology.

Alzheimer's disease neuropathological changes (ADNC)-operationalized with semi-quantitative paramete...