Dementia

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...

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...

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...

Dementia screening with the Rivermead Behavioural Memory Test: A machine learning analysis.

BackgroundWith the advent of anti-amyloid-β monoclonal antibody therapies and the growing societal b...

Brain PET in the era of anti-amyloid-β antibody therapy for Alzheimer disease.

Here the current and emerging roles of brain positron emission tomography (PET) in Alzheimer's disea...

Adaptive neighborhood aggregation graph neural network for early diagnosis of Alzheimer's disease.

Early diagnosis of Alzheimer's disease (AD) is crucial for timely intervention but remains challengi...

A frontotemporal dementia-like phenotype in schizophrenia: links to striatal dopamine and iron accumulation.

Some schizophrenia patients share characteristics with behavioral variant frontotemporal dementia (b...

MMP9 as a shared immune-related gene in Alzheimer's and Huntington's diseases: a cross-tissue transcriptomic analysis.

Alzheimer's disease (AD) and Huntington's disease (HD) share neuroinflammatory mechanisms, yet their...

Causal ordinal connections based characterization of weighted effective brain network for schizophrenia detection.

The human brain is responsible for a wide range of a person's behavioral and cognitive capabilities....

Alzheimer's disease with progression analysis using a novel dilated convolutional attention based long short term memory model.

Alzheimer's disease (AD) is an irreversible neurodegenerative syndrome that affects memory, cognitiv...

Baseline brain volumes predict cognitive decline more robustly than atrophy rates: Evidence for brain reserve.

The concept of brain reserve offers a framework for understanding the mechanisms of cognitive resili...

Association of MRI-Visible Perivascular Spaces With Longitudinal Cognitive Decline Over a Decade.

BACKGROUND AND OBJECTIVES: Cerebral small vessel disease (SVD) is the most common vascular contribut...

Olfactory radiomics signatures link pTau217 to cognitive impairment in probable Alzheimer's disease: a multi-cohort machine learning study.

Leveraging routine clinical data for dementia risk prediction using machine learning.

BackgroundEarly diagnosis of dementia is essential for enabling timely interventions that may slow d...

Decoupling MCI-specific signatures from shared neurobiological substrates of cognitive aging via deep learning.

The specific neuroanatomy of mild cognitive impairment (MCI) is obscured by its clinical heterogenei...

Robust validation of neuroimaging and clinical models via the SAR method: A case study based on the ADNI dataset.

Alzheimer's disease (AD) is a progressive neurodegenerative disorder characterized by cognitive decl...