Neurology

Dementia

Latest AI and machine learning research in dementia for healthcare professionals.

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Neuroimaging-derived brain endophenotypes link molecular mechanisms to Alzheimer’s disease and aging

Alzheimer’s disease (AD) genome-wide association studies (GWAS), typically based on clinical phenoty...

A Large-Scale Serum Metabolite Panel for Baseline Detection of Alzheimer’s Disease

Blood-based metabolomic signatures offer promising, non-invasive avenues for Alzheimer’s disease (AD...

Large Language Model-Driven Prioritization of Alzheimer’s Disease Drug Targets Across Multidimensional Criteria

Large language models (LLMs) offer new opportunities to synthesize the vast and heterogeneous biomed...

Relationship of the Microbiome with Neurodegenerative Diseases: Development of AI Tools to Detect Alzheimer’s

This study aimed to develop an artificial intelligence (AI) algorithm capable of distinguishing Alzh...

Acoustic Analysis of Primary Care Patient-provider Conversations to Screen for Cognitive Impairment

Cognitive impairment (CI) is often under detected in primary care due to time and resource constrain...

A foundation model for mapping the phenomic and genetic landscape of cerebral small vessel disease biomarkers

Cerebral small vessel disease (CSVD) is a leading cause of age-related cognitive decline and neurolo...

Clustering high-cost patients in England using machine learning: a population-based cohort study

To identify clusters of high-cost patients in England based on diagnoses and sociodemographic charac...

Multiscale-Multistage Temporal Convolutional Network for EEG-Based Mild Cognitive Impairment Detection

Mild cognitive impairment (MCI) is an intermediate stage between normal ageing and dementia, with af...

Brain Region-Centered MultiModal Hypergraph Fusion for MCI Conversion Prediction

Alzheimer’s disease (AD) is a progressive neurodegenerative disorder, with mild cognitive impairment...

Dementia etiology classification using NULISA plasma biomarkers and machine learning

Accurate antemortem differentiation among dementia etiologies remains challenging, particularly for ...

Alzheimer's disease detection based on large language model prompt engineering

In light of the growing proportion of older individuals in our society, the timely diagnosis of Al...

Identification and validation of pyroptosis-related genes in Alzheimer's disease based on multi-transcriptome and machine learning.

BACKGROUND: Alzheimer's disease (AD) progression is characterized by persistent neuroinflammation, w...

Jan 2025 40438507
Nanocarrier-based targeted drug delivery for Alzheimer's disease: addressing neuroinflammation and enhancing clinical translation.

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

Jan 2025 40438598
Fully automated MRI-based analysis of the locus coeruleus in aging and Alzheimer's disease dementia using ELSI-Net.

INTRODUCTION: The locus coeruleus (LC) is linked to the development and pathophysiology of neurodege...

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Jan 2025 40365469
Association of RDoC dimensions with brain transcriptional profiles in Alzheimer's disease.

INTRODUCTION: Neuropsychiatric symptoms are common in people with Alzheimer's disease (AD) across al...

(1)
Jan 2025 40352682
Comprehensive Machine Learning-Based Prediction Model for Delirium Risk in Older Patients with Dementia: Risk Factors Identification.

BACKGROUND: Delirium superimposed on dementia (DSD) is a severe complication in older adults with de...

Jan 2025 40395694
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