Neurology

Dementia

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

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Sleep EEG Signal Criticality as a Non-Invasive Predictor of Cognitive Decline in Dementia

Early detection of neurodegeneration remains a critical clinical challenge. This study investigates ...

Transition-Based Digital Twin Modelling for Alzheimer's Disease under Sparse Longitudinal Data

Alzheimer's disease (AD) progression is highly heterogeneous and is typically observed through spars...

Multilingual Detection of Alzheimer's Disease from Speech: A Cross-Linguistic Transfer Learning Approach

The development of multilingual Alzheimer's Disease Dementia (AD) detection models presents signific...

Cross-scale spatially-aware generative modeling of transcriptomic programs underlying neurodegenerative brain organization

Neurodegenerative disorders such as Alzheimer's disease exhibit highly organized patterns of regiona...

Predicting the timing of first sustained cognitive worsening in Alzheimer's disease using real-world clinical data and machine learning

Background: Cognitive assessments are sparsely documented in electronic health records (EHRs), limit...

Multiplex Proteomics of Lewy Body Dementia Reveals Cerebrospinal Fluid Biomarkers of Clinical and Neuropathological Heterogeneity

Lewy body dementia (LBD), which encompasses Parkinson's disease dementia (PDD) and Dementia with Lew...

Towards A Foundation Model for Clinical Voice Biomarkers

Vocal biomarkers, encompassing voice and speech, have largely been developed for individual conditio...

A Multi-Agent RAG Framework for Biomedical Literature Analysis

Background: The biomedical literature is expanding at an unprecedented rate, with over 4,000 new art...

Wearable and Interview-based Assessment of Psychological Risk in Alzheimers Caregivers: Machine Learning vs. Large Language Models

Spousal caregivers of individuals with Alzheimers disease and related dementias frequently experienc...

Inducible lipid storage and steatosis in the human choroid plexus associated with age and adiposity

Cells that store lipids for other cells or organs can contain ''giant'' or large lipid droplets (LLD...

CSV-ViT: A Vision Transformer with the Variable-sized Cortical Supervertices for Detection of Alzheimer's Disease Pathologies

Confirming Alzheimer's disease (AD) typically relies on positron emission tomography (PET), which re...

A Multimodal Framework for Dementia Detection via Linguistic and Acoustic Representation Learning

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

ARMA-C3: A Contrastive ARMA Convolutional Framework for Unsupervised and Semi-supervised Classification

In biomedical and neurodegenerative disorders, accurate and early disease identification remains cha...

Predicting Autopsy-Confirmed Neuropathology across Clinical, Neuroimaging, and CSF Biomarkers using Machine Learning

Accurate in vivo prediction of neuropathology is critical for advancing diagnosis and treatment of A...

Deep Learning and Machine Learning for Early Detection of Alzheimer's Disease: A Systematic Review and Meta-Analysis

Alzheimer's disease is a progressive neurodegenerative disorder that poses a growing global public h...

The YTHDF proteins shape the brain gene signatures of Alzheimer's disease

The gene signatures of Alzheimer's Disease (AD) brains reflect an output of a complex interplay of g...

petVAE: A Data-Driven Model for Identifying Amyloid PET Subgroups Across the Alzheimer's Disease Continuum

Amyloid-{beta} (A{beta}) PET imaging is a core biomarker and is sufficient for the biological diagno...

Von Economo neurons enable reliable social skill acquisition in recurrent spiking neural networks: a computational account with clinical predictions

Von Economo neurons (VENs) are selectively lost in behavioural-variant frontotemporal dementia (bvFT...

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