Neurology

Dementia

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

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Accelerometer-measured weekend catch-up sleep and incident dementia: a prospective cohort study

To investigate whether accelerometer-measured weekend catch-up sleep, defined as extending sleep on ...

Multi-organ AI Endophenotypes Chart the Heterogeneity of Pan-disease in the Brain, Eye, and Heart

Disease heterogeneity and commonality pose significant challenges to precision medicine, as traditio...

Evaluating the Generalizability of EEG-Based AI Models in Alzheimer’s and Dementia Diagnosis

We thoroughly investigated the generalizability of deep learning models trained on electroencephalog...

Advancing Human Population Genomics with DNA Foundation Models

DNA foundation models offer a new approach to interpret genetic variation, but their potential in po...

An Indicator Cell Assay-based Multivariate Blood Test for Early Detection of Alzheimer’s Disease

The indicator cell assay platform (iCAP) is a novel next-generation approach for blood-based diagnos...

Real-world deployment of remote sleep monitoring technologies reveals distinct patterns associated with cognitive decline

Sleep disturbances and altered circadian rhythms are well-documented in both physiological and biolo...

DualAlign: Generating Clinically Grounded Synthetic Data

Synthetic clinical data are increasingly important for advancing AI in healthcare, given strict priv...

An Unsupervised XAI Framework for Dementia Detection with Context Enrichment

Explainable Artificial Intelligence (XAI) methods enhance the diagnostic efficiency of clinical deci...

Robust Disease Prognosis via Diagnostic Knowledge Preservation: A Sequential Learning Approach

Accurate disease prognosis is essential for patient care but is often hindered by the lack of long-t...

A randomized clinical trial reveals effects of mindfulness and slow breathing on plasma amyloid beta levels

Prior research suggests that meditation may slow brain aging and reduce the risk of Alzheimer’s dise...

Predicting Future Brain Atrophy Based on Longitudinal MRI

Neuron loss is a key feature of neurodegenerative diseases often leading to brain atrophy detectable...

A Self-Explainable Dynamic Risk Monitoring Framework for Predicting Alzheimer’s Disease and Related Dementias

Alzheimer’s Disease and Related Dementias (ADRD) affect millions worldwide and can begin over a deca...

Cerebrospinal fluid proteomics for predictive assessment of Alzheimer’s Disease risk

Alzheimer’s disease (AD) involves early molecular changes beyond amyloid-β (Aβ) and tau, that create...

ALTARN: A Tabular Residual Neural Network for Alzheimer’s Disease Classification and Prediction

Early and accurate prediction of Alzheimer’s disease (AD) from accessible clinical data remains a si...

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