Latest AI and machine learning research in alzheimer's disease for healthcare professionals.
Introduction: Early Alzheimer's disease (AD) staging remains challenging because clinical categories...
Background: Older adults living with mild cognitive impairment (MCI) or Alzheimer's disease and rela...
Multimodal Alzheimer's disease (AD) diagnosis benefits from integrating heterogeneous clinical, imag...
Background: Traditional neuropathological assessment of Alzheimer's disease (AD) relies on manual, s...
Identifying progressive dementia during its prodromal stage is a challenging yet critical task for h...
Alzheimer's disease prediction involves irregular visits, heterogeneous measurements and incomplete ...
Autism spectrum disorder (ASD) is diagnosed through specialist observation of a child's social behav...
Background: Glucagon-like peptide-1 receptor agonists (GLP-1RAs) have rapidly expanded from primaril...
Drug-target affinity (DTA) prediction is widely used to prioritize candidate compounds before costly...
Deep tabular generative models are benchmarked on datasets with tens of thousands of rows; clinical ...
Purpose: Digital-twin frameworks can potentially offer a pathway toward individualized treatment but...
Speech-based Alzheimer's disease (AD) assessments increasingly rely on pretrained self-supervised le...
Depression in Alzheimer's disease (AD) is clinically challenging to characterise because affective a...
In many neurodegenerative and systemic disorders, proteins can form insoluble protein aggregates cal...
Augmenting small concurrent studies with external or historical cohorts is attractive in drug develo...
Foundation models (FMs) have rapidly become dominant in artificial intelligence and are increasingly...
Open-source deep learning models promise scalable quantification of MRI-visible perivascular spaces ...
Deep learning models for Alzheimer disease (AD) classification routinely report near-perfect discrim...
INTRODUCTION: Voice data combined with large language models may detect cognitive impairment, yet an...
Electrocardiogram (ECG) foundation models typically tokenize the signal into fixed-length patches th...
We introduce Dementia Language Models (DLMs)--a generalizable and controllable representation of cog...