Alzheimer's Disease

Improving early detection of Alzheimer's disease through MRI slice selection and deep learning techniques.

Alzheimer's disease is a progressive neurodegenerative disorder marked by cognitive decline, memory ...

How artificial intelligence is shaping neuropsychology: A focus on cognitive assessment of neurodegenerative disorders.

Artificial intelligence (AI) and machine learning (ML) algorithms are revolutionising the world, and...

Multimodal Alzheimer's disease recognition from image, text and audio.

Alzheimer's disease (AD) is a progressive neurodegenerative disorder that significantly affects cogn...

Ensemble deep learning model for early diagnosis and classification of Alzheimer's disease using MRI scans.

BackgroundAlzheimer's disease (AD) is an irreversible neurodegenerative disorder characterized by pr...

Machine learning applications in vascular neuroimaging for the diagnosis and prognosis of cognitive impairment and dementia: a systematic review and meta-analysis.

Longitudinal structural MRI-based deep learning and radiomics features for predicting Alzheimer's disease progression.

BACKGROUND: Alzheimer's disease (AD) is the principal cause of dementia and requires the early diagn...

Strengthening Africa's brain health and economic resilience.

Africa stands at a decisive moment in which urgent action is essential to safeguard its brain health...

Proactive care architecture for care robots.

Care robots have been developed to address the shortage of human caregivers in aging societies facin...

Developing an Equitable Machine Learning-Based Music Intervention for Older Adults At Risk for Alzheimer Disease: Protocol for Algorithm Development and Validation.

BACKGROUND: Given the high prevalence and cost of Alzheimer disease (AD), it is crucial to develop e...

Alzheimer's disease risk prediction using machine learning for survival analysis with a comorbidity-based approach.

Alzheimer's disease (AD) presents a pressing global health challenge, demanding improved strategies ...

Transformer-Based Deep Learning Approaches for Speech-Based Dementia Detection: A Systematic Review.

As the population of older adults continues growing, so will the need for cost-effective approaches ...

Drug repurposing for Alzheimer's disease using a graph-of-thoughts based large language model to infer drug-disease relationships in a comprehensive knowledge graph.

Drug repurposing (DR) offers a promising alternative to the high cost and low success rate of tradit...

VR-based gamma sensory stimulation: a pilot feasibility study.

Alzheimer's disease (AD) presents a critical global health challenge, with current therapies offerin...

Integrating Deep Learning and Real-Time Imaging to Visualize In Situ Self-Assembly of Self-Healing Interpenetrating Polymer Networks Formed by Protein and Polysaccharide Fibers.

Fibrillar protein hydrogels are promising sustainable biomaterials for biomedical applications, but ...

Sex differences in white matter amplitude of low-frequency fluctuation associated with cognitive performance across the Alzheimer's disease continuum.

BackgroundSex differences in Alzheimer's disease (AD) progression offer insights into pathogenesis a...

Multi-omics analysis of plasma and CSF in spontaneous diabetic cynomolgus monkeys: Unravelling and validating the key molecular markers that predict the preclinical pathological formation of Alzheimer's disease.

Alzheimer's disease (AD) biomarkers (Aβ42 or Tau 181) have high diagnostic performance. However, whe...

Integrating Time and Frequency Domain Features of fMRI Time Series for Alzheimer's Disease Classification Using Graph Neural Networks.

Accurate and early diagnosis of Alzheimer's Disease (AD) is crucial for timely interventions and tre...

xEEGNet: Towards explainable AI in EEG dementia classification.

OBJECTIVE: This work presents xEEGNet, a novel, compact, and explainable neural network for EEG data...

Development and Pilot Testing of an Artificial Intelligence and Care Coach Intervention for Cognitively Impaired Older Adults.

BACKGROUND: Care transitions from the emergency department (ED) to community settings are particular...

TA-SSM net: tri-directional attention and structured state-space model for enhanced MRI-Based diagnosis of Alzheimer's disease and mild cognitive impairment.

Early diagnosis of Alzheimer's disease (AD) and its precursor, mild cognitive impairment (MCI), is c...

Uncovering active ingredients and mechanisms of Pholiota adiposa in the treatment of Alzheimer's disease based on network pharmacology and bioinformatics.

Pholiota adiposa is recognized for its health benefits, particularly in Alzheimer's disease (AD), bu...