Objective. The clinical value of intestinal flora balance therapy based on probiotic support in
improving cognitive function and symptoms of patients with Alzheimer's disease was to …

Deep learning is a promising tool that uses nonlinear transformations to extract features from
high-dimensional data. Deep learning is challenging in genome-wide association studies …

Alzheimer's disease (AD) is the most common form of dementia, which disproportionately
affects women. AD symptoms include progressive memory loss associated with amyloid-β …

There have been no previous reports of hippocampal radiomics features associated with
biological functions in Alzheimer's Disease (AD). This study aims to develop and validate a …

Background The interaction between the brain and periphery might play a crucial role in the
development of Alzheimer's disease (AD). Methods Using blood transcriptomic profile data …

Alzheimer's disease (AD) is the most common cause of dementia with no effective therapies.
Aging is a dominant risk factor for AD. The neurovascular unit (NVU) plays an important role …

Background A practical strategy to discover proteins specific to Alzheimer's dementia (AD)
may be to compare the plasma peptides and proteins from patients with dementia to normal …

Dysregulation of gene expression in Alzheimer's disease (AD) remains elusive, especially at
the cell type level. Gene regulatory network, a key molecular mechanism linking …

Alzheimer's Disease (AD) is a progressive neurodegenerative disorder and the most
common cause of dementia; however, early diagnosis of the disease is challenging …

The detection of early molecular mechanisms and potential biomarkers in Parkinson's
disease (PD) remains a challenge. Recent research has pointed to novel roles for post …