In the past decade, multimodal neuroimaging and genomic techniques have been
increasingly developed. As an interdisciplinary topic, brain imaging genomics is devoted to …

Alzheimer's disease (AD) is an incurable neurodegenerative disease, so it is important to
intervene in the early stage of the disease. Brain imaging genetics is an effective technique …

Correctly diagnosing Alzheimer's disease (AD) and identifying pathogenic brain regions and
genes play a vital role in understanding the AD and developing effective prevention and …

Background The lack of analysis of brain networks in individuals with end‐stage renal
disease (ESRD) is an obstacle to detecting and preventing neurological complications of …

Traditional image genetics primarily uses linear models to investigate the relationship
between brain image data and genetic data for Alzheimer's disease (AD) and does not take …

Objective Comprehensive analysis of histopathology images and transcriptomics data
enables the identification of candidate biomarkers and multimodal association patterns …

Background: Alzheimer's disease (AD) is a neurodegenerative disorder that is the most
common form of dementia in the elderly. The drugs currently used to treat AD only have …

The pathogenesis of Alzheimer's disease (AD) is extremely intricate, which makes AD
patients almost incurable. Recent studies have demonstrated that analyzing multi-modal …

The roles of brain region activities and genotypic functions in the pathogenesis of
Alzheimer's disease (AD) remain unclear. Meanwhile, current imaging genetics methods are …

Childhood asthma is one of the most common respiratory diseases with rising mortality and
morbidity. The multi-omics data is providing a new chance to explore collaborative …