Healthcare data are inherently multimodal, including electronic health records (EHR),
medical images, and multi-omics data. Combining these multimodal data sources …

Globally, there is a huge unmet need for effective treatments for neurodegenerative
diseases. The complexity of the molecular mechanisms underlying neuronal degeneration …

Brain functional imaging data, especially functional magnetic resonance imaging (fMRI)
data, have been employed to reflect functional integration of the brain. Alteration in brain …

Introduction Multiple structural brain changes in Alzheimer's disease (AD) and mild cognitive
impairment (MCI) have been revealed on magnetic resonance imaging (MRI). There is a fast …

Recent work has indicated the potential utility of automated language analysis for the
detection of mild cognitive impairment (MCI). Most studies combining language processing …

The classification of mild cognitive impairment (MCI), which is a early stage of Alzheimer's
disease and is associated with brain structural and functional changes, is still a challenging …

Background The identification of early mild cognitive impairment (EMCI), which is an early
stage of Alzheimer's disease (AD) and is associated with brain structural and functional …

Introduction Multi-modal neuroimaging metrics in combination with advanced machine
learning techniques have attracted more and more attention for an effective multi-class …

Identifying individuals with early mild cognitive impairment (EMCI) can be an effective
strategy for early diagnosis and delay the progression of Alzheimer's disease (AD). Many …

Background Diffusion tensor imaging (DTI) has been widely used to identify structural
integrity and to delineate white matter (WM) degeneration in Alzheimer's disease (AD) …