Latest AI and machine learning research in alzheimer's disease for healthcare professionals.
We study high-dimensional mediation analysis in which exposures, mediators, and outcomes are all mul...
Evaluating the realism of generated images remains a fundamental challenge in generative modeling. E...
The automated evaluation of cognitive status utilizing multimedia technologies presents a promising ...
Objective: Behavioral and social factors (BSFs) substantially influence the risk, onset, and progres...
Biological staging models are a key tool for assessing the severity of Alzheimer's disease (AD), sup...
Precision neuroimaging aims to deliver individualized assessments of brain health, yet a single stru...
Human diseases and adverse drug reactions are ultimately recognized through clinical symptoms, yet t...
Predicting whether someone with mild cognitive impairment (MCI) will progress to Alzheimer's disease...
Resting-state electroencephalography (rs-EEG) offers a cost effective and portable alternative to co...
Alzheimer's disease (AD) diagnosis requires integrating neuroimaging with heterogeneous clinical evi...
Modern clinical practice increasingly depends on reasoning over heterogeneous, evolving, and incompl...
Modern clinical practice increasingly depends on reasoning over heterogeneous, evolving, and incompl...
Advances in single-cell sequencing and CRISPR technologies have enabled detailed case-control compar...
Early detection of Alzheimer's disease from spontaneous speech has emerged as a promising non-invasi...
Background: Advances in medicine depend on analyzing large and complex data sources, but discovery i...
Deep learning has become an important tool for Alzheimer's disease (AD) classification from structur...
Accurate diagnosis of Alzheimer's disease (AD) requires handling tabular biomarker data, yet such da...
Cerebral amyloid angiopathy (CAA) commonly co-occurs with Alzheimer's disease (AD), yet the molecula...
This dissertation investigates privacy-preserving federated learning for Alzheimer's disease classif...
Collecting multiple types of data on the same set of subjects is common in modern scientific applica...
Longitudinal brain MRI is essential for characterizing the progression of neurological diseases such...