Harnessing Artificial Intelligence in Multimodal Omics Data Integration: Paving the Path for the Next Frontier in Precision Medicine

Y Nam, J Kim, SH Jung, J Woerner… - Annual Review of …, 2024 - annualreviews.org
The integration of multiomics data with detailed phenotypic insights from electronic health
records marks a paradigm shift in biomedical research, offering unparalleled holistic views …

Employing Informatics Strategies in Alzheimer's Disease Research: A Review from Genetics, Multiomics, and Biomarkers to Clinical Outcomes

J Bao, BN Lee, J Wen, M Kim, S Mu… - Annual Review of …, 2024 - annualreviews.org
Alzheimer's disease (AD) is a critical national concern, affecting 5.8 million people and
costing more than 250 billion annually. However, there is no available cure. Thus, effective …

Alzheimer's disease diagnosis from multi-modal data via feature inductive learning and dual multilevel graph neural network

B Lei, Y Li, W Fu, P Yang, S Chen, T Wang, X Xiao… - Medical Image …, 2024 - Elsevier
Multi-modal data can provide complementary information of Alzheimer's disease (AD) and
its development from different perspectives. Such information is closely related to the …

A comparative meta-analysis of structural magnetic resonance imaging studies and gene expression profiles revealing the similarities and differences between late …

L Zhao, L Niu, H Dai, TMC Lee, R Huang… - Psychological …, 2024 - cambridge.org
BackgroundLate-life depression (LLD) predisposes individuals to cognitive decline, often
leading to misdiagnoses as mild cognitive impairment (MCI). Voxel-based morphometry …

[HTML][HTML] Multivariate mediation analysis with voxel-based morphometry revealed the neurodegeneration pathways from genetic variants to Alzheimer's Disease

S Mu, J Bao, H Xu, M Shivakumar, S Yang… - AMIA Summits on …, 2024 - ncbi.nlm.nih.gov
Neurodegenerative processes are increasingly recognized as potential causative factors in
Alzheimer's disease (AD) pathogenesis. While many studies have leveraged mediation …

Brain-wide pleiotropy investigation of alcohol drinking and tobacco smoking behaviors

G Deiana, J He, B Cabrera-Mendoza, R Ciccocioppo… - medRxiv, 2024 - medrxiv.org
To investigate the pleiotropic mechanisms linking brain structure and function to alcohol
drinking and tobacco smoking, we integrated genome-wide data generated by the GWAS …

Multiscale Estimation of Morphometricity for Revealing Neuroanatomical Basis of Cognitive Traits

Z Wen, J Bao, S Yang, J Wen, Q Zhan… - 2024 IEEE …, 2024 - ieeexplore.ieee.org
Morphometricity examines the global statistical association between brain morphology and
an observable trait, and is defined as the proportion of the trait variation attributable to brain …