Multi-Modal Integration Analysis of Alzheimer’s Disease Using Large Language Models and Knowledge Graphs

Multi-Modal Integration Analysis of Alzheimer’s Disease Using Large Language Models and Knowledge Graphs

We propose a novel framework for integrating fragmented multi-modal data in Alzheimer’s disease (AD) research using large language models (LLMs) and knowledge graphs. While traditional multi-modal analysis requires matched patient IDs across datasets, our approach demonstrates population-...

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Bibliographic Details
Main Authors: Kanan Kiguchi, Yunhao Tu, Katsuhiro Ajito, Fady Alnajjar, Kazuyuki Murase
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Alzheimer’s disease
biomarker
clinical diagnosis
cross-modal analysis
EEG
gene expression
Online Access:https://ieeexplore.ieee.org/document/11048782/
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https://ieeexplore.ieee.org/document/11048782/

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