An Integrated Graph Convolutional Network Multimodal Platform (GCN-MP) for Early Detection and Prediction of Late Onset Alzheimer’s Disease

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Grant Data
Project Title
An Integrated Graph Convolutional Network Multimodal Platform (GCN-MP) for Early Detection and Prediction of Late Onset Alzheimer’s Disease
Principal Investigator
Professor Li, Victor On Kwok   (Principal Investigator (PI))
Co-Investigator(s)
Downey Jocelyn   (Co-Investigator)
Dr Han Yang   (Co-Investigator)
Duration
12
Start Date
2023-10-11
Amount
389000
Conference Title
An Integrated Graph Convolutional Network Multimodal Platform (GCN-MP) for Early Detection and Prediction of Late Onset Alzheimer’s Disease
Keywords
Multimodal GCN LOAD Prediction, Multimodal Data Fusion, LOAD Biomarker and Etiology, Integrated Multimodal Risk Score, Population and Feature Graphs
Discipline
Artificial Intelligence and Machine learningNeurobiology and Neuromedicine
Panel
Engineering (E)
HKU Project Code
HLCA/E-712/23
Grant Type
Healthy Longevity Catalyst Awards (Hong Kong) 2023
Funding Year
2023
Status
On-going
Objectives
(1) Develop an integrated Graph Convolutional Network Multimodal Platform (GCN-MP) for early prediction of the onset age of Late Onset Alzheimer’s Disease (LOAD); (2) Uncover the potential causal biomarkers and principal pathways driving LOAD onset.