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Approved Research

Integrating clinical biochemical indicators, genetic data, and cardiac imaging data to conduct multi-omics and imaging artificial intelligence research on cardiovascular diseases.

Principal Investigator: Professor Li Chun Quan
Approved Research ID: 152703
Approval date: December 12th 2023

Lay summary

This project aims to improve the precision of diagnosis and treatment for cardiovascular diseases by integrating genetic and magnetic resonance imaging data. To our best knowledge, most current studies leverage single modality data for the diagnosis of cardiovascular diseases. This limitation has motivated us to develop multimodal fusion methods and integrate genetic and imaging data to improve the diagnosis precision of cardiovascular diseases. This project is expected to last five years, and we anticipate that it will be useful for exploring potential functions and regulatory mechanisms in cardiovascular diseases.