August 3, 2025Open Access

A multi-modal vision knowledge graph of cardiovascular disease

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Knowledge graph predicts gene-disease associations in cardiovascular disease, suggesting new drug repurposing strategies.

The model predicts new genetic associations linked to cardiovascular disease, enhancing our understanding of disease mechanisms.
Over 200,000 cardiovascular phenotypes were derived from computer vision analysis, creating a rich knowledge graph.
A variational graph auto-encoder was utilized to generate effective node embeddings for better prediction outcomes.
The advancements could assist in identifying new therapeutic targets and improving survival rates in cardiovascular patients.

Rjoob et al. (2025) studied this question.

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