AI-powered knowledge graph links heart images to genes and drug predictions

CardioKG provides a detailed view of the heart's structure and function which dramatically improves the accuracy of predicting which genes are linked to disease and whether existing drugs could treat them.

Knowledge graphs are a powerful tool for bringing together information from biological databases and linking what is already known about genes, diseases, treatments, molecular pathways and symptoms in a structured network. Until now, they have lacked detailed, individual-level information about how the affected organ actually looks and functions.

The latest research, led by postdoctoral researcher Dr. Khaled Rjoob and group leader Professor Declan O’Regan from the Computational Cardiac Imaging Group at the MRC Laboratory of Medical Sciences, has advanced this technology by adding imaging data to a knowledge graph for the first time.

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