Researchers develop new AI tool to better predict stroke risk

Researchers from the University of Technology Sydney (UTS) have developed an AI model that analyzes a person's DNA to better identify genetic risk factors for stroke, paving the way for more personalized risk assessments. Stroke is the second leading cause of death worldwide, with around 46,000 Australians having a stroke each year, and one in three survivors experiencing moderate to severe disability.

The AI tool, unique in its ability to consider genetic variants' location in the genome and their potential interactions, was more accurate than previous genetic risk tools at distinguishing people who had suffered a stroke from those who had not. The study, published in Computer Methods and Programs in Biomedicine, identified 18 genetic variants associated with ischemic stroke, the most common type of stroke, with people having the highest genetic risk score having a 22% higher chance of stroke compared with the lower-risk group.

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