Researchers develop artificial intelligence model to assess genetic stroke risk

Researchers at the University of Technology Sydney have developed an artificial intelligence tool that analyses human DNA to identify genetic risk factors for stroke, Euronews reported. Stroke is the second leading cause of death worldwide. [1]

According to Euronews, the research team identified specific genes associated with a higher predisposition to ischaemic stroke. Ischaemic stroke is the most common form of stroke and occurs when a blood clot restricts blood flow to the brain. [1]

A stroke occurs when blood flow to part of the brain is reduced or blocked, which causes cell death and stops parts of the brain from functioning properly. The two main types of stroke are ischemic, caused by a lack of blood flow, and hemorrhagic, caused by bleeding. [2]

Kairui Guo, the study's corresponding author, told Euronews that patients who experience a stroke at a young age frequently want to know if their family members face similar risks. Guo stated that these new artificial intelligence tools will help families better understand those risk factors. [1]