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Researchers in Radcliffe Department of Medicine have developed a heart ‘fingerprint’ to tailor personalised treatment for people at high risk of deadly heart attack.

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Technology developed using artificial intelligence (AI) could identify people at high risk of a fatal heart attack at least five years before it strikes, according to new research funded by the British Heart Foundation (BHF). The findings are being presented at the European Society of Cardiology (ESC) Congress in Paris and published in the European Heart Journal.

Researchers at the University of Oxford have developed a new biomarker, or ‘fingerprint’, called the fat radiomic profile (FRP), using machine learning. The fingerprint detects biological red flags in the perivascular space lining blood vessels which supply blood to the heart. It identifies inflammation, scarring and changes to these blood vessels, which are all pointers to a future heart attack.

Read more (University of Oxford website)

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