Finding new ways to spot people at risk of developing type 2 diabetes which affects more than 500 million people worldwide - is a major global health priority, with estimates suggesting that 1 billion people will have the condition by 2050.
Type 2 diabetes is a leading cause of blindness, kidney failure, heart attacks, strokes and lower limb amputation. It is often linked to being overweight or inactive, or having a family history of the condition, although not all those diagnosed are in those categories.
The transformative AI tool developed by doctors and scientists can predict the people at risk as early as 13 years before it begins to develop.
The technology analyses electrocardiogram (ECG) readings during routine heart scans. It can detect subtle changes too small to be noticed by the human eye that could raise the alarm early.
It could enable early interventions and potentially help people avoid developing the condition altogether by, for example, making changes to diet and lifestyle.
Esta historia es de la edición December 24, 2024 de The Guardian.
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