IS A.I. THE ANSWER?

Researchers at the University of Warwick in England have developed technology that uses artificial intelligence to detect low BGLs without the need for a fingerprick test. Through wearable sensors, their technology uses raw electrocardiogram (ECG) signals (heartbeats) to determine a hypoglycaemic event with 82 per cent accuracy, which is comparable with continuous glucose monitoring systems. As an ECG – a test designed to measure the heart’s electrical activity to determine heart problems – can detect heart changes at all times, this non-invasive test could provide clinicians with an insight into adapting therapy.