Our recent study on hypoglycaemia detention via AI and ECG waveform from few heartbeats is having a significant circulation among media.

According to Nature, our paper is in the 99^th percentile, ranked 764^th of the 232,496 tracked articles of a similar age in all journals (i.e., top 3 per thousand!), per media interest. Most important, a number of patients and patient associations are approaching our team to ask for more information, expressing satisfaction and encouragement for us to go on.

While we still confirm that those are only preliminary results coming from a small pilot (8 in the paper published in Scientific Reports and 25 in a second paper now under revision), and more research and validation will be required before considering to move this promising technology into the clinical practice, we thing that this interest is inspiring and we will continue with all our determination our work in this area.

Here some articles recalling our work:

• The Times, AI heart monitor alerts diabetics to low blood sugar
• Science Daily, AI can detect low-glucose levels via ECG without fingerprick test
• Diabetes.co.uk, AI and ECG could provide an alternative to finger prick tests