{"version":"1.0","type":"rich","provider_name":"Acast","provider_url":"https://acast.com","height":250,"width":700,"html":"<iframe src=\"https://embed.acast.com/$/6214f04174d82e00145af407/6a9810f43e79af5f48d61780?\" frameBorder=\"0\" width=\"700\" height=\"250\"></iframe>","title":"AI in CGM: Glucose forecasting, predictive analytics & beyond","thumbnail_width":200,"thumbnail_height":200,"thumbnail_url":"https://open-images.acast.com/shows/6214f04174d82e00145af407/1788350670024-5c149f11-90a0-4f2c-b7d0-ada1a577fc72.jpeg?height=200","description":"<p>How is AI transforming continuous glucose monitoring – and what could it mean for people living with diabetes? In the second episode of our four-part Technology &amp; AI podcast series, Host Dr Phyllisa Deroze is joined by Professor Julia Mader and Dr Manoj Chawla to<strong> explore glucose forecasting, predictive analytics and more personalised care</strong>. They also tackle the big questions around trust, transparency, access and clinical oversight as AI becomes increasingly embedded in diabetes technology.</p>","author_name":"International Diabetes Federation"}