Ascensia Announces Finalists for the Ascensia Diabetes Challenge Who Have the Potential to Revolutionize Type 2 Diabetes Management
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Foodient by Whisk: An artificial intelligence powered Digital Dietician that connects people to the world's leading grocery retailers.
It is being developed to help type 2 diabetes patients easily find food they love and is nutritionally tailored, so that they can make sustainable behaviour change. https://whisk.com/
GlycoLeap by Holmusk: A digital health
program that is a simpler way to lose weight and lower A1c. It combines expert human coaching with mobile technology to empower people with type 2 diabetes live a healthier life. GlycoLeap is powered by a scalable, engaging and effective technology platform for data-driven, personalised health coaching. https://www.glycoleap.com/
QStream: A team-based mobile game developed at Harvard Medical School that can prompt meaningful behavior change in people with type 2 diabetes. QStream is proven to generate significant and sustained improvements in blood glucose control among patients who use it. https://qstreamhealthcare.com
My Diabetes Coach by Macadamian: A voice first diabetes management platform that uses Amazon's Alexa to help those with type 2 diabetes better manage their care. The data captured through an integrated wearable device, a mobile phone, and dialogue with the patient provides a personal and empathetic virtual coaching experience that is enabled through artificial intelligence. http://www.macadamian.com/
Path Feel by Walk with Path: An active feedback insole that provides vibrational, or haptic, feedback to the user during walking. This can aid people with diabetic neuropathy in being able to feel the ground and achieve balance. Path Feel is a connected digital solution and integrates data from the insole, which can be used to personalise and enhance care. https://www.walkwithpath.com/
xbird: Medical artificial intelligence software that analyzes micro-movements, collected by smartphones and wearables worn by people with diabetes, and cross references them with historical blood glucose data in order to predict and detect potential hypo- and hyperglycaemic events. The solution creates actionable insights for both doctors and patients. http://www.xbird.io/
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