enhance-d: Enhanced Diabetes Self-Management

enhance-d: Enhanced Diabetes Self-Management

enhance-d: Enhanced Diabetes Self-Management

Diabetes technology generates a lot of data, but rarely is all this data used to inform action. DCB supports enhance-d in combining real-time diagnostics across every aspect of the digital diabetes experience with AI-powered analytics and visualisations to see, diagnose and explain glucose self-management.

Making Sense of Diabetes Data to Inform Self-Management

Diabetes management is influenced by many different factors at all times, including nutrition and exercise. Advances in technology are making data capture of all factors easier than ever before – but how can people with diabetes inform their actions based on this huge amount of data?

enhance-d combines real-time diagnostics across every aspect of the digital diabetes experience with AI-powered analytics and user-friendly visualisations to see, diagnose and explain glucose management. Based on the team’s previous experience working with professional athletes with diabetes, they are familiar with the challenge of creating optimal training plans considering all influencing factors. With enhance-d, their goal was to develop a solution that could generate a simplified overview for everyone, whether professional athletes or individuals simply starting regular exercise.

enhance-d stands for improved self-management for people with diabetes using a simple digital solution. CGM and other portable data allows an understanding of how pharmacologic, behavioural, dietary and activity-based interventions contribute to changes in glucose profiles – and how users can take action based on these findings.

Project Team: Federico Fontana (Founder & CEO), Sam Scott (Founder & CSO), Fabio Saviozzi (Founder & CCO), Felipe Mattioni Maturana (Founder & CTO).

Project support: DCB supports enhance-d financially with 150’000 CHF as well as with access to our network of experts and our knowledge in product development.

enhance-d founders Fabio Saviozzi, Sam Scott, Federico Fontana and Felipe Mattioni Maturana

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Qarbs: Accurate results for estimating carbohydrates

Qarbs: Accurate results for estimating carbohydrates

Qarbs: Accurate results for estimating carbohydrates

Estimating carbohydrates as supreme discipline for people living with diabetes is still depending on gut feelings and experiences. For self-prepared foods it’s most of the time a cakewalk but it becomes more complicated for unknown food items or at friend’s places. The same amount of pasta looks completely different on a small plate than on a bigger plate. To eliminate this source of error our target is offering a reliable digital solution that provides accurate results for an enhanced insulin dosage.

Several neural networks have been developed, trained and tested to be able providing an app that fulfills the needs of its users. Based on a set of pictures taken from the meal in front of you, a 3D model is developed and with this the app defines the volume of a single food item. A curated food database allows the app to define the amount of carbohydrate contented in the food item.

Realizing such a valuable app needs specialists from different areas such as nutrition, computer vision, design, software engineering and regulatory who work closely together. The dedicated team is keen on providing to people living with diabetes a certified medical device that does the carbohydrate counting for them.

Project team: Myriam Tinner (Product Manager, DCB), Melanie Stoll (Nutrition Specialist, DCB), Egemen Vardar&Tobias Maurer (Projektleiter, comerge AG), Andreas Pedroni (Quality Manager, comerge AG), Manuela Miksa&Rafal Wòjcik (UI/UX Designer, comerge AG)

Funding: DCB

App interface for meal scanning

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* Pflichtfelder
DSGVO *

DCB Research AG

Freiburgstrasse 3
3010 Bern
Switzerland