This startup is developing a diabetes management mobile application that features glucose level prediction, bolus insulin dose recommendations, and food recognition technology. By providing real-time insights and personalized guidance, the app aims to enhance the health outcomes and life expectancy of individuals with type 1 diabetes.
Funding
Funding not disclosed
Founders
Product
Problem
Individuals with type 1 diabetes face challenges in managing their glucose levels, calculating appropriate insulin dosages, and accurately tracking carbohydrate intake, which can lead to suboptimal glycemic control and increased risk of complications. Current methods for diabetes management often require manual tracking, estimation, and calculations, which can be burdensome and prone to errors.
Solution
This startup is developing a mobile application designed to simplify and improve diabetes management for individuals with type 1 diabetes. The app leverages glucose level prediction algorithms to anticipate potential fluctuations and provide proactive alerts. It also offers bolus insulin dose recommendations based on real-time glucose data, carbohydrate estimates, and individual insulin sensitivity factors. Furthermore, the app incorporates food recognition technology to assist users in accurately identifying and logging their meals, streamlining the process of carbohydrate counting.
Target Audience
The primary target audience is individuals with type 1 diabetes who are seeking a comprehensive and user-friendly mobile application to improve their glycemic control and overall diabetes management.
Features
- Real-time glucose level prediction using machine learning algorithms
- Automated bolus insulin dose recommendations based on personalized parameters
- Food recognition technology for simplified carbohydrate tracking
- Integration with continuous glucose monitors (CGMs) for seamless data input
- Personalized insights and guidance based on individual diabetes management patterns
- Secure data storage and privacy protection