SNAQ, a food-based diabetes management app, has announced the launch of an AI-powered meal glucose prediction feature, which allows individuals using continuous glucose monitors (CGMs) to receive personalised predictions of their glucose response before eating any meal.
Harnessing the power of a proprietary deep learning model, SNAQ’s meal glucose predictions are built upon one of the most comprehensive datasets combining dietary intake, glucose levels, insulin usage, and physical activity. This provides users with actionable insights to optimise their food choices and improve glucose management.
“Our meal glucose prediction feature represents a monumental leap in diabetes care,” said Nico Previtali, CTO of SNAQ. “By analysing extensive real-world data, our technology provides highly individualized glucose forecasts, empowering users with insights that were previously impossible.”
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