Painless Glucose Monitoring: How AI transforms Diabetes Care
Data Science takes us closer to painless health monitoring. Could we do blood glucose testing without pricking our skin, using artificial intelligence instead? Yasmine Mohamed thinks so. During her MSc in Applied Information and Data Science at Lucerne University of Applied Sciences and Arts, she trained machine learning models to monitor glucose levels.
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Yasmine Mohamed, graduate of the MSc in Applied Information and Data Science at the Lucerne University of Applied Sciences and Arts.
Revolutionizing Health: AI-Powered Glucose Monitoring Without the Pric
Yasmine’s project aims to predict hypoglycemia – a condition that can be dangerous during sleep – by using data from commercially available wearable devices, a continuous glucose monitor (CGM), and diary notes and by training machine learning models with the data.
Artificial Intelligence (AI) helps her to rethink health monitoring. Around half a million people in Switzerland have diabetes, requiring regular blood sugar measurements through blood samples or body-attached devices. But could smartwatches or similar devices soon be programmed to warn them about hypoglycemia?
The algorithms developed in Yasmine’s Master’s thesis aim to provide non-invasive alerts for hypoglycemia. When integrated into smartwatches, these algorithms could offer people with diabetes a valuable new tool to manage their health.
Click here to check out Yasmine’s project!
We would like to thank Yasmine Mohamed for sharing her fascinating project!
Health Science x Data Science Series
This article is part of our “Health Science x Data Science” series, where we explore how data-driven innovation is transforming healthcare.
Learn more about the initiative on our project page: Health Science x Data Science
Check out the other articles in the series:
- #1 Painless Glucose Monitoring: How AI transforms Diabetes Care (this article)
- #2 Smart Reha: Entering a New Era of Stroke Recovery with AI
- #3 Digital Companion: AI is redefining how we approach social support (coming soon!)
Stay tuned for more insights at the intersection of health and AI-powered data science!
Data is the resource of the 21st century!
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