| Students | Andrew Song
Arham Hasan |
| School | GEDSB - North Park Collegiate and Vocational School - Brantford |
| Level | Senior 11/12 - Grade 12 |
| Group | Group 9 - Health Sciences II |
| Abstract | This project evaluates the effectiveness of non-invasive glucose monitoring by comparing tears and sweat as alternative indicators of blood glucose levels. Using wearable collection devices and colorimetric glucose detection, followed by machine learning regression to assess predictive accuracy, this study quantitatively demonstrates the effectiveness of alternative biofluids for blood glucose monitoring, exploring less painful glucose testing to improve the daily lives of individuals with diabetes. |