Scientists track cyclists to crack the code of exercise and diabetes
NCT ID NCT07286019
Summary
This study aims to collect detailed information from people with type 1 diabetes during a long outdoor bike ride. Researchers will gather data from glucose monitors, fitness trackers, and saliva and urine samples to understand how prolonged exercise affects blood sugar. The goal is to create a high-quality dataset to help develop future artificial intelligence (AI) tools for better diabetes management during physical activity.
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Contacts and locations
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Locations
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Modeling & Intelligent Control Engineering Laboraotry (Universitat de Girona)
Girona, Girona, 17003, Spain
Conditions
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