Measuring and Predicting Glycemic Response to Food in Patients With Type 1 Diabetes
- Conditions
- Personalized Medicine in Type 1 Diabetes
- Registration Number
- NCT02919839
- Lead Sponsor
- Dr. Orit Hamiel
- Brief Summary
Personalized medicine methods in the management of type 1 diabetes
- Detailed Description
This proposal joins together clinical practitioners, biologists, and computer scientists to set up the infrastructure for research that will facilitate, for the first time, the use of big-data, machine-learning approaches in the application of personalized medicine methods in the management of type 1 diabetes mellitus. We will model the clinical, microbial, and nutritional factors underlying the variability in glycemic response to food in this population; develop algorithms for prediction of this response and for the accurate administration of insulin, assisting the clinical management of the disease and discover intervention targets in the gut microbiome aimed at improving glycemic control.
Recruitment & Eligibility
- Status
- UNKNOWN
- Sex
- All
- Target Recruitment
- 200
over one year of diagnostic with T1DM.
Drug related diabetes. genetical diabetes.
Study & Design
- Study Type
- OBSERVATIONAL
- Study Design
- Not specified
- Primary Outcome Measures
Name Time Method blood glucose 2 weeks
- Secondary Outcome Measures
Name Time Method