Measuring and Predicting Glycemic Response to Food in Patients With Type 1 Diabetes

Overview

Personalized medicine methods in the management of type 1 diabetes

Study Type

  • Study Type: Observational
  • Study Design
    • Time Perspective: Prospective
  • Study Primary Completion Date: September 2018

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.

Interventions

  • Other: non-Interventional

Clinical Trial Outcome Measures

Primary Measures

  • blood glucose
    • Time Frame: 2 weeks

Participating in This Clinical Trial

Inclusion Criteria

over one year of diagnostic with T1DM. Exclusion Criteria:

Drug related diabetes. genetical diabetes.

Gender Eligibility: All

Minimum Age: 2 Years

Maximum Age: N/A

Are Healthy Volunteers Accepted: No

Investigator Details

  • Lead Sponsor
    • Dr. Orit Hamiel
  • Collaborator
    • Weizmann Institute of Science
  • Provider of Information About this Clinical Study
    • Sponsor-Investigator: Dr. Orit Hamiel, Director of the Pediatric Endocrinology and Diabetes Unit, Sheba medical center – Sheba Medical Center
  • Overall Official(s)
    • Orit Hamiel, Prof, Principal Investigator, Sheba Medical Center
    • Eran Segal, Prof., Principal Investigator, Weizmann Institute of Science
  • Overall Contact(s)
    • Orit P Hamiel, Prof., 97235305015, Orit.Hamiel@sheba.health.gov.il

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