Lead Investigator: María Elena Hernando Pérez, Universidad Politécnica de Madrid
Title of Proposal Research: PROPHECY: Preprandial Optimized Glucose Prediction with Objective Physical Exercise and Carbohydrate Estimation for Insulin Calculation in Do-it-Yourself Systems
Vivli Data Request: 9746
Funding Source: Spanish FIS grant from the Ministry of Health and Consumer Affairs “PROPHECY”- FIS PI21/01028, co-funded by FEDER.
Potential Conflicts of Interest: None
Summary of the Proposed Research:
Our project proposes the creation of a novel intelligent tool to optimize the parameters that lead to the proposal of the preprandial insulin dose, incorporating an automatic glucose predictor based on deep learning that considers the impact of previous patient’s physical activity. Additionally, we will build and integrate in the tool algorithms to calculate, in a personalized and dynamic way, the insulin sensitivity factor, active insulin and target glucose.
Requested Studies:
Type 1 Diabetes EXercise Initiative: The Effect of Exercise on Glycemic Control in Type 1 Diabetes Study
Data Contributor: Jaeb Center for Health Research Foundation, Inc.
Study ID: T1-DEXI
Sponsor ID: T1-DEXI
Type 1 Diabetes EXercise Initiative Pediatric Study (T1DexiP): The Effect of Exercise on Glycemic Control in Youth with Type 1 Diabetes
Data Contributor: Jaeb Center for Health Research Foundation, Inc.
Study ID: T1-DEXIP
Sponsor ID: T1-DEXIP