Upcoming Webinars Archived Webinars Training Vitals Host A Webinar About Get Updates Contact

Better Meal Planning for Diabetics Using a Predictive Blood Sugar App

XTALKS VITALS NEWS

Health App

Glucoracle uses a personalized algorithm to help patients plan better meals and control their glucose levels.

Share this!

April 21, 2017 | by Sarah Hand, M.Sc.

A new app could allow people with type 2 diabetes to make predictions about the impact of a meal on their blood sugar levels, before they even take a bite. Glucoracle uses a personalized algorithm to help patients plan better meals and control their glucose levels.

Type 2 diabetes affects eight percent of people in the US, and ensuring blood glucose levels stay as stable as possible throughout the day is key to managing the disease. According to the researchers – who published the details of their app’s algorithm in the journal, Computational Biology – diet and exercise should be paired with diabetic medication in order to help patients prevent complications.

“While we know the general effect of different types of food on blood glucose, the detailed effects can vary widely from one person to another and for the same person over time,” said Dr. David Albers, Associate research scientist in Biomedical Informatics at Columbia University Medical Center (CUMC), and lead author on the study. “Even with expert guidance, it’s difficult for people to understand the true impact of their dietary choices, particularly on a meal-to-meal basis. Our algorithm, integrated into an easy-to-use app, predicts the consequences of eating a specific meal before the food is eaten, allowing individuals to make better nutritional choices during mealtime.”

The Glucoracle app requires users to regularly update information, including blood sugar levels and nutritional content of foods, in order to make accurate predictions for the future. This built-in algorithm uses a process called data assimilation – also applied to weather forecasting – to create an ever-changing model of that individual’s response to consuming various foods.

“The data assimilator is continually updated with the user’s food intake and blood glucose measurements, personalizing the model for that individual,” said Dr. Lena Mamykina, professor of biomedical informatics at CUMC, and co-developer of the Glucoracle app.



Users must upload blood glucose measurements, meal photos and estimated nutritional content to the app for a one week period before the Glucoracle will start making predictions. This lead time provides the algorithm with enough historical data about how the person’s blood sugar levels have responded to meals in the past.

The data assimilator was tested in a study of five participants, including three diagnosed with type 2 diabetes and two healthy individuals. The researchers compared the app’s predictions to postprandial blood glucose measurements from a glucometer, as well as predictions made by certified diabetes educators.

While the app’s predictions for individuals with diabetes were slightly less accurate compared to the actual post meal glucose levels, they were similar to predictions made by the diabetes educators. Glucoracle was able to make estimates for the healthy individuals which were comparable to the readings from the glucometer.

“There’s certainly room for improvement,” said Albers. “This evaluation was designed to prove that it’s possible, using routine self-monitoring data, to generate real-time glucose forecasts that people could use to make better nutritional choices. We have been able to make an aspect of diabetes self-management that has been nearly impossible for people with type 2 diabetes more manageable. Now our task is to make the data assimilation tool powering the app even better.”

According to the researchers, the app could be ready for release within the next two years, pending results of a larger clinical trial. While there are many apps available to help people manage diabetes, the Glucoracle app is the first-of-its-kind to make personalized predictions for post meal blood glucose levels.


Keywords:  Type 2 Diabetes, Blood Glucose, Health App


| NEXT ARTICLE | MORE NEWS | BLOGS | VIDEOS | POLLS & QUIZZES | WEBINARS |

Share this with your colleagues!

MORE NEWS
Could Genetic Markers Help Identify Patients at Risk of Opioid Overdose?

June 26, 2017 - Researchers at Erasmus University Medical Center in the Netherlands have identified 10 genes which may help healthcare providers predict which patients could respond poorly to opioid medications.

Featured In: Drug Safety News


Breastfeeding Mothers May Have Lower Risk of Heart Attack and Stroke Later in Life

June 23, 2017 - According to new research published in the Journal of the American Heart Association, women who breastfed their babies could have a lower future risk of suffering a heart attack or stroke.

Featured In: Pharmaceutical News


FDA Approves Shire’s New ADHD Drug

June 23, 2017 - No stranger to the ADHD market, Shire has announced that their new drug Mydayis (mixed salts of a single-entity amphetamine product) had been approved by the FDA.

Featured In: Life Science News


LEAVE A COMMENT
 
  
THE XTALKS VITALS INDUSTRY BLOG

Top 5 Most Impactful Tweets in Drug Development During the Last Week

REGISTER FOR THESE WEBINARS

Serialized? Yes. But are Products Still Being Diverted?


Quantitative Protein Profiling in FFPE to Characterize Toxicities Associated with Immune Checkpoint Inhibitors


Are You Choosing the Right Model? A Guide to Selecting Your Next Immuno-Oncology Model


Imaging-based Subtypes of Pancreatic Cancer


Copyright © 2016-2017 Honeycomb Worldwide Inc.