Artificial Intelligence, Big Data to Improve Diabetes Management

Type I diabetes is a chronic condition in which the pancreas produces little or no insulin, causing those suffering from the disease to endure lifelong insulin therapy. These individuals have to dedicate time every day to tracking blood sugar levels and administer insulin by means of injections or a pump. Even though the pump automatically secretes insulin, it still needs to be programmed every time a person eats with carbohydrate amounts and current blood glucose levels. It also requires a twice-daily calibration with a finger-stick blood glucose measurement. Most people have to go through the finger stick test at least twice per day, and are continuously having to monitor their insulin levels.


In an effort to improve the quality of life of Diabetes patients, researchers from Rensselaer Polytechnic Institute are using big data and artificial intelligence to evaluate information from thousands of continuous glucose monitors and build models that better predict the impact of meals and insulin on glucose levels. The researchers will than use the data to improve algorithms that control these devices.


Further, the study will reveal the rate of irregularities that occur with such glucose monitoring devices. This is necessary for understanding how to improve the processes and can further break down the data by categories including age group, type of population, or type of sensor. By identifying inconsistencies based on category, the researchers can further improve the algorithm to provide more personalized control of the disease.


This project is only one example of how artificial intelligence has been beneficial in managing diabetes. AI has proven to improve diabetes management through AI-backed mobile health tools and advance diabetes detection through wearables integrated with AI.  According to Deepak Vashishth, director of the Center for Biotechnology and Interdisciplinary Studies (CBIS) at Rensselaer, “Data-driven decision, combined with technology, help improve quality of life and reduce co-morbidities associated with diabetes.” This research project will further the use of AI in diabetes management and is a prime example of the progress being made throughout the healthcare industry.


To learn about the Rensselaer project, read the article at the following link:


Source: healthitanalytics


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