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A Diabetes-Free Society

Cindy Marling, PhD

Cindy Marling

Cindy Marling, PhD
Associate Professor, Computer Science
Russ College

Cindy Marling, Associate Professor of Computer Science leads the project "Machine Learning Models for Blood Glucose Prediction in Diabetes Management" which aims to use artificial intelligence to predict blood glucose levels. 

Collaboration among disciplines is the key for this type of research. Dr. Marling is joined with colleagues Assistant Professor of Computer Science Razvan Bunescu, Professor of Endocrinology Frank Schwartz and Associate Professor of Family Medicine Jay Shubrook for this project.

The interdisciplinary team of biomedical engineering researchers from Ohio University's Fritz J. and Dolores H. Russ College of Engineering and Technology and Heritage College of Osteopathic Medicine received a $350,000 grant from the National Science Foundation (NSF) for their work on predicting blood glucose levels for Type 1 diabetes patients.

The researchers have been performing extensive research with patients since 2004, thanks to three internally funded studies, gathering data and testing artificial intelligence software for diabetes management. 

For more information on Dr. Marling and her research, click HERE.

Cindy Marling in the news:
Ohio University computer science and medical faculty pioneer new blood glucose prediction processes
Artificial Intelligence and Diabetes Care
AI for Diabetes Support

Family Medicine Faculty Positions
Diabetes Registry