Projects

Intelligent Diabetes Management

Principal Investigator:
Russ Greiner

Problem we’re trying to solve

The current method of determining insulin dosages requires a patient to manually track their insulin levels multiple times a day, collect data over a certain period of time, present that data to a diabetologist, and have their dosage adjusted after weeks of using the wrong dose. This is delaying our ability to optimize treatment, depends on the patient’s commitment to tracking data, and requires a diabetologist to personally evaluate each case.

How will this help someone / an industry?

Machine learning is able to use patient data to adjust insulin levels in real time, making their treatment personalized, more accurate, and more affordable. It also increases the capacity for diabetologists to see more patients and help more people.

Partners

Alberta Diabetes Institute; top rated diabetologist from Alberta

Type of MI used

Reinforcement learning