Bigfoot Biomedical Acquires Reinforcement Learning Algorithm for Insulin Titration Developed at McGill University

Bigfoot strengthens its technology portfolio, enhancing the company’s ability to deliver on its mission to reduce the burden of diabetes for people who require insulin

Excerpt from the Press Release:

MILPITAS, Calif.–(BUSINESS WIRE)–Bigfoot Biomedical (Bigfoot), a leader in developing intelligent connected injection support systems, today announced the acquisition of a reinforcement learning algorithm for the titration of insulin settings developed at McGill University. The algorithm is designed to observe how well people with insulin-requiring diabetes respond to a particular insulin dose, and provide a recommended adjustment based on their body’s response. It’s built to get smarter over time and to support healthcare professionals (HCPs) in improving diabetes care by helping their patients determine how much insulin to take and when.

McGill University conducted an in-silico retrospective study that applied the university’s algorithm to Bigfoot Unity user data from 20 patients to evaluate the algorithm’s ability to predict appropriate insulin dosing adjustments. Study results demonstrated the algorithm accurately predicted how the patient’s HCP adjusted their insulin dose.

“The retrospective study performed by the McGill University team demonstrates strong promise for the algorithm’s ability to help further simplify diabetes management,” said Jeffrey Brewer, CEO of Bigfoot Biomedical. “We look forward to the responsibility of taking the necessary next steps to bring their innovation to the diabetes community, including research and development to incorporate the algorithm into the Bigfoot Unity platform and collaborating with the FDA on the appropriate regulatory pathway.”

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