US Patent Issued to MEDTRONIC MINIMED on May 12 for "Machine learning models for detecting outliers and erroneous sensor use conditions and correcting, blanking, or terminating glucose sensors" (California, Illinois Inventors)

ALEXANDRIA, Va., May 12 -- United States Patent no. 12,626,819, issued on May 12, was assigned to MEDTRONIC MINIMED INC. (Northridge, Canada).

"Machine learning models for detecting outliers and erroneous sensor use conditions and correcting, blanking, or terminating glucose sensors" was invented by Elaine Gee (Windsor, Calif.), Jeffrey Nishida (Chicago), Peter Ajemba (Canyon Country, Calif.), Keith Nogueira (Mission Hills, Calif.) and Andrea Varsavsky (Santa Monica, Calif.).

According to the abstract* released by the U.S. Patent & Trademark Office: "Techniques for improving continuous glucose monitoring ("CGM") are described herein. In some embodiments, the techniques involve obtaining sensor data; applying, to the sensor data, a machine...