Dexcom, Inc.

Derek James Escobar

Apurv Ullas Kamath

Michael Robert Mensinger

Eli Reihman

Katherine Yerre Koehler

Hari Hampapuram

Rian W Draeger

Aarthi Mahalingam

Brian Christopher Smith

Naresh Chandra Bhavaraju

Phil Mayou

Esteban Cabrera, Jr

Andrew Attila Pal

Laura J Dunn

Jorge Valdes

Nicholas Polytaridis

Thomas Hall

Basab Dattaray

Michael Levozier Moore

Gary A Morris

Katherine Yerre Kohler

Jr Cabrera Esteban

Rian Draeger

Machine learning in an artificial pancreas is described. An artificial pancreas system may include a wearable glucose monitoring device, an insulin delivery system, and a computing device. Broadly speaking, the wearable glucose monitoring device provides glucose measurements of a person continuously. The artificial pancreas algorithm, which may be implemented at the computing device, determines doses of insulin to deliver to the person based on a variety of aspects for the purpose of maintaining the person's glucose within a target range, as indicated by those glucose measurements. The insulin delivery system then delivers those determined doses to the person. As the artificial pancreas algorithm determines insulin doses for the person over time and effectiveness of the insulin doses to maintain the person's glucose level in the target range is observed, an underlying model of the artificial pancreas algorithm may be updated to better determine insulin doses.

Machine learning in an artificial pancreas

Systems and methods for remote and host monitoring communication are disclosed. In some implementations, monitoring systems can comprise a host monitoring device associated with a Host communicatively coupled to one or more remote monitoring devices associated with Remote Monitors. The host monitoring device can send communications based at least in part on analyte measurements of a Host sensor and/or other contextual data giving such measurements context. Different remote monitoring devices can receive different communications based at least in part on the role of the respective Remote Monitors relative to the Host. These roles can be reflected in classifications of Remote Monitors.

Systems and methods for remote and host monitoring communications

Growing community of inventors

Escondido, CA, United States of America

Derek James Escobar