Patents by Inventor Jennifer Lena SCHNEIDER

Jennifer Lena SCHNEIDER has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Patent number: 11883632
    Abstract: Disclosed are a system, methods and computer-readable medium products that provide safety constraints for an insulin-delivery management program. Various examples provide safety constraints for a control algorithm-based drug delivery system that provides automatic delivery of a drug based on sensor input. Glucose measurement values may be received at regular time intervals from a sensor. A processor may predict future glucose values based on prior glucose measurement values. The safety constraints assist in safe operation of the drug delivery system during various operational scenarios. In some examples, predicted future glucose values may be used to implement safety constraints that mitigate under-delivery or over-delivery of the drug while not overly burdening the user of the drug delivery system and without sacrificing performance of the drug delivery system. Other safety constraints are also disclosed.
    Type: Grant
    Filed: January 25, 2023
    Date of Patent: January 30, 2024
    Assignee: INSULET CORPORATION
    Inventors: Jason O'Connor, Joon Bok Lee, Trang Ly, Yibin Zheng, Thomas Arnold Peyser, Jennifer Lena Schneider
  • Publication number: 20230181824
    Abstract: Disclosed are a system, methods and computer-readable medium products that provide safety constraints for an insulin-delivery management program. Various examples provide safety constraints for a control algorithm-based drug delivery system that provides automatic delivery of a drug based on sensor input. Glucose measurement values may be received at regular time intervals from a sensor. A processor may predict future glucose values based on prior glucose measurement values. The safety constraints assist in safe operation of the drug delivery system during various operational scenarios. In some examples, predicted future glucose values may be used to implement safety constraints that mitigate under-delivery or over-delivery of the drug while not overly burdening the user of the drug delivery system and without sacrificing performance of the drug delivery system. Other safety constraints are also disclosed.
    Type: Application
    Filed: January 25, 2023
    Publication date: June 15, 2023
    Inventors: Jason O'CONNOR, Joon Bok LEE, Trang LY, Yibin ZHENG, Thomas Arnold PEYSER, Jennifer Lena SCHNEIDER
  • Patent number: 11565043
    Abstract: Disclosed are a system, methods and computer-readable medium products that provide safety constraints for an insulin-delivery management program. Various examples provide safety constraints for a control algorithm-based drug delivery system that provides automatic delivery of a drug based on sensor input. Glucose measurement values may be received at regular time intervals from a sensor. A processor may predict future glucose values based on prior glucose measurement values. The safety constraints assist in safe operation of the drug delivery system during various operational scenarios. In some examples, predicted future glucose values may be used to implement safety constraints that mitigate under-delivery or over-delivery of the drug while not overly burdening the user of the drug delivery system and without sacrificing performance of the drug delivery system. Other safety constraints are also disclosed.
    Type: Grant
    Filed: May 3, 2019
    Date of Patent: January 31, 2023
    Assignee: Insulet Corporation
    Inventors: Jason O'Connor, Joon Bok Lee, Trang Ly, Yibin Zheng, Thomas Arnold Peyser, Jennifer Lena Schneider
  • Publication number: 20190336684
    Abstract: Disclosed are a system, methods and computer-readable medium products that provide safety constraints for an insulin-delivery management program. Various examples provide safety constraints for a control algorithm-based drug delivery system that provides automatic delivery of a drug based on sensor input. Glucose measurement values may be received at regular time intervals from a sensor. A processor may predict future glucose values based on prior glucose measurement values. The safety constraints assist in safe operation of the drug delivery system during various operational scenarios. In some examples, predicted future glucose values may be used to implement safety constraints that mitigate under-delivery or over-delivery of the drug while not overly burdening the user of the drug delivery system and without sacrificing performance of the drug delivery system. Other safety constraints are also disclosed.
    Type: Application
    Filed: May 6, 2019
    Publication date: November 7, 2019
    Applicant: Insulet Corporation
    Inventors: Jason O'CONNOR, Joon Bok LEE, Trang LY, Yibin ZHENG, Thomas Arnold PEYSER, Jennifer Lena SCHNEIDER
  • Publication number: 20190336683
    Abstract: Disclosed are a system, methods and computer-readable medium products that provide safety constraints for an insulin-delivery management program. Various examples provide safety constraints for a control algorithm-based drug delivery system that provides automatic delivery of a drug based on sensor input. Glucose measurement values may be received at regular time intervals from a sensor. A processor may predict future glucose values based on prior glucose measurement values. The safety constraints assist in safe operation of the drug delivery system during various operational scenarios. In some examples, predicted future glucose values may be used to implement safety constraints that mitigate under-delivery or over-delivery of the drug while not overly burdening the user of the drug delivery system and without sacrificing performance of the drug delivery system. Other safety constraints are also disclosed.
    Type: Application
    Filed: May 3, 2019
    Publication date: November 7, 2019
    Applicant: Insulet Corporation
    Inventors: Jason O'CONNOR, Joon Bok LEE, Trang LY, Yibin ZHENG, Thomas Arnold PEYSER, Jennifer Lena SCHNEIDER