Patents by Inventor Glenn Clifford Forrester

Glenn Clifford Forrester 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).

  • Systems and methods for predicting analyte concentrations via machine learning techniques
    Patent number: 11989629
    Abstract: Various embodiments of an apparatus, methods, systems and computer program products described herein are directed to a Concentration Prediction Platform. According to various embodiments, the Concentration Prediction Platform receives an electrochemical signal and generates data based on deconvolving a respective contribution of an analyte(s) influencing the electrochemical signal. The Concentration Prediction Platform sends the data into one or more machine learning networks. The Concentration Prediction Platform receives, from the one or more machine learning networks, a predicted concentration of an analyte(s) influencing the electrochemical signal.
    Type: Grant
    Filed: June 22, 2021
    Date of Patent: May 21, 2024
    Assignee: Metre, Inc.
    Inventors: Nicole Leilani Ing, Glenn Clifford Forrester
  • SYSTEMS AND METHODS FOR PREDICTING ANALYTE CONCENTRATIONS VIA MACHINE LEARNING TECHNIQUES
    Publication number: 20220114485
    Abstract: Various embodiments of an apparatus, methods, systems and computer program products described herein are directed to a Concentration Prediction Platform. According to various embodiments, the Concentration Prediction Platform receives an electrochemical signal and generates data based on deconvolving a respective contribution of an analyte(s) influencing the electrochemical signal. The Concentration Prediction Platform sends the data into one or more machine learning networks. The Concentration Prediction Platform receives, from the one or more machine learning networks, a predicted concentration of an analyte(s) influencing the electrochemical signal.
    Type: Application
    Filed: June 22, 2021
    Publication date: April 14, 2022
    Inventors: Nicole Leilani Ing, Glenn Clifford Forrester
  • Systems and methods for predicting analyte concentrations via machine learning techniques
    Patent number: 11068803
    Abstract: Various embodiments of an apparatus, methods, systems and computer program products described herein are directed to a Concentration Prediction Platform. According to various embodiments, the Concentration Prediction Platform receives an electrochemical signal and generates data based on deconvolving a respective contribution of an analyte(s) influencing the electrochemical signal. The Concentration Prediction Platform sends the data into one or more machine learning networks. The Concentration Prediction Platform receives, from the one or more machine learning networks, a predicted concentration of an analyte(s) influencing the electrochemical signal.
    Type: Grant
    Filed: October 9, 2020
    Date of Patent: July 20, 2021
    Assignee: Metre, Inc.
    Inventors: Nicole Leilani Ing, Glenn Clifford Forrester