Patents by Inventor Benjamin W. Ehlert

Benjamin W. Ehlert 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).

  • Publication number: 20250090082
    Abstract: There is a need for more effective and efficient predictive data analysis, such as more effective and efficient data analysis solutions for performing predictive monitoring of the glucose-insulin endocrine metabolic regulatory system.
    Type: Application
    Filed: December 4, 2024
    Publication date: March 20, 2025
    Inventors: Steven Catani, Yinglong Guo, Benjamin W. Ehlert, Cody James Lensing, Stephen Rushton Garth, David R. Ferrell, Callahan Nordean Clark
  • Patent number: 12207950
    Abstract: There is a need for more effective and efficient predictive data analysis, such as more effective and efficient data analysis solutions for performing predictive monitoring of the glucose-insulin endocrine metabolic regulatory system. Certain embodiments utilize systems, methods, and computer program products that perform predictive data analysis by utilizing at least one of glucose surge excursion detections, steady-state glucose-insulin machine learning models, and parameter space refinement machine learning models.
    Type: Grant
    Filed: August 5, 2020
    Date of Patent: January 28, 2025
    Assignee: UnitedHealth Group Incorporated
    Inventors: Steven Catani, Yinglong Guo, Benjamin W. Ehlert, Cody James Lensing, Stephen Rushton Garth
  • Publication number: 20220039757
    Abstract: There is a need for more effective and efficient predictive data analysis, such as more effective and efficient data analysis solutions for performing predictive monitoring of the glucose-insulin endocrine metabolic regulatory system. Certain embodiments utilize systems, methods, and computer program products that perform predictive data analysis by utilizing at least one of glucose surge excursion detections, steady-state glucose-insulin machine learning models, and parameter space refinement machine learning models.
    Type: Application
    Filed: August 5, 2020
    Publication date: February 10, 2022
    Inventors: Steven Catani, Yinglong Guo, Benjamin W. Ehlert, Cody James Lensing, Stephen Rushton Garth
  • Publication number: 20210398641
    Abstract: Various embodiments of the present invention provide methods, apparatus, systems, computing devices, computing entities, and/or the like for predictive data analysis. Certain embodiments utilize systems, methods, and computer program products that perform predictive metabolic intervention by utilizing at least one of activity recommendation machine learning models and prediction window encoding machine learning models.
    Type: Application
    Filed: June 17, 2021
    Publication date: December 23, 2021
    Inventors: Steven Catani, Grant B. Weller, Benjamin W. Ehlert, Katlyn Ann Fleming