Patents by Inventor Alex Taub Bacon

Alex Taub Bacon 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).

  • PREDICTIVE MONITORING OF THE GLUCOSE-INSULIN ENDOCRINE METABOLIC REGULATORY SYSTEM
    Publication number: 20220044808
    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: Rachel Lauren Jennings, Jonathan Michael Rolfs, Alex Taub Bacon
  • PREDICTIVE MONITORING OF THE GLUCOSE-INSULIN ENDOCRINE METABOLIC REGULATORY SYSTEM
    Publication number: 20220039758
    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: Rachel Lauren Jennings, Steven Catani, Cody James Lensing, Jonathan Michael Rolfs, Alex Taub Bacon
  • PREDICTIVE MONITORING OF THE GLUCOSE-INSULIN ENDOCRINE METABOLIC REGULATORY SYSTEM
    Publication number: 20220039759
    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: Rachel Lauren Jennings, Steven Catani, Cody James Lensing, Jonathan Michael Rolfs, Alex Taub Bacon