Patents by Inventor Christopher Mark Gleason

Christopher Mark Gleason 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: 20210315601
    Abstract: The present invention provides enhanced ESWL efficacy for therapeutic and operational outcomes. Device behavior and performance data is measured in-situ and analyzed for both intra-procedure and inter-procedure breadth of regard such that both therapy optimization and maintenance optimization engines are provided an accurate and current assessment of ESWL system and device state and performance. This feedback and control provides the ability to compensate in real time for the current patient therapy and offline for future patient therapy for machine/therapy idiosyncrasies and realize continuous calibration of system/devices to the performance required for maximum ESWL patient efficacy.
    Type: Application
    Filed: October 28, 2020
    Publication date: October 14, 2021
    Applicant: TRANSLATIONAL TECHNOLOGIES, LLC
    Inventors: Andrew James Griffis, Christopher Mark Gleason
  • Patent number: 10820919
    Abstract: The present invention provides enhanced ESWL efficacy for therapeutic and operational outcomes. Device behavior and performance data is measured in-situ and analyzed for both intra-procedure and inter-procedure breadth of regard such that both therapy optimization and maintenance optimization engines are provided an accurate and current assessment of ESWL system and device state and performance. This feedback and control provides the ability to compensate in real time for the current patient therapy and offline for future patient therapy for machine/therapy idiosyncrasies and realize continuous calibration of system/devices to the performance required for maximum ESWL patient efficacy.
    Type: Grant
    Filed: December 18, 2017
    Date of Patent: November 3, 2020
    Assignee: TRANSLATIONAL TECHNOLOGIES, LLC
    Inventors: Andrew James Griffis, Christopher Mark Gleason
  • Publication number: 20180286514
    Abstract: A GUI driven computer implemented system prediction, comparison and selection of treatment modalities for surgical management of stone disease. A computer memory is configured to store regression weights for stone, patient, machine prediction variables for ESWL and URS for a percentile grouping calculation. A computer processer configured to compute a probability of success (Ps) and a probability of complications (Pc) for the ESWL and URS treatment modalities for the percentile grouping as a weighted combination of the regression weights and user input values for the prediction variables. The GUI includes a user selectable display space configured to display the stone, patient and machine prediction variables and receive and display user input of values for each prediction variable and a first results display space configured to display the computed Ps and Pc for each of ESWL and URS for the percentile grouping.
    Type: Application
    Filed: February 20, 2018
    Publication date: October 4, 2018
    Inventors: Ryan Geoffrey Nathaniel Seltzer, Christopher Mark Gleason, Blake Douglas Hamilton
  • Publication number: 20180193046
    Abstract: The present invention provides enhanced ESWL efficacy for therapeutic and operational outcomes. Device behavior and performance data is measured in-situ and analyzed for both intra-procedure and inter-procedure breadth of regard such that both therapy optimization and maintenance optimization engines are provided an accurate and current assessment of ESWL system and device state and performance. This feedback and control provides the ability to compensate in real time for the current patient therapy and offline for future patient therapy for machine/therapy idiosyncrasies and realize continuous calibration of system/devices to the performance required for maximum ESWL patient efficacy.
    Type: Application
    Filed: December 18, 2017
    Publication date: July 12, 2018
    Inventors: Andrew James Griffis, Christopher Mark Gleason