Patents by Inventor William M. O'Keeffe

William M. O'Keeffe 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).

  • Adaptive machine learning system for image-based biological sample constituent analysis
    Patent number: 11715204
    Abstract: Systems and methods for image-based biological sample constituent analysis are disclosed. For example, image data corresponding to an image having a target constituent and other constituents may be generated and utilized for analysis. The systems and processes described herein may be utilized to differentiate between portions of image data corresponding to the target constituent and other portions that do not correspond to the target constituent. Analysis of the target constituent instances may be performed to provide analytical results.
    Type: Grant
    Filed: May 2, 2022
    Date of Patent: August 1, 2023
    Assignee: Rewire Neuro, Inc.
    Inventors: John Hoehn Harkness, Grant W. Wade, William M. O'Keeffe, Robert Pascal Harkness, Colton V. King, Kristy Jo Lawton
  • ADAPTIVE MACHINE LEARNING SYSTEM FOR IMAGE-BASED BIOLOGICAL SAMPLE CONSTITUENT ANALYSIS
    Publication number: 20220261998
    Abstract: Systems and methods for image-based biological sample constituent analysis are disclosed. For example, image data corresponding to an image having a target constituent and other constituents may be generated and utilized for analysis. The systems and processes described herein may be utilized to differentiate between portions of image data corresponding to the target constituent and other portions that do not correspond to the target constituent. Analysis of the target constituent instances may be performed to provide analytical results.
    Type: Application
    Filed: May 2, 2022
    Publication date: August 18, 2022
    Inventors: John Hoehn Harkness, Ph.D., Grant W. Wade, William M. O'Keeffe, Robert Pascal Harkness, Colton V. King, Kristy Jo Lawton
  • Adaptive machine learning system for image based biological sample constituent analysis
    Patent number: 11321843
    Abstract: Systems and methods for image-based biological sample constituent analysis are disclosed. For example, image data corresponding to an image having a target constituent and other constituents may be generated and utilized for analysis. The systems and processes described herein may be utilized to differentiate between portions of image data corresponding to the target constituent and other portions that do not correspond to the target constituent. Analysis of the target constituent instances may be performed to provide analytical results.
    Type: Grant
    Filed: December 29, 2020
    Date of Patent: May 3, 2022
    Assignee: Rewire Neuro, Inc.
    Inventors: John Hoehn Harkness, Grant W. Wade, William M. O'Keeffe, Robert Pascal Harkness, Colton V. King, Kristy Jo Lawton