Patents by Inventor Gail Hohner

Gail Hohner 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 diagnosing inherited retinal diseases
    Patent number: 9524304
    Abstract: A method for automatically diagnosing inherited retinal disease includes receiving a plurality of dissimilar types of data and pre-processing at least one of the plurality of dissimilar types of data to generate a feature vector descriptive of a patient. Further, the method includes, for each of the plurality of dissimilar types of data: (i) comparing portions of the respective type of data or a corresponding feature vector to data in a mutation proven database; (ii) generating a ranked list of matches between the patient and the plurality of patients with known diagnoses; and (iii) storing the ranked list of matches in an output database. A diagnosis routine then aggregates a plurality of ranked lists of matches in the output database to generate a ranked list of genetic diagnoses corresponding to the patient and sends an indication of the ranked list of genetic diagnoses to the end user device.
    Type: Grant
    Filed: September 23, 2014
    Date of Patent: December 20, 2016
    Assignee: THE REGENTS OF THE UNIVERSITY OF MICHIGAN
    Inventors: Kanishka T. Jayasundera, Gail Hohner, Jillian T. Huang, Naheed W. Khan, Matthew K. Johnson-Roberson, Daniel L. Albertus, Ira Schachar, Sarwar Zahid, Amani Al-Tarouti, Christopher R. Ranella, Zhao Huang, Andrew M. Lynch, Carla S. Kaspar, Nathan T. Patel, Adnan Tahir
  • Systems and Methods for Diagnosing Inherited Retinal Diseases
    Publication number: 20150088870
    Abstract: A method for automatically diagnosing inherited retinal disease includes receiving a plurality of dissimilar types of data and pre-processing at least one of the plurality of dissimilar types of data to generate a feature vector descriptive of a patient. Further, the method includes, for each of the plurality of dissimilar types of data: (i) comparing portions of the respective type of data or a corresponding feature vector to data in a mutation proven database; (ii) generating a ranked list of matches between the patient and the plurality of patients with known diagnoses; and (iii) storing the ranked list of matches in an output database. A diagnosis routine then aggregates a plurality of ranked lists of matches in the output database to generate a ranked list of genetic diagnoses corresponding to the patient and sends an indication of the ranked list of genetic diagnoses to the end user device.
    Type: Application
    Filed: September 23, 2014
    Publication date: March 26, 2015
    Inventors: Kanishka T. Jayasundera, Gail Hohner, Jillian T. Huang, Naheed W. Khan, Matthew K. Johnson-Roberson, Daniel L. Albertus, Ira Schachar, Sarwar Zahid, Amani Al-Tarouti, Christopher R. Ranella, Zhao Huang, Andrew M. Lynch, Carla S. Kaspar, Nathan T. Patel, Adnan Tahir