The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.
The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.
Patent No.:
Date of Patent:
Dec. 20, 2016
Filed:
Sep. 23, 2014
The Regents of the University of Michigan, Ann Arbor, MI (US);
Kanishka T. Jayasundera, Ann Arbor, MI (US);
Gail Hohner, Ann Arbor, MI (US);
Jillian T. Huang, Ypsilanti, MI (US);
Naheed W. Khan, Brownstown, MI (US);
Matthew K. Johnson-Roberson, Chestnut Hill, MA (US);
Daniel L. Albertus, Ann Arbor, MI (US);
Ira Schachar, Ann Arbor, MI (US);
Sarwar Zahid, Jamaica, NY (US);
Amani Al-Tarouti, Ann Arbor, MI (US);
Christopher R. Ranella, Macomb, MI (US);
Zhao Huang, Ann Arbor, MI (US);
Andrew M. Lynch, Oak Lawn, IL (US);
Carla S. Kaspar, Davidson, MI (US);
Nathan T. Patel, Ann Arbor, MI (US);
Adnan Tahir, Ann Arbor, MI (US);
THE REGENTS OF THE UNIVERSITY OF MICHIGAN, Ann Arbor, MI (US);
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.