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.

Date of Patent:
Dec. 06, 2022

Filed:

Mar. 18, 2016
Applicant:

London Health Sciences Centre Research Inc., London, CA;

Inventors:

Douglas Dale Fraser, London, CA;

Robert Bartha, London, CA;

Arthur Brown, London, CA;

Tanya Charyk Stewart, London, CA;

Mark Daley, London, CA;

Gregory A. Dekaban, London, CA;

Timothy Doherty, London, CA;

Lisa Fischer, London, CA;

Jeffrey Holmes, London, CA;

Ravi Menon, London, CA;

J. Kevin Shoemaker, London, CA;

Charles A. Rupar, London, CA;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G01N 33/487 (2006.01); G16B 40/00 (2019.01); G01N 33/483 (2006.01); G01N 33/68 (2006.01); G16C 20/70 (2019.01); G01N 24/08 (2006.01); G16B 40/20 (2019.01); G16B 40/30 (2019.01); G16B 40/10 (2019.01);
U.S. Cl.
CPC ...
G01N 33/487 (2013.01); G01N 33/483 (2013.01); G01N 33/6896 (2013.01); G16B 40/00 (2019.02); G16C 20/70 (2019.02); G01N 24/08 (2013.01); G01N 2570/00 (2013.01); G01N 2800/28 (2013.01); G01N 2800/2871 (2013.01); G16B 40/10 (2019.02); G16B 40/20 (2019.02); G16B 40/30 (2019.02);
Abstract

A method of diagnosing central nervous system injuries such as acquired brain injury (ABI) and/or acquired spinal cord injury (ASI), including mild TBI (concussion or blast wave), mild ASI (contusion, stretch or partial cord transection), non-TBI brain injury and/or non-TSI spinal cord injury in a subject (animal or human). The method includes (a) obtaining a biological test sample from the subject, identifying metabolites in the subject's sample using metabolomics thereby obtaining a subject's metabolite matrix and generating a subject's profile using the patient's metabolite matrix; and (b) using multivariate statistical analysis and machine learning to compare the subject's profile with predetermined set of profiles of CNS injuries and a predetermined set of profiles of controls to determine if the subject has a CNS injury.


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