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:
Sep. 19, 2017

Filed:

May. 29, 2015
Applicant:

Case Western Reserve University, Cleveland, OH (US);

Inventors:

Cameron McIntyre, Cleveland Heights, OH (US);

Reuben R. SHamir, Cleveland, OH (US);

Benjamin L. Walter, Cleveland, OH (US);

Assignee:

Case Western Reserve University, Cleveland, OH (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
A61N 1/00 (2006.01); A61N 1/36 (2006.01); G06F 19/00 (2011.01); A61N 1/05 (2006.01);
U.S. Cl.
CPC ...
A61N 1/36067 (2013.01); G06F 19/345 (2013.01); A61N 1/0534 (2013.01); A61N 1/36064 (2013.01); A61N 1/36096 (2013.01); G06F 19/3443 (2013.01);
Abstract

Example apparatus and methods concern a next generation clinical decision support system (ngCDSS) for the management of neurological conditions (e.g., advanced Parkinson's disease (PD)). Conventional coupled adjustment of pharmacologic therapy and stimulation parameter settings is a time-consuming process that sometimes yields sub-optimal outcomes. Example ngCDSS use a machine learning trained function that relates deep brain stimulation (DBS) parameters, medication dosages, and patient-specific pre and post operative clinical data with actual treatment outcomes for a population of previously treated patients. Example ngCDSS incorporate image-based patient-specific computer models of the estimated stimulation volume of tissue stimulated by DBS in a multi-linear regression analysis to produce a predictor function that is highly correlated with actual outcomes. Example ngCDSS facilitate predicting the outcomes of a combined pharmacologic-DBS therapy, which in turn facilitate optimizing patient-specific treatment for improved benefits with minimal adverse effects.


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