Rong G Chen

US Patent:

20080161652, Jul 3, 2008

Filed:

Mar 23, 2007

Appl. No.:

11/690745

Inventors:

Steven J. Potts - San Diego CA, US
Beryl Crossley - Orange County CA, US
Rong X. Chen - Laguna Niguel CA, US
Kevin Z. Qu - Irvine CA, US
Richard A. Bender - Dana Point CA, US

International Classification:

A61B 5/00

US Classification:

600300

Abstract:

The present invention provides methods for the diagnosis of a disease or condition in an individual. The methods employ a primary self-organizing map trained with biological marker profiles from tissues having known diseases or conditions, in combination with a secondary self-organizing map which displays a representation of a subset of the primary self-organizing map with sample data obtained from an individual in need of diagnosis. A result is prepared from the secondary SOM(s) that reveals the extent of similarity between the known diseases or conditions with the sample data set of the individual. The result can be provided to a practitioner to aid in the diagnosis or prognosis of the individual. The result can additionally be used to select an individual for a clinical trial to evaluate a treatment.

US Patent:

20080221395, Sep 11, 2008

Filed:

Dec 28, 2006

Appl. No.:

11/617303

Inventors:

Steven J. Potts - San Diego CA, US
Beryl Crossley - Foothill Ranch CA, US
Rong Chen - Fremont CA, US
Kevin Z. Qu - Irvine CA, US
Richard A. Bender - Dana Point CA, US

International Classification:

A61B 5/00

US Classification:

600300

Abstract:

The present invention provides methods for the diagnosis of a disease or condition in an individual. The methods employ a primary self-organizing map trained with biological marker profiles from tissues having known diseases or conditions, in combination with a secondary self-organizing map which displays a representation of a subset of the primary self-organizing map with sample data obtained from an individual in need of diagnosis. A result is prepared from the secondary SOM(s) that reveals the extent of similarity between the known diseases or conditions with the sample data set of the individual. The result can be provided to a practitioner to aid in the diagnosis of the individual.