Daehee Hwang from 4525 164Th St, Lynnwood, WA 98037, age 51, Phone: 4257456831

Resumes

Daehee Hwang

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Us Patents

Identification Of Dysregulated Genes In Patients With Multiple Sclerosis
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US Patent:

20040018522, Jan 29, 2004
Filed:

May 6, 2003
Appl. No.:

10/430762
Inventors:

Fernando Dangond - Newton MA, US
Daehee Hwang - Seattle WA, US
Assignee:

Brigham and Women's Hospital, Inc.
International Classification:

C12Q001/68
G06F019/00
G01N033/48
G01N033/50
US Classification:

435/006000, 702/020000
Abstract:

The present invention identifies a number of gene markers whose expression is altered in multiple sclerosis (MS). These markers can be used to diagnose or predict MS in subjects, and can be used in the monitoring of therapies. In addition, these genes identify therapeutic targets, the modification of which may prevent MS development or progression.

Treatment Of Patients With Multiple Sclerosis Based On Gene Expression Changes In Central Nervous System Tissues
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US Patent:

20040156826, Aug 12, 2004
Filed:

Sep 25, 2003
Appl. No.:

10/670766
Inventors:

Fernando Dangond - Newton MA, US
Daehee Hwang - Seattle WA, US
Steven Gullans - Natick MA, US
International Classification:

A61K048/00
A61K038/21
US Classification:

424/093200, 514/012000, 424/085600
Abstract:

The present invention identifies a number of gene markers whose expression is altered in multiple sclerosis (MS). These markers can be used to diagnose or predict MS in subjects, and can be used in the monitoring of therapies. In addition, these genes identify therapeutic targets, the modification of which may prevent MS development or progression.

Defining Biological States And Related Genes, Proteins And Patterns
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US Patent:

20020169562, Nov 14, 2002
Filed:

Jan 29, 2002
Appl. No.:

10/060048
Inventors:

Gregory Stephanopoulos - Chester MA, US
Jatin Misra - Cambridge MA, US
Daehee Hwang - Cambridge MA, US
William Schmitt - Boston MA, US
Ilias Alevizos - Watertown MA, US
Saliya Silva - Kandy, LK
Ryan Gill - Boulde CO, US
International Classification:

G01N033/48
C12Q001/68
C07K001/00
C07H021/00
US Classification:

702/019000, 435/006000, 536/023100, 530/350000
Abstract:

Disclosed are a variety of methods and computer systems for use in the analysis of gene and protein expression data. Also disclosed are methods for the definition of the cellular state of cells and tissues from multidimensional physiological data such as those obtained from gene expression measurements with DNA microarrays. A variety of classification methods can be applied to expression data to achieve this goal. Demonstrated is the application of several statistical tools including Wilks' lambda ratio of within-group to total variance, Fisher Discriminant Analysis, and the misclassification error rate to the identification of discriminating genes and the overall classification of expression data. Examples from several different cases demonstrate the ability of the method to produce well-separated groups in the projection space representing distinct physiological states. The method can be augmented and is useful in disease diagnosis, drug screening and bioprocessing applications.