Zhen Z Zhang

7113896, Sep 26, 2006

May 13, 2002

10/144455

Zhen Zhang - Dayton MD, US
Hong Zhang - Savannah GA, US

G06F 17/10

703 2, 705 7

A system and method for processing information in a data set that contains samples of at least two classes using an empirical risk minimization model, wherein each sample in the data set has an importance score. In one embodiment, the method includes the step of selecting samples of a first class being labeled with class label +1 and a second class with class label −1, from the data set, prescribing an empirical risk minimization model using the selected samples with an objective function and a plurality of constraints which adequately describes the solution of a classifier to separate the selected samples into the first class and the second class, modifying the empirical risk minimization model to include terms that individually limit the influence of each sample relative to its importance score in the solution of the empirical risk minimization model, and solving the modified empirical risk minimization model to obtain the corresponding classifier to separate the samples into the first class and the second class.

7605003, Oct 20, 2009

Aug 5, 2003

10/635308

Daniel W. Chan - Clarksville MD, US
Zhen Zhang - Dayton MD, US
Eric Fung - Mountain View CA, US
Xiao-Ying Meng - Fremont CA, US

The Johns Hopkins University - Baltimore MD
Vermillion, Inc. - Fremont CA

G01N 33/43
G01N 33/50
G01N 33/53
G01N 30/72

436178, 436 64, 436153, 436171, 436173, 436811, 436813, 436815, 436824, 436825, 435 4, 435 71, 435807, 435967, 435973

The present invention relates to a method of qualifying ovarian cancer status in a subject comprising: (a) measuring at least one biomarker in a sample from the subject and (b) correlating the measurement with ovarian cancer status. The invention further relates to kits for qualifying ovarian cancer status in a subject.

7951529, May 31, 2011

Sep 16, 2005

11/662830

Jinong Li - Ellicott City MD, US
Carolyn N. White - Baltimore MD, US
Zhen Zhang - Dayton MD, US
Daniel W. Chan - Clarksville MD, US
Eric T. Fung - Los Altos CA, US
Xiao-Ying Meng - Fremont CA, US

The Johns Hopkins University - Baltimore MD
Vermillion, Inc. - Austin TX

C12Q 1/00

435 4

The present invention provides protein-based biomarkers and biomarker combinations that are useful in qualifying breast cancer status in a patient. In particular, the biomarkers of this invention are useful to classify a subject sample as breast cancer or non-breast cancer. The biomarkers can be detected by SELDI mass spectrometry.

8440409, May 14, 2013

Sep 19, 2006

11/992000

Zhen Zhang - Dayton MD, US
Daniel W. Chan - Clarksville MD, US
Carolyn N. Rosenzwelg - Baltimore MD, US

The Johns Hopkins University - Baltimore MD

G01N 33/53
G01N 33/574

435 71, 435 723

The present invention provides a protein-based biomarker, Protein C Inhibitor (PCI) that is useful in qualifying prostate cancer status in a patient. In particular, the biomarker of this invention is useful to classify a subject sample as prostate cancer or non-prostate cancer. The biomarker can be detected by SELDI mass spectrometry.

20040153249, Aug 5, 2004

Aug 5, 2003

10/635241

Zhen Zhang - Dayton MD, US
Daniel Chan - Clarksville MD, US

The Johns Hopkins University - Baltimore MD

G06F015/18
G06F019/00
G01N033/48
G01N033/50

702/019000, 706/001000

The invention provides a method, system and software to screen for, identify and validate biomarkers that are predictive of a biological state, such as a cell state and/or patient status.

20050095611, May 5, 2005

Apr 30, 2004

10/836649

Daniel Chan - Clarksville MD, US
Zhen Zhang - Dayton MD, US
Jens Koopmann - Bochum, DE
Michael Goggins - Baltimore MD, US
C. White - Baltimore MD, US
Eric Fung - Mountain View CA, US
Xiao-Ying Meng - Fremont CA, US

C12Q001/68
G01N033/574

435006000, 435007230

The present invention relates to a method of qualifying pancreatic cancer status in a subject comprising: (a) measuring at least one of the disclosed biomarkers in a sample from the subject and (b) correlating the measurement with pancreatic cancer status. The invention further relates to kits for qualifying pancreatic cancer status in a subject.

20050170352, Aug 4, 2005

Mar 6, 2003

10/506725

Daniel Chan - Clarksville MD, US
Zhen Zhang - Dayton MD, US
Jinong Li - Ellicott City MD, US

Johns Hopkins University - Baltimore MD

C12Q001/68
G01N033/574

435006000, 435007230

The present invention relates to a method for identification of tmor biomarkers markers for breast cancer, with high specificity and sensitivity. Preferred methods of the invention include qualifying breast cancer status in a subject comprising: (a) measuring at least one of the disclosed biomarkers in a sample from the subject; and (b) correlating the measurement with breast cancer status. The invention further relates to kits for qualifying breast cancer status in a subject.

20050176011, Aug 11, 2005

Apr 25, 2003

10/512731

Daniel Chan - Clarksville MD, US
Jinong Li - Ellicott City MD, US
Zhen Zhang - Dayton MD, US

C12Q001/68
G01N033/574
G01N033/00

435006000, 435007230, 436086000

The present invention relates to a method of qualifying prostate cancer status in a subject comprising: (a) measuring at least one of the disclosed biomarkers in a sample from the subject and (b) correlating the measurement with prostate cancer status. The invention further relates to kits for qualifying prostate cancer status in a subject.