Health Discovery Corp (HDVY)

[kk9662]

PATENT ADDED
http://www.ag-ip-news.com/GetArticle.asp?Art_ID=8067&lang=en

AGIPNEWS8067
28/2/2010 11:57 GMT
ag-IP-news
HDC Receives Notice of Issuance from the USPTO


SAVANNAH, GA - Health Discovery Corporation (HDC) announced in a press release that it has received notification from the US Patent and Trademark Office (USPTO) that its application entitled "Kernels and Kernel Methods for Spectral Data," will issue as Patent No. 7,676,442 on March 9, 2010.

This new patent covers the use of SVMs in conjunction with a proprietary pre-processing technique to greatly improve analysis of data obtained using mass spectrometry. Mass spectrometry is widely used for chemical and biological testing and is particularly applicable to protein analysis for biomarker discovery.

Protein mass spectrometry data combined with SVMs was used by Vermillion Inc. (Other OTCBB: VRMLQ.PK) in discovery of the genes in its OVA1 ovarian cancer test, which is expected to be brought to market by Quest Diagnostics, Incorporated (NYSE: DGX) in March 2010.

A continuation application based on this new patent has been filed to expand Health Discovery Corporation's coverage of the use of SVMs for analysis of many other types of spectral data. Analysis of spectral data is required in virtually any technology in which a signal is detected, including communications, optics, intelligence, aerospace, defense, regulatory monitoring, including food and water safety testing, medical diagnostics, and consumer electronics.

With the issuance of the new patent described above, HDC now holds exclusive rights to a total of 42 issued U.S. and foreign patents and 32 pending patents. HDC has a total of 74 patents pending and issued. Importantly, the earliest expiration of any of the HDC patents is May 2019, with most of the patents having terms that will provide additional protection of 5 or more years beyond that date.

Health Discovery Corporation is a molecular diagnostics company that uses advanced mathematical techniques to analyze large amounts of data to uncover patterns that might otherwise be undetectable.