Diagnostic for lung disorders using class prediction

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United States of America Patent

PATENT NO 9920374
SERIAL NO

14613210

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ATTORNEY / AGENT: (SPONSORED)

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Abstract

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The present invention provides methods for diagnosis and prognosis of lung cancer using expression analysis of one or more groups of genes, and a combination of expression analysis with bronchoscopy. The methods of the invention provide far superior detection accuracy for lung cancer when compared to any other currently available method for lung cancer diagnostic or prognosis. The invention also provides methods of diagnosis and prognosis of other lung diseases, particularly in individuals who are exposed to air pollutants, such as cigarette or cigar smoke, smog, asbestos and the like air contaminants or pollutants.

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Patent Owner(s)

Patent OwnerAddress
MADRYN HEALTH PARTNERS LPC/O MADRYN ASSET MANAGEMENT LP 140 E 45TH STREET 15TH FLOOR SUITE B NEW YORK NY 10017

International Classification(s)

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  • 2015 Application Filing Year
  • C12Q Class
  • 3483 Applications Filed
  • 2244 Patents Issued To-Date
  • 64.43 % Issued To-Date
Click to zoom InYear of Issuance% of Matters IssuedCumulative IssuancesYearly Issuances201520162017201820192020202120222023202420250255075100

Inventor(s)

Inventor Name Address # of filed Patents Total Citations
Beane-Ebel, Jennifer E Fort Collins, US 10 43
Brody, Jerome S Boston, US 23 188
Lenburg, Marc E Berkeley, US 13 67
Spira, Avrum Newton, US 33 222

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Patent Citation Ranking

  • 3 Citation Count
  • C12Q Class
  • 57.71 % this patent is cited more than
  • 7 Age
Citation count rangeNumber of patents cited in rangeNumber of patents cited in various citation count ranges3285212917835231494333601 - 1011 - 2021 - 3031 - 4041 - 5051 - 6061 - 7071 - 8081 - 9091 - 100100 +020040060080010001200140016001800200022002400260028003000320034003600

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