Patents by Inventor Steven Alan Enkemann

Steven Alan Enkemann has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Genotypic tumor progression classifier and predictor
    Patent number: 9037416
    Abstract: Actively dividing tumors appear to progress to a life threatening condition more rapidly than slowly dividing tumors. Assessing actively dividing tumors currently involves a manual assessment of the number of mitotic cells in a histological slide prepared from the tumor and assessed by a trained pathologist. Disclosed is a method for using cumulative information from a series of expressed genes to determine tumor prognosis. This cumulative information can be used to categorize tumor samples into high mitotic states or low mitotic states using a mathematical algorithm and gene expression data derived from microarrays or quantitative-Polymerase Chain Reaction (Q-PCR) data. The specific mathematical description outlines how the algorithm assesses the most informative subset of genes from the full list of genes during the assessment of each sample.
    Type: Grant
    Filed: March 22, 2010
    Date of Patent: May 19, 2015
    Assignees: University of South Florida, H. Lee Moffitt Cancer Center and Research Institute, Inc.
    Inventors: Timothy Yeatman, Steven Alan Enkemann, Steven Eschrich
  • GENOTYPIC TUMOR PROGRESSION CLASSIFIER AND PREDICTOR
    Publication number: 20100240540
    Abstract: Actively dividing tumors appear to progress to a life threatening condition more rapidly than slowly dividing tumors. Assessing actively dividing tumors currently involves a manual assessment of the number of mitotic cells in a histological slide prepared from the tumor and assessed by a trained pathologist. Disclosed is a method for using cumulative information from a series of expressed genes to determine tumor prognosis. This cumulative information can be used to categorize tumor samples into high mitotic states or low mitotic states using a mathematical algorithm and gene expression data derived from microarrays or quantitative-Polymerase Chain Reaction (Q-PCR) data. The specific mathematical description outlines how the algorithm assesses the most informative subset of genes from the full list of genes during the assessment of each sample.
    Type: Application
    Filed: March 22, 2010
    Publication date: September 23, 2010
    Applicants: H. Lee Moffitt Cancer Center and Research Institute, Inc., University of South Florida
    Inventors: Timothy Yeatman, Steven Alan Enkemann, Steven Eschrich
  • Melanoma gene signature
    Patent number: 7615349
    Abstract: Methods and compositions for evaluating gene expression in melanoma samples are provided herein.
    Type: Grant
    Filed: September 7, 2007
    Date of Patent: November 10, 2009
    Assignees: H. Lee Moffitt Cancer Center and Research Institute, Inc., University of South Florida
    Inventors: Adam I. Riker, Steven Alan Enkemann
  • Melanoma Gene Signature
    Publication number: 20080113360
    Abstract: Methods and compositions for evaluating gene expression in melanoma samples are provided herein.
    Type: Application
    Filed: September 7, 2007
    Publication date: May 15, 2008
    Inventors: Adam I. Riker, Steven Alan Enkemann