Patents by Inventor Markus Ringnér

Markus Ringnér 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).

  • METHODS FOR ANALYZING HIGH DIMENSIONAL DATA FOR CLASSIFYING, DIAGNOSING, PROGNOSTICATING, AND/OR PREDICTING DISEASES AND OTHER BIOLOGICAL STATES
    Publication number: 20120046878
    Abstract: A method of diagnosing, predicting, or prognosticating about a disease that includes obtaining experimental data, wherein the experimental data is high dimensional data, filtering the data, reducing the dimensionality of the data through use of one or more methods, training a supervised pattern recognition method, ranking individual data points from the data, wherein the ranking is dependent on the outcome of the supervised pattern recognition method, choosing multiple data points from the data, wherein the choice is based on the relative ranking of the individual data points, and using the multiple data points to determine if an unknown set of experimental data indicates a diseased condition, a predilection for a diseased condition, or a prognosis about a diseased condition.
    Type: Application
    Filed: October 31, 2011
    Publication date: February 23, 2012
    Applicants: SERVICES
    Inventors: JAVED KHAN, MARKUS RINGNÉR, CARSTEN PETERSON, PAUL MELTZER
  • Methods for analyzing high dimensional data for classifying, diagnosing, prognosticating, and/or predicting diseases and other biological states
    Patent number: 8065092
    Abstract: A method of diagnosing, predicting, or prognosticating about a disease that includes obtaining experimental data, wherein the experimental data is high dimensional data, filtering the data, reducing the dimensionality of the data through use of one or more methods, training a supervised pattern recognition method, ranking individual data points from the data, wherein the ranking is dependent on the outcome of the supervised pattern recognition method, choosing multiple data points from the data, wherein the choice is based on the relative ranking of the individual data points, and using the multiple data points to determine if an unknown set of experimental data indicates a diseased condition, a predilection for a diseased condition, or a prognosis about a diseased condition.
    Type: Grant
    Filed: August 18, 2010
    Date of Patent: November 22, 2011
    Assignee: The United States of America as represented by the Department of Health and Human Services
    Inventors: Javed Khan, Markus Ringnér, Carsten Peterson, Paul Meltzer
  • METHODS FOR ANALYZING HIGH DIMENSIONAL DATA FOR CLASSIFYING, DIAGNOSING, PROGNOSTICATING, AND/OR PREDICTING DISEASES AND OTHER BIOLOGICAL STATES
    Publication number: 20100312486
    Abstract: A method of diagnosing, predicting, or prognosticating about a disease that includes obtaining experimental data, wherein the experimental data is high dimensional data, filtering the data, reducing the dimensionality of the data through use of one or more methods, training a supervised pattern recognition method, ranking individual data points from the data, wherein the ranking is dependent on the outcome of the supervised pattern recognition method, choosing multiple data points from the data, wherein the choice is based on the relative ranking of the individual data points, and using the multiple data points to determine if an unknown set of experimental data indicates a diseased condition, a predilection for a diseased condition, or a prognosis about a diseased condition.
    Type: Application
    Filed: August 18, 2010
    Publication date: December 9, 2010
    Applicant: Government of the USA represented by the Secretary Dept. of Health and Human Services
    Inventors: Javed Khan, Markus Ringnér, Carsten Peterson, Paul Meltzer
  • Methods for analyzing high dimensional data for classifying, diagnosing, prognosticating, and/or predicting diseases and other biological states
    Patent number: 7774143
    Abstract: A method of diagnosing, predicting, or prognosticating about a disease that includes obtaining experimental data, wherein the experimental data is high dimensional data, filtering the data, reducing the dimensionality of the data through use of one or more methods, training a supervised pattern recognition method, ranking individual data points from the data, wherein the ranking is dependent on the outcome of the supervised pattern recognition method, choosing multiple data points from the data, wherein the choice is based on the relative ranking of the individual data points, and using the multiple data points to determine if an unknown set of experimental data indicates a diseased condition, a predilection for a diseased condition, or a prognosis about a diseased condition.
    Type: Grant
    Filed: April 25, 2002
    Date of Patent: August 10, 2010
    Assignee: The United States of America as represented by the Secretary, Department of Health and Human Services
    Inventors: Javed Khan, Markus Ringnér, Carsten Peterson, Paul Meltzer
  • Selections of genes and methods of using the same for diagnosis and for targeting the therapy of select cancers
    Patent number: 7655397
    Abstract: A method of diagnosing a disease that includes obtaining experimental data on gene selections. The gene selection functions to characterize a cancer when the expression of that gene selection is compared to the identical selection from a noncancerous cell or a different type of cancer cell. The invention also includes a method of targeting at least one product of a gene that includes administration of a therapeutic agent. The invention also includes the use of a gene selection for diagnosing a cancer.
    Type: Grant
    Filed: May 31, 2002
    Date of Patent: February 2, 2010
    Assignee: The United States of America as represented by the Department of Health and Human Services
    Inventors: Javed Khan, Markus Ringnér, Carsten Peterson, Paul Meltzer