Patents by Inventor SHIKHAR UTTAM FNU

SHIKHAR UTTAM FNU 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).

  • PREDICTING CANCER RECURRENCE FROM SPATIAL MULTI-PARAMETER CELLULAR AND SUBCELLULAR IMAGING DATA
    Publication number: 20240062564
    Abstract: A method of predicting cancer recurrence risk for an individual includes receiving patient spatial multi-parameter cellular and sub-cellular imaging data for a tumor of the individual, and analyzing the patient spatial multi-parameter cellular and sub-cellular imaging data using a prognostic model for predicting cancer recurrence risk to determine a predicted cancer recurrence risk for the individual, wherein the joint prognostic model is based on spatial correlation statistics among features derived for a plurality of intra-tumor spatial domains from spatial multi-parameter cellular and sub-cellular imaging data obtained from a plurality of cancer patients.
    Type: Application
    Filed: October 24, 2023
    Publication date: February 22, 2024
    Applicant: UNIVERSITY OF PITTSBURGH-OF THE COMMONWEALTH SYSTEM OF HIGHER EDUCATION
    Inventors: SRINIVAS C. CHENNUBHOTLA, DOUGLASS L. TAYLOR, SHIKHAR UTTAM FNU
  • Predicting cancer recurrence from spatial multi-parameter cellular and subcellular imaging data
    Patent number: 11836998
    Abstract: A method of predicting cancer recurrence risk for an individual includes receiving patient spatial multi-parameter cellular and sub-cellular imaging data for a tumor of the individual, and analyzing the patient spatial multi-parameter cellular and sub-cellular imaging data using a prognostic model for predicting cancer recurrence risk to determine a predicted cancer recurrence risk for the individual, wherein the joint prognostic model is based on spatial correlation statistics among features derived for a plurality of intra-tumor spatial domains from spatial multi-parameter cellular and sub-cellular imaging data obtained from a plurality of cancer patients.
    Type: Grant
    Filed: May 23, 2019
    Date of Patent: December 5, 2023
    Assignee: University of Pittsburgh—Of the Commonwealth System of Higher Education
    Inventors: Srinivas C. Chennubhotla, Douglass L. Taylor, Shikhar Uttam Fnu
  • PREDICTING CANCER RECURRENCE FROM SPATIAL MULTI-PARAMETER CELLULAR AND SUBCELLULAR IMAGING DATA
    Publication number: 20210233659
    Abstract: A method of predicting cancer recurrence risk for an individual includes receiving patient spatial multi-parameter cellular and sub-cellular imaging data for a tumor of the individual, and analyzing the patient spatial multi-parameter cellular and sub-cellular imaging data using a prognostic model for predicting cancer recurrence risk to determine a predicted cancer recurrence risk for the individual, wherein the joint prognostic model is based on spatial correlation statistics among features derived for a plurality of intra-tumor spatial domains from spatial multi-parameter cellular and sub-cellular imaging data obtained from a plurality of cancer patients.
    Type: Application
    Filed: May 23, 2019
    Publication date: July 29, 2021
    Applicant: UNIVERSITY OF PITTSBURGH-OF THE COMMONWEALTH SYSTEM OF HIGHER EDUCATION
    Inventors: SRINIVAS C. CHENNUBHOTLA, DOUGLASS L. TAYLOR, SHIKHAR UTTAM FNU