Patents by Inventor Shridar Ganesan

Shridar Ganesan 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).

  • MEASUREMENT OF ENDOGENOUS RETROVIRUS EXPRESSION TO GUIDE IMMUNOTHERAPY IN CANCER
    Publication number: 20200283858
    Abstract: Methods of detecting immunogenic endogenous retroviruses and treating cancer are disclosed herein. In some embodiments, the methods include detecting increased expression of endogenous retroviruses in a tumor sample.
    Type: Application
    Filed: March 6, 2020
    Publication date: September 10, 2020
    Applicants: Rutgers, The State University of New Jersey, Vanderbilt University
    Inventors: Shridar Ganesan, Gyan Bhanot, Anshuman Panda, W. Kimryn Rathmell, Aguirre Andres de Cubas
  • Image-based risk score—A prognostic predictor of survival and outcome from digital histopathology
    Patent number: 9002092
    Abstract: The present invention relates to an image-based computer-aided prognosis (CAP) system and method that seeks to replicate the prognostic power of molecular assays in histopathology and pathological processes, including but not limited to cancer. Using only a tissue slide samples, a mechanism for digital slide scanning, and a computer, the present invention relates to an image-based CAP system and method which aims to overcome many of the drawbacks associated with prognostic molecular assays (e.g. Oncotype DX) including the high cost associated with the assay, limited laboratory facilities with specialized equipment, and length of time between biopsy and prognostic prediction.
    Type: Grant
    Filed: February 2, 2010
    Date of Patent: April 7, 2015
    Assignee: Rutgers, The State University Of New Jersey
    Inventors: Anant Madabhushi, Ajay Basavanhally, Shridar Ganesan
  • IMAGE-BASED RISK SCORE-A PROGNOSTIC PREDICTOR OF SURVIVAL AND OUTCOME FROM DIGITAL HISTOPATHOLOGY
    Publication number: 20120106821
    Abstract: The present invention relates to an image-based computer-aided prognosis (CAP) system and method that seeks to replicate the prognostic power of molecular assays in histopathology and pathological processes, including but not limited to cancer. Using only a tissue slide samples, a mechanism for digital slide scanning, and a computer, the present invention relates to an image-based CAP system and method which aims to overcome many of the drawbacks associated with prognostic molecular assays (e.g. Oncotype DX) including the high cost associated with the assay, limited laboratory facilities with specialized equipment, and length of time between biopsy and prognostic prediction.
    Type: Application
    Filed: February 2, 2010
    Publication date: May 3, 2012
    Applicants: The University of Medicine and Dentistry of New Je, Rutgers, The State University of New Jersey
    Inventors: Anant Madabhushi, Ajay Basavanhally, Shridar Ganesan