Patents by Inventor Mohamed Abazeed

Mohamed Abazeed 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).

  • Patent number: 11491350
    Abstract: For decision support in a medical therapy, machine learning provides a machine-learned generator for generating a prediction of outcome for therapy personalized to a patient. The outcome prediction may be used to determine dose. To assist in decision support, a regression analysis of the cohort used for machine training relates the outcome from the machine-learned generator to the dose and an actual control time (e.g., time-to-event). The dose that minimizes side effects while minimizing risk of failure to a time for any given patient is determined from the outcome for that patient and a calibration from the regression analysis.
    Type: Grant
    Filed: September 26, 2019
    Date of Patent: November 8, 2022
    Assignees: Siemens Healthcare GmbH, The Cleveland Clinic Foundation
    Inventors: Bin Lou, Ali Kamen, Nilesh Mistry, Lance Anthony Ladic, Mohamed Abazeed
  • Publication number: 20220275460
    Abstract: Disclosed are methods of predicting a radiotherapy success in a method of treating a lung cancer of a patient, the use of specific markers for predicting a radiotherapy success in a method of treating a lung cancer of a patient, a database comprising the markers, and a computer program product for use in such a method.
    Type: Application
    Filed: July 31, 2020
    Publication date: September 1, 2022
    Applicants: Siemens Healthcare GmbH, The Cleveland Clinic Foundation
    Inventors: Matthias SIEBERT, Carsten DIETRICH, Heike WEHNER, Jens-Christoph GEORGI, Mohamed ABAZEED, Andreas Emanuel POSCH, Andreas KAPPEL, Mark MATZAS
  • Publication number: 20200069973
    Abstract: For decision support in a medical therapy, machine learning provides a machine-learned generator for generating a prediction of outcome for therapy personalized to a patient. The outcome prediction may be used to determine dose. To assist in decision support, a regression analysis of the cohort used for machine training relates the outcome from the machine-learned generator to the dose and an actual control time (e.g., time-to-event). The dose that minimizes side effects while minimizing risk of failure to a time for any given patient is determined from the outcome for that patient and a calibration from the regression analysis.
    Type: Application
    Filed: September 26, 2019
    Publication date: March 5, 2020
    Inventors: Bin Lou, Ali Kamen, Nilesh Mistry, Lance Anthony Ladic, Mohamed Abazeed
  • Patent number: 10500278
    Abstract: A method of treating a subject who has been diagnosed with cancer is described. The method includes characterizing the radiation-susceptibility of the subject by detecting a mutation in an NRF2 pathway protein in suitable sample obtained from the subject and treating the subject with radiation therapy if the subject is characterized as being radiation-susceptible, or treating the subject with radiation therapy and a radiosensitizing agent if the subject is characterized as being radioresistant. A method of determining if a subject has a history of tobacco smoking is also described that includes analyzing an NRF2 pathway protein to determine if a mutation is present in suitable sample obtained from the subject and characterizing the subject as having a history of tobacco smoking if a genetic fingerprint consistent with tobacco exposure is identified.
    Type: Grant
    Filed: August 21, 2015
    Date of Patent: December 10, 2019
    Assignee: THE CLEVELAND CLINIC FOUNDATION
    Inventor: Mohamed Abazeed
  • Patent number: 10449199
    Abstract: The invention provides for the use of radiation sensitizing agents in combination with radiation for the treatment of neoplasia, methods for the identification of genotype-specific radiation sensitizing agents, and methods of identifying patients who could benefit from therapy with a genotype-specific radiation sensitizing agent.
    Type: Grant
    Filed: August 29, 2016
    Date of Patent: October 22, 2019
    Assignees: THE BROAD INSTITUTE, INC., THE BRIGHAM AND WOMEN'S HOSPITAL, INC., DANA-FARBER CANCER INSTITUTE, INC.
    Inventors: Mohamed Abazeed, Matthew Meyerson, Drew Adams
  • Patent number: 10391173
    Abstract: Provided herein are compositions, systems, kits, and methods for treating cancer in a subject with androgen receptor positive cancer cells by sensitizing such cancer cells with anti-androgen receptor therapy (e.g., Enzalutamide or anti-androgen antibody), and then treating with radiation therapy.
    Type: Grant
    Filed: April 21, 2017
    Date of Patent: August 27, 2019
    Assignee: THE CLEVELAND CLINIC FOUNDATION
    Inventor: Mohamed Abazeed
  • Publication number: 20170319692
    Abstract: Provided herein are compositions, systems, kits, and methods for treating cancer in a subject with androgen receptor positive cancer cells by sensitizing such cancer cells with anti-androgen receptor therapy (e.g., Enzalutamide or anti-androgen antibody), and then treating with radiation therapy.
    Type: Application
    Filed: April 21, 2017
    Publication date: November 9, 2017
    Inventor: Mohamed Abazeed
  • Publication number: 20160367561
    Abstract: The invention provides for the use of radiation sensitizing agents in combination with radiation for the treatment of neoplasia, methods for the identification of genotype-specific radiation sensitizing agents, and methods of identifying patients who could benefit from therapy with a genotype-specific radiation sensitizing agent.
    Type: Application
    Filed: August 29, 2016
    Publication date: December 22, 2016
    Applicants: THE BROAD INSTITUTE, INC., THE BRIGHAM AND WOMEN'S HOSPITAL, INC., DANA-FARBER CANCER INSTITUTE, INC.
    Inventors: MOHAMED ABAZEED, MATTHEW MEYERSON, DREW ADAMS
  • Patent number: 9439909
    Abstract: The invention provides for the use of radiation sensitizing agents in combination with radiation for the treatment of neoplasia, methods for the identification of genotype-specific radiation sensitizing agents, and methods of identifying patients who could benefit from therapy with a genotype-specific radiation sensitizing agent.
    Type: Grant
    Filed: August 22, 2014
    Date of Patent: September 13, 2016
    Assignees: The Broad Institute, Inc., Dana-Farher Cancer Institute, Inc., President and Fellows of Harvard College
    Inventors: Mohamed Abazeed, Matthew Meyerson, Drew Adams
  • Publication number: 20160053323
    Abstract: A method of treating a subject who has been diagnosed with cancer is described. The method includes characterizing the radiation-susceptibility of the subject by detecting a mutation in an NRF2 pathway protein in suitable sample obtained from the subject and treating the subject with radiation therapy if the subject is characterized as being radiation-susceptible, or treating the subject with radiation therapy and a radiosensitizing agent if the subject is characterized as being radioresistant. A method of determining if a subject has a history of tobacco smoking is also described that includes analyzing an NRF2 pathway protein to determine if a mutation is present in suitable sample obtained from the subject and characterizing the subject as having a history of tobacco smoking if a genetic fingerprint consistent with tobacco exposure is identified.
    Type: Application
    Filed: August 21, 2015
    Publication date: February 25, 2016
    Inventor: Mohamed Abazeed
  • Publication number: 20150057486
    Abstract: The invention provides for the use of radiation sensitizing agents in combination with radiation for the treatment of neoplasia, methods for the identification of genotype-specific radiation sensitizing agents, and methods of identifying patients who could benefit from therapy with a genotype-specific radiation sensitizing agent.
    Type: Application
    Filed: August 22, 2014
    Publication date: February 26, 2015
    Inventors: Mohamed Abazeed, Matthew Meyerson, Drew Adams