Patents by Inventor Michal MARK-DANIELI

Michal MARK-DANIELI 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: 11828740
    Abstract: A diagnosis system and method for detecting various Volatile Organic Compounds (VOCs) in a biological sample by utilizing a smart platform configured to harness animal bio-sensors trained to detect various VOC's which may indicate various pathologies, and by conducting various data collection practices and analysis methods in order to produce output results. The diagnosis system and method is configured to analyze behavioral parameters concerning the animal bio-sensor and provide a non-invasive and safe diagnostic solution that does not involve exposing a patient to radiation or any other potentially harmful procedure.
    Type: Grant
    Filed: May 13, 2022
    Date of Patent: November 28, 2023
    Assignee: EARLY O.M. LTD.
    Inventors: Michal Mark Danieli, Oron Snir
  • Publication number: 20230062575
    Abstract: A diagnosis system and method for detecting various Volatile Organic Compounds (VOCs) in a biological sample by utilizing a smart platform configured to harness animal bio-sensors trained to detect various VOC's which may indicate various pathologies, and by conducting various data collection practices and analysis methods in order to produce output results. The diagnosis system and method is configured to analyze behavioral parameters concerning the animal bio-sensor and provide a non-invasive and safe diagnostic solution that does not involve exposing a patient to radiation or any other potentially harmful procedure.
    Type: Application
    Filed: May 13, 2022
    Publication date: March 2, 2023
    Inventors: Michal MARK DANIELI, Oron SNIR
  • Patent number: 10465004
    Abstract: The invention provides antibodies or an antigen-binding portion thereof, which recognize the human Frizzled 7 receptor. Further, the invention provides methods of using these antibodies for the treatment cancer in a subject.
    Type: Grant
    Filed: January 1, 2015
    Date of Patent: November 5, 2019
    Assignees: Tel HaShomer Medical Research Infrastructure and Services Ltd., Ramot at Tel-Aviv University Ltd.
    Inventors: Benjamin Dekel, Naomi Pode-Shakked, Orit Harai-Steinberg, Michal Mark-Danieli, Einav Vax
  • Publication number: 20160345539
    Abstract: A method for training an animal to detect a condition, such as cancer, in a human or animal individual. A training sample is presented to the animal to be trained where, the training sample is a gaseous sample or vapor generated by a cell population associated with the predetermined condition. The population of cells associated with the predetermined condition may be, for example, a culture of an established cell line associated with the predetermined condition. Simultaneously with, or subsequent to, presentation of the training sample, the animal is subjected to an adverse stimulus, such as an electric shock. The animal is allowed animal to perform a first predetermined response in order to avoid, escape or terminate the adverse stimulus. The invention also provides a method for detecting a condition, such as cancer, in an individual in which a trained animal performs the predetermined response upon exposure to vapors from a body fluid of an individual affected with the condition.
    Type: Application
    Filed: January 25, 2015
    Publication date: December 1, 2016
    Inventors: Michal MARK-DANIELI, Asher CASTIEL
  • Publication number: 20160326245
    Abstract: The invention provides antibodies or an antigen-binding portion thereof, which recognize the human Frizzled 7 receptor. Further, the invention provides methods of using these antibodies for the treatment cancer in a subject.
    Type: Application
    Filed: January 1, 2015
    Publication date: November 10, 2016
    Inventors: Benjamin DEKEL, Naomi PODE-SHAKKED, Orit HARARI-STEINBERG, Michal MARK-DANIELI, Einav VAX