Patents by Inventor Morad Nakhleh

Morad Nakhleh 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: 11181519
    Abstract: The present invention provides a system and method for diagnosing, screening or monitoring a disease by analyzing the breath of a test subject using a selected definitive sensor set in conjunction with a pattern recognition analyzer, wherein the pattern recognition analyzer receives output signals of the sensor set, compares them to disease-specific patterns derived from a database of response patterns of the sensor set to exhaled breath of subjects with known diseases, wherein each of the disease-specific patterns is characteristic of a particular disease, and selects a closest match between the output signals of the sensor set and the disease-specific pattern.
    Type: Grant
    Filed: June 14, 2017
    Date of Patent: November 23, 2021
    Assignee: TECHNION RESEARCH & DEVELOPMENT FOUNDATION LIMITED
    Inventors: Hossam Haick, Morad Nakhleh
  • Patent number: 10837956
    Abstract: A sensor technology comprising a single nano-material (gold nanoparticles and/or carbon nanotube) based sensor or a plurality of sensors in conjunction with a pattern recognition algorithm for non-invasive and accurate diagnosis of tuberculosis caused by M. tuberculosis bacteria in a subject. The sensor technology is suitable for population screening of tuberculosis, particularly in resource-poor and developing countries.
    Type: Grant
    Filed: October 26, 2018
    Date of Patent: November 17, 2020
    Assignee: Technion Research & Development Foundation LTD
    Inventors: Hossam Haick, Morad Nakhleh
  • Publication number: 20190271685
    Abstract: The present invention provides a system and method for diagnosing, screening or monitoring a disease by analyzing the breath of a test subject using a selected definitive sensor set in conjunction with a pattern recognition analyzer, wherein the pattern recognition analyzer receives output signals of the sensor set, compares them to disease-specific patterns derived from a database of response patterns of the sensor set to exhaled breath of subjects with known diseases, wherein each of the disease-specific patterns is characteristic of a particular disease, and selects a closest match between the output signals of the sensor set and the disease-specific pattern.
    Type: Application
    Filed: June 14, 2017
    Publication date: September 5, 2019
    Applicant: TECHNION RESEARCH & DEVLOPMENT FOUNDATION LIMITED
    Inventors: Hossam HAICK, Morad NAKHLEH
  • Publication number: 20190064143
    Abstract: A sensor technology comprising a single nano-material (gold nanoparticles and/or carbon nanotube) based sensor or a plurality of sensors in conjunction with a pattern recognition algorithm for non-invasive and accurate diagnosis of tuberculosis caused by M. tuberculosis bacteria in a subject. The sensor technology is suitable for population screening of tuberculosis, particularly in resource-poor and developing countries.
    Type: Application
    Filed: October 26, 2018
    Publication date: February 28, 2019
    Inventors: Hossam HAICK, Morad NAKHLEH
  • Patent number: 10168315
    Abstract: A sensor technology comprising a single nano-material (gold nanoparticles and/or carbon nanotube) based sensor or a plurality of sensors in conjunction with a pattern recognition algorithm for non-invasive and accurate diagnosis of tuberculosis caused by M. tuberculosis bacteria in a subject. The sensor technology is suitable for population screening of tuberculosis, particularly in resource-poor and developing countries.
    Type: Grant
    Filed: October 27, 2013
    Date of Patent: January 1, 2019
    Assignee: Technion Research & Development Foundation Ltd.
    Inventors: Hossam Haick, Morad Nakhleh
  • Publication number: 20150301021
    Abstract: A sensor technology comprising a single nano-material (gold nanoparticles and/or carbon nanotube) based sensor or a plurality of sensors in conjunction with a pattern recognition algorithm for non-invasive and accurate diagnosis of tuberculosis caused by M. tuberculosis bacteria in a subject. The sensor technology is suitable for population screening of tuberculosis, particularly in resource-poor and developing countries.
    Type: Application
    Filed: October 27, 2013
    Publication date: October 22, 2015
    Inventors: Hossam Haick, Morad Nakhleh