Patents by Inventor Nir DROMI

Nir DROMI 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: 11442444
    Abstract: A system and method for forecasting failures in industrial machines, including: receiving raw sensory inputs collected from at least one machine; generating a plurality of data features based on the raw sensory inputs; selecting from the plurality of data features a plurality of indicative data features, wherein the selection is based on a distribution of the plurality of indicative data features that determines an association between the plurality of indicative data features and a machine failure; selecting, based on the plurality of indicative data features, a machine learning model; applying the selected machine learning model to the plurality of indicative data features; and determining a probability for a forthcoming machine failure.
    Type: Grant
    Filed: February 4, 2021
    Date of Patent: September 13, 2022
    Assignee: AKTIEBOLAGET SKF
    Inventors: David Lavid Ben Lulu, Nir Dromi
  • Publication number: 20210157310
    Abstract: A system and method for forecasting failures in industrial machines, including: receiving raw sensory inputs collected from at least one machine; generating a plurality of data features based on the raw sensory inputs; selecting from the plurality of data features a plurality of indicative data features, wherein the selection is based on a distribution of the plurality of indicative data features that determines an association between the plurality of indicative data features and a machine failure; selecting, based on the plurality of indicative data features, a machine learning model; applying the selected machine learning model to the plurality of indicative data features; and determining a probability for a forthcoming machine failure.
    Type: Application
    Filed: February 4, 2021
    Publication date: May 27, 2021
    Inventors: David LAVID BEN LULU, Nir DROMI
  • Publication number: 20200209111
    Abstract: A system and computer-implemented method for detecting anomalies in industrial machine sensor data, including: computing, based on a received suspected anomalous level value of a sensory input data of each of the a plurality of sensory input data of a plurality of industrial machines that are located within a predetermined proximity, an average anomalous amount that is associated with at least a time interval; and determining that at least one of the plurality of suspected anomalies is an anomaly when a result of a subtraction of the computed average anomalous amount from each suspected anomalous level value of the plurality of sensory input data exceeds a predetermined threshold.
    Type: Application
    Filed: December 17, 2019
    Publication date: July 2, 2020
    Applicant: Presenso, Ltd.
    Inventors: David LAVID BEN LULU, Nir DROMI, Aleksandr TOLSTOV, ILIA SERGEEVICH SMYSHLIAEV
  • Publication number: 20190300963
    Abstract: The present invention provides a method for classification of thyroid tumors through the analysis of the expression patterns of specific microRNAs in fine needle aspiration samples. Thyroid tumor classification according to a microRNA expression signature allows optimization of diagnosis and treatment, as well as determination of signature-specific therapy.
    Type: Application
    Filed: November 15, 2018
    Publication date: October 3, 2019
    Applicant: ROSETTA GENOMICS LTD.
    Inventors: Zohar Barnett-Itzhaki, Gila Lithwick Yanai, Eti Meiri, Yael Spector, Hila Benjamin, Nir Dromi
  • Publication number: 20190032142
    Abstract: The present invention provides a process for classification of cancers and tissues of origin through the analysis of the expression patterns of specific microRNAs and nucleic acid molecules relating thereto. Classification according to a microRNA tree-based expression framework allows optimization of treatment, and determination of specific therapy.
    Type: Application
    Filed: March 1, 2018
    Publication date: January 31, 2019
    Applicant: Rosetta Genomics Ltd.
    Inventors: Ranit Aharonov, Nitzan Rosenfeld, Shai Rosenwald, Nir Dromi
  • Publication number: 20170356055
    Abstract: The present invention provides a method for classification of thyroid tumors through the analysis of the expression patterns of specific microRNAs in fine needle aspiration samples. Thyroid tumor classification according to a microRNA expression signature allows optimization of diagnosis and treatment, as well as determination of signature-specific therapy.
    Type: Application
    Filed: June 16, 2017
    Publication date: December 14, 2017
    Inventors: Zohar Barnett-Itzhaki, Gila Lithwick Yanai, Eti Meiri, Yael Spector, Hila Benjamin, Nir Dromi
  • Patent number: 9708667
    Abstract: The present invention provides a method for classification of thyroid tumors through the analysis of the expression patterns of specific microRNAs in fine needle aspiration samples. Thyroid tumor classification according to a microRNA expression signature allows optimization of diagnosis and treatment, as well as determination of signature-specific therapy.
    Type: Grant
    Filed: August 15, 2016
    Date of Patent: July 18, 2017
    Assignee: ROSETTA GENOMICS, LTD.
    Inventors: Gila Lithwick Yanai, Eti Meiri, Yael Spector, Hila Benjamin, Nir Dromi
  • Publication number: 20170016076
    Abstract: The present invention provides a method for classification of thyroid tumors through the analysis of the expression patterns of specific microRNAs in fine needle aspiration samples. Thyroid tumor classification according to a microRNA expression signature allows optimization of diagnosis and treatment, as well as determination of signature-specific therapy.
    Type: Application
    Filed: August 15, 2016
    Publication date: January 19, 2017
    Inventors: Zohar Barnett-Itzhaki, Gila Lithwick Yanai, Eti Meiri, Yael Spector, Hila Benjamin, Nir Dromi
  • Publication number: 20150368724
    Abstract: The present invention provides a process for classification of cancers and tissues of origin through the analysis of the expression patterns of specific microRNAs and nucleic acid molecules relating thereto. Classification according to a microRNA tree-based expression framework allows optimization of treatment, and determination of specific therapy.
    Type: Application
    Filed: June 22, 2015
    Publication date: December 24, 2015
    Inventors: Ranit Aharonov, Nitzan Rosenfeld, Shai Rosenwald, Nir Dromi
  • Patent number: 9096906
    Abstract: The present invention provides a process for classification of cancers and tissues of origin through the analysis of the expression patterns of specific microRNAs and nucleic acid molecules relating thereto. Classification according to a microRNA tree-based expression framework allows optimization of treatment, and determination of specific therapy.
    Type: Grant
    Filed: April 3, 2013
    Date of Patent: August 4, 2015
    Assignee: Rosetta Genomics Ltd.
    Inventors: Ranit Aharonov, Nitzan Rosenfeld, Shai Rosenwald, Nir Dromi
  • Publication number: 20130259839
    Abstract: The present invention provides a process for classification of cancers and tissues of origin through the analysis of the expression patterns of specific microRNAs and nucleic acid molecules relating thereto. Classification according to a microRNA tree-based expression framework allows optimization of treatment, and determination of specific therapy.
    Type: Application
    Filed: April 3, 2013
    Publication date: October 3, 2013
    Inventors: Ranit AHARONOV, Nitzan ROSENFELD, Shai ROSENWALD, Nir DROMI