Patents by Inventor Roman Gelfand

Roman Gelfand 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).

  • Microwave catheter apparatuses, systems, and methods for renal neuromodulation
    Patent number: 11963718
    Abstract: Microwave catheter apparatuses, systems, and methods for achieving renal neuromodulation by intravascular access are disclosed herein. One aspect of the present application, for example, is directed to apparatuses, systems, and methods that incorporate a catheter treatment device comprising an elongated shaft. The elongated shaft is sized and configured to deliver a microwave transmission element to a renal artery via an intravascular path. Renal neuromodulation may be achieved via dielectric heating in the presence of microwave irradiation that modulates neural fibers that contribute to renal function or alters vascular structures that feed or perfuse the neural fibers.
    Type: Grant
    Filed: May 19, 2021
    Date of Patent: April 23, 2024
    Assignee: Medtronic Ireland Manufacturing Unlimited Company
    Inventors: Karun D. Naga, Roman Turovskiy, Denise Zarins, Mark Gelfand, Arye Rosen
  • Classification models for binary code data
    Patent number: 10990363
    Abstract: Examples disclosed herein relate to classification models for binary code data. Some of the examples enable obtaining changed binary code data and unchanged binary code data, and generating, using a machine-leaning algorithm, a classification model based on training data that comprises the changed binary code data and the unchanged binary code data.
    Type: Grant
    Filed: November 12, 2015
    Date of Patent: April 27, 2021
    Assignee: Micro Focus LLC
    Inventors: Amit Bezalel, Amir Wigelman, Roman Gelfand
  • CLASSIFICATION MODELS FOR BINARY CODE DATA
    Publication number: 20180321924
    Abstract: Examples disclosed herein relate to classification models for binary code data. Some of the examples enable obtaining changed binary code data and unchanged binary code data, and generating, using a machine-leaning algorithm, a classification model based on training data that comprises the changed binary code data and the unchanged binary code data.
    Type: Application
    Filed: November 12, 2015
    Publication date: November 8, 2018
    Applicant: ENTIT SOFTWARE LLC
    Inventors: Amit Bezalel, Amir Wigelman, Roman Gelfand