Patents by Inventor Erez Ornan

Erez Ornan 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).

  • MACHINE LEARNING PREDICTION OF THERAPY RESPONSE
    Publication number: 20220102006
    Abstract: A method comprising: receiving, for each of a plurality of subjects, each having a specified type of cardiovascular or cardiometabolic disease and receiving at least one specified therapy from a set of therapies for treating cardiovascular and cardiometabolic diseases, a first score representing a first genetic predisposition in said subject to respond to one or more of said set of therapies; at a training stage, training a machine learning model on a training set comprising: (i) all of said first scores, and labels associated with a response in each of said subjects to said at least one specified therapy; and at an inference stage, apply said trained machine learning model to a target said first score received with respect to a target subject, to predict a response in said target subject to at least one of said therapies in said set.
    Type: Application
    Filed: December 13, 2021
    Publication date: March 31, 2022
    Inventors: Evangelos EVANGELOU, Eran FELDHAY, Erez ORNAN
  • Machine learning prediction of therapy response
    Patent number: 11227690
    Abstract: A method comprising: receiving, for each of a plurality of subjects, each having a specified type of cardiovascular or cardiometabolic disease and receiving at least one specified therapy from a set of therapies for treating cardiovascular and cardiometabolic diseases, a first score representing a first genetic predisposition in said subject to respond to one or more of said set of therapies; at a training stage, training a machine learning model on a training set comprising: (i) all of said first scores, and labels associated with a response in each of said subjects to said at least one specified therapy; and at an inference stage, apply said trained machine learning model to a target said first score received with respect to a target subject, to predict a response in said target subject to at least one of said therapies in said set.
    Type: Grant
    Filed: September 14, 2020
    Date of Patent: January 18, 2022
    Assignee: OPENDNA LTD.
    Inventors: Evangelos Evangelou, Eran Feldhay, Erez Ornan