Patents by Inventor Akiva KLEINERMAN

Akiva KLEINERMAN 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).

  • Systems and methods for treatment selection
    Patent number: 12400763
    Abstract: There is disclosed a method and a system for predicting the efficacy of one or more treatments. A completed questionnaire may be received from a patient requiring treatment. The responses to the questionnaire may be input to a machine learning algorithm (MLA). The MLA may have been trained using labelled patient data. A predicted efficacy of one or more treatments and a prototype corresponding to the patient may be received from the MLA. An interface may be output indicating the predicted efficacy of the one or more treatments and the prototype.
    Type: Grant
    Filed: May 23, 2024
    Date of Patent: August 26, 2025
    Assignee: AIFRED HEALTH
    Inventors: Caitrin Armstrong, David Benrimoh, Robert Fratila, Adam Kapelner, Akiva Kleinerman, Joseph Mehltretter, Ariel Rosenfeld
  • SYSTEMS AND METHODS FOR TREATMENT SELECTION
    Publication number: 20250069746
    Abstract: There is disclosed a method and a system for predicting the efficacy of one or more treatments. A completed questionnaire may be received from a patient requiring treatment. The responses to the questionnaire may be input to a machine learning algorithm (MLA). The MLA may have been trained using labelled patient data. A predicted efficacy of one or more treatments and a prototype corresponding to the patient may be received from the MLA. An interface may be output indicating the predicted efficacy of the one or more treatments and the prototype.
    Type: Application
    Filed: May 23, 2024
    Publication date: February 27, 2025
    Inventors: Caitrin ARMSTRONG, David BENRIMOH, Robert FRATILA, Adam KAPELNER, Akiva KLEINERMAN, Joseph MEHLTRETTER, Ariel ROSENFELD
  • Systems and methods for treatment selection
    Patent number: 12033756
    Abstract: There is disclosed a method and a system for predicting the efficacy of one or more treatments. A completed questionnaire may be received from a patient requiring treatment. The responses to the questionnaire may be input to a machine learning algorithm (MLA). The MLA may have been trained using labelled patient data. A predicted efficacy of one or more treatments and a prototype corresponding to the patient may be received from the MLA. An interface may be output indicating the predicted efficacy of the one or more treatments and the prototype.
    Type: Grant
    Filed: October 4, 2021
    Date of Patent: July 9, 2024
    Assignee: AIFRED HEALTH
    Inventors: Caitrin Armstrong, David Benrimoh, Robert Fratila, Adam Kapelner, Akiva Kleinerman, Joseph Mehltretter, Ariel Rosenfeld
  • Systems and methods for treatment selection
    Patent number: 11605463
    Abstract: There is disclosed a method and a system for predicting the efficacy of one or more treatments. A completed questionnaire may be received from a patient requiring treatment. The responses to the questionnaire may be input to a machine learning algorithm (MLA). The MLA may have been trained using labelled patient data. A predicted efficacy of one or more treatments and a prototype corresponding to the patient may be received from the MLA. An interface may be output indicating the predicted efficacy of the one or more treatments and the prototype.
    Type: Grant
    Filed: January 10, 2022
    Date of Patent: March 14, 2023
    Assignee: AIFRED HEALTH
    Inventors: Caitrin Armstrong, David Benrimoh, Robert Fratila, Adam Kapelner, Akiva Kleinerman, Joseph Mehltretter, Ariel Rosenfeld
  • SYSTEMS AND METHODS FOR TREATMENT SELECTION
    Publication number: 20220130519
    Abstract: There is disclosed a method and a system for predicting the efficacy of one or more treatments. A completed questionnaire may be received from a patient requiring treatment. The responses to the questionnaire may be input to a machine learning algorithm (MLA). The MLA may have been trained using labelled patient data. A predicted efficacy of one or more treatments and a prototype corresponding to the patient may be received from the MLA. An interface may be output indicating the predicted efficacy of the one or more treatments and the prototype.
    Type: Application
    Filed: January 10, 2022
    Publication date: April 28, 2022
    Inventors: Caitrin ARMSTRONG, David BENRIMOH, Robert FRATILA, Adam KAPELNER, Akiva KLEINERMAN, Joseph MEHLTRETTER, Ariel ROSENFELD
  • SYSTEMS AND METHODS FOR TREATMENT SELECTION
    Publication number: 20220037023
    Abstract: There is disclosed a method and a system for predicting the efficacy of one or more treatments. A completed questionnaire may be received from a patient requiring treatment. The responses to the questionnaire may be input to a machine learning algorithm (MLA). The MLA may have been trained using labelled patient data. A predicted efficacy of one or more treatments and a prototype corresponding to the patient may be received from the MLA. An interface may be output indicating the predicted efficacy of the one or more treatments and the prototype.
    Type: Application
    Filed: October 4, 2021
    Publication date: February 3, 2022
    Inventors: Caitrin ARMSTRONG, David BENRIMOH, Robert FRATILA, Adam KAPELNER, Akiva KLEINERMAN, Joseph MEHLTRETTER, Ariel ROSENFELD