Patents by Inventor Ali Rizwan

Ali Rizwan 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: 12648711
    Abstract: An artificial intelligence-based system and method for scalable screening of individuals for respiratory infection, such as COVID-19. The system is trained to distinguish distinct latent features of cough sounds produced by a COVID-19 infected person from cough sounds produced by patients suffering from any other respiratory infection or involuntary cough sounds produced by a healthy person. Cough sound samples from individuals can be remotely collected and evaluated by the system for likelihood of the COVID-19 infection. Additionally, images of affected body parts, biomarkers, metadata, and other respiratory sound samples can also be used for screening.
    Type: Grant
    Filed: July 13, 2021
    Date of Patent: June 9, 2026
    Assignee: AIFLYF LLC
    Inventors: Ali Imran, Iryna Posokhova, Ali Rizwan
  • Publication number: 20220104725
    Abstract: An artificial intelligence-based system and method for scalable screening of individuals for respiratory infection, such as COVID-19. The system is trained to distinguish distinct latent features of cough sounds produced by a COVID-19 infected person from cough sounds produced by patients suffering from any other respiratory infection or involuntary cough sounds produced by a healthy person. Cough sound samples from individuals can be remotely collected and evaluated by the system for likelihood of the COVID-19 infection. Additionally, images of affected body parts, biomarkers, metadata, and other respiratory sound samples can also be used for screening.
    Type: Application
    Filed: July 13, 2021
    Publication date: April 7, 2022
    Inventors: Ali Imran, Iryna Posokhova, Ali Rizwan
  • Publication number: 20210338103
    Abstract: An artificial intelligence-based system and method for scalable screening of individuals for respiratory infection, such as COVID-19. The system is trained to distinguish distinct latent features of cough sounds produced by a COVID-19 infected person from cough sounds produced by patients suffering from any other respiratory infection or involuntary cough sounds produced by a healthy person. Cough sound samples from individuals can be remotely collected and evaluated by the system for likelihood of the COVID-19 infection. Additionally, images of affected body parts, biomarkers, metadata, and other respiratory sound samples can also be used for screening.
    Type: Application
    Filed: July 13, 2021
    Publication date: November 4, 2021
    Inventors: Ali Imran, Iryna Posokhova, Ali Rizwan