Patents by Inventor Sai Patibandla

Sai Patibandla 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: 11959917
    Abstract: Disclosed herein are immunoassay methods and reagents for detecting anti-Zika IgM antibody in a biological sample from a subject and/or diagnosing Zika virus infection in a subject. Also disclosed are algorithms for implementing the disclosed methods. The disclosed immunoassay methods, reagents, and algorithms enable efficient and reliable qualitative detection of anti-Zika virus antibodies and rapid determination of presumptive positive results for Zika virus infection in human subjects.
    Type: Grant
    Filed: September 18, 2019
    Date of Patent: April 16, 2024
    Assignee: Siemens Healthcare Diagnostics Inc.
    Inventors: Sai Patibandla, Krishna Singh
  • Publication number: 20230152321
    Abstract: Disclosed herein are immunoassay methods and reagents for detecting anti-Zika IgM antibody in a biological sample from a subject and/or diagnosing Zika virus infection in a subject. Also disclosed are algorithms for implementing the disclosed methods. The disclosed immunoassay methods, reagents, and algorithms enable efficient and reliable qualitative detection of anti-Zika virus antibodies and rapid determination of presumptive positive results for Zika virus infection in human subjects.
    Type: Application
    Filed: January 11, 2023
    Publication date: May 18, 2023
    Applicant: Siemens Healthcare Diagnostics Inc.
    Inventors: Sai Patibandla, Krishna Singh
  • Publication number: 20220034882
    Abstract: Disclosed herein are immunoassay methods and reagents for detecting anti-Zika IgM antibody in a biological sample from a subject and/or diagnosing Zika virus infection in a subject. Also disclosed are algorithms for implementing the disclosed methods. The disclosed immunoassay methods, reagents, and algorithms enable efficient and reliable qualitative detection of anti-Zika virus antibodies and rapid determination of presumptive positive results for Zika virus infection in human subjects.
    Type: Application
    Filed: September 18, 2019
    Publication date: February 3, 2022
    Applicant: Siemens Healthcare Diagnostics Inc.
    Inventors: Sai Patibandla, Krishna Singh