Patents by Inventor Petr Boiko

Petr Boiko 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).

  • Phenotypic patient data derivation from economic data
    Patent number: 11335443
    Abstract: The application of deep machine learning controllers to derive models of phenotypic patient data from primary economic data is disclosed herein. The use of systems and methods of employing the model are disclosed and useful in predicting treatment outcomes and compound efficacy, suggesting treatment plans and compounds, and clinical studies and phenotypical correlation studies in conjunction with medical records, economic data sets or combinations thereof.
    Type: Grant
    Filed: September 7, 2020
    Date of Patent: May 17, 2022
    Assignee: OpenNano Pte. Ltd.
    Inventors: Vadim Pinskiy, Ashwin Gopinath, Kim E. Drexler, TJ Brunette, George Markou, Serge Faguet, Petr Boiko, Yuliya Seregina