Patents by Inventor Aleksandr Sarachakov

Aleksandr Sarachakov 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).

  • Publication number: 20240029829
    Abstract: Described herein in some embodiments is a method comprising: obtaining expression data previously obtained by processing a biological sample obtained from a subject; processing the expression data using a hierarchy of machine learning classifiers corresponding to a hierarchy of molecular categories to obtain machine learning classifier outputs including a first output and a second output, the hierarchy of molecular categories including a parent molecular category and first and second molecular categories that are children of the parent molecular category in the hierarchy of molecular categories, the hierarchy of machine learning classifiers comprising first and second machine learning classifiers corresponding to the first and second molecular categories; and identifying, using at least some of the machine learning classifier outputs including the first output and the second output, at least one candidate molecular category for the biological sample.
    Type: Application
    Filed: December 4, 2021
    Publication date: January 25, 2024
    Applicant: BostonGene Corporation
    Inventors: Nikita Kotlov, Zoia Antysheva, Daria Kiriy, Anton Sivkov, Aleksandr Sarachakov, Viktor Svekolkin, Ivan Kozlov
  • Publication number: 20220180972
    Abstract: Described herein in some embodiments is a method comprising: obtaining expression data previously obtained by processing a biological sample obtained from a subject; processing the expression data using a hierarchy of machine learning classifiers corresponding to a hierarchy of molecular categories to obtain machine learning classifier outputs including a first output and a second output, the hierarchy of molecular categories including a parent molecular category and first and second molecular categories that are children of the parent molecular category in the hierarchy of molecular categories, the hierarchy of machine learning classifiers comprising first and second machine learning classifiers corresponding to the first and second molecular categories; and identifying, using at least some of the machine learning classifier outputs including the first output and the second output, at least one candidate molecular category for the biological sample.
    Type: Application
    Filed: December 4, 2021
    Publication date: June 9, 2022
    Inventors: Nikita Kotlov, Zoia Antysheva, Daria Kiriy, Anton Sivkov, Aleksandr Sarachakov, Viktor Svekolkin, Ivan Kozlov