Patents Assigned to AIONCO, Inc.
  • Approaches to reducing dimensionality of genetic information used for machine learning and systems for implementing the same
    Patent number: 12014831
    Abstract: Introduced here is an approach to further refining a set of locations that can serve as inputs to a machine learning algorithm. These locations may refer to unique molecular positions in a reference human genome and/or unique mutations thereof that are relevant in diagnosing cancer. A computing system can determine the diagnostic relevance of each location and then discard some of the less diagnostically relevant locations.
    Type: Grant
    Filed: December 1, 2022
    Date of Patent: June 18, 2024
    Assignee: AIONCO, Inc.
    Inventors: Cheuk Ying Tang, Victor Solovyev, Gene Lee