Patents by Inventor Alessandra Breschi

Alessandra Breschi 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: 20230144221
    Abstract: The disclosure provides methods and systems for detecting alternative splicing variants in a patient sample. The methods involve comparison of splice junction data from RNA sequencing with principal splicing isoforms and identifying those sequences, identifying those sequences that do not match the principal splicing isoform. These sequences are categorized into alternative splicing events and documented. Optionally, previously identified target sequences can be utilized in the comparison where the method seeks sequences which do match. Other methods and systems of the present disclosure include those for building a splice profile of alternative splicing variants for a patient sample and those for developing a companion diagnostic test for a treatment method of a disease based on the presence or absence of alternative splicing variants in a patient sample.
    Type: Application
    Filed: October 11, 2022
    Publication date: May 11, 2023
    Inventors: Alessandra Breschi, Joshua SK Bell, Joshua Drews, Benjamin Leibowitz, Jackson Michuda
  • Patent number: 11385237
    Abstract: Classification of individuals based on their glycemic pattern and applications thereof are described. Generally, systems utilize continuous glucose monitoring data to determine glycemic pattern variability, which can be used as a basis to classify and treat individuals.
    Type: Grant
    Filed: June 5, 2019
    Date of Patent: July 12, 2022
    Assignee: The Board of Trustees of the Leland Stanford Junior University
    Inventors: Alessandra Breschi, Michael P. Snyder, Dalia Perelman, Heather Hall
  • Publication number: 20190369108
    Abstract: Classification of individuals based on their glycemic pattern and applications thereof are described. Generally, systems utilize continuous glucose monitoring data to determine glycemic pattern variability, which can be used as a basis to classify and treat individuals.
    Type: Application
    Filed: June 5, 2019
    Publication date: December 5, 2019
    Applicant: The Board of Trustees of the Leland Stanford Junior University
    Inventors: Alessandra Breschi, Michael P. Snyder, Dalia Perelman, Heather Hall