The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.
The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.
Patent No.:
Date of Patent:
Aug. 05, 2025
Filed:
Nov. 10, 2023
Veracyte Sd, Inc., South San Francisco, CA (US);
Mayo Foundation for Medical Education and Research, Rochester, MN (US);
Christine Buerki, Vancouver, CA;
Anamaria Crisan, Vancouver, CA;
Elai Davicioni, La Jolla, CA (US);
Nicholas George Erho, Vancouver, CA;
Mercedeh Ghadessi, New Westminster, CA;
Robert B. Jenkins, Rochester, MN (US);
Ismael A. Vergara Correa, West Vancouver, CA;
Veracyte SD, Inc., South San Francisco, CA (US);
Mayo Foundation for Medical Education and Research, Rochester, MN (US);
Abstract
In some embodiments, a machine learning model may be accessed and used to generate a likelihood score related to a condition. In some embodiments, pre-computed vectors may be derived from a training dataset used to build the machine learning model, and the pre-computed vectors may be used to generate processed data from target data derived from a target sample. The machine learning model may then be used on the processed data to generate the likelihood score related to the condition. As an example, subsets of the training dataset may be randomly selected, and the pre-computed vectors may be derived from the randomly-selected subsets of the training dataset. The pre-computed vectors may be applied to the target data to generate the processed data. In one use case, for example, the target data may be normalized using the pre-computed vectors.