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US 2026/0229359 A1Published application
Methods and systems of classifying tumor tissue samples
AssigneeVeracyte, Inc.
InventorsYangyang Hao, Jing Huang, Ruochen Jiang, Joshua Klopper, Yang Liu
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Abstract
Provided herein are methods and systems for analysing a sample of a subject by using a trained algorithm to classify the samples as invasive, non-invasive, metastatic, non-metastatic or combinations thereof. The methods may comprise using gene signatures as features of a model. The method may comprise using one or more gene aberrations as features of a model.
Claims21
-97. (canceled)
A method for processing or analyzing a tissue sample of a subject, comprising:
- (a) subjecting a first portion of said tissue sample to cytological analysis that indicates that said first portion of said tissue sample comprises a thyroid tissue sample with a risk of malignancy;
- (b) upon identifying said first portion of said tissue sample as comprising a thyroid tissue sample with said risk of malignancy, assaying a plurality of gene expression products from a second portion of said tissue sample to yield a first data set;
- (c) in a programmed computer, using a trained algorithm to process said first data set from (b) to generate a classification of a risk of being invasive, metastatic or a combination thereof, for said second portion of said tissue sample;
- and
- (d) outputting a report indicative of said classification of said risk of being invasive, metastatic, or a combination thereof.
2 more elements
Dependencies are inferred from the claim text.