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US 2019/0100809 A1Published application
Algorithms for disease diagnostics
AssigneeVeracyte, Inc.
InventorsGiulia C. KENNEDY, Darya I. CHUDOVA, Jonathan I. WILDE, James G. VEITCH, Bonnie H. ANDERSON, Eric T. WANG
Life of this patent
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Abstract
The present invention relates to compositions and methods for molecular profiling and diagnostics for genetic disorders and cancer, including but not limited to gene expression product markers associated with cancer or genetic disorders. In particular, the present invention provides algorithms and methods of classifying cancer, for example, thyroid cancer, methods of determining molecular profiles, and methods of analyzing results to provide a diagnosis.
Claims20
A method for evaluating a thyroid tissue sample, comprising:
- (a) determining expression levels for a plurality of gene expression products from said thyroid tissue sample to generate gene expression data for at least two different sets of biomarkers corresponding to different tissue types, which thyroid tissue sample is indeterminate when subjected to cytology;
- and
- (b) using a trained algorithm to process said gene expression data to classify said thyroid tissue sample as benign, malignant or suspicious for a disease condition .
Dependencies are inferred from the claim text.