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.

Date of Patent:
Aug. 12, 2025

Filed:

Nov. 07, 2019
Applicant:

Cancer Research Technology Limited, London, GB;

Inventors:

Florent Mouliere, London, GB;

Dineika Chandrananda, London, GB;

Anna Piskorz, London, GB;

James Brenton, London, GB;

Nitzan Rosenfeld, London, GB;

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G16B 40/20 (2019.01); C12N 15/10 (2006.01); G16B 30/00 (2019.01); G16H 10/40 (2018.01); G16H 50/20 (2018.01); G16H 50/70 (2018.01); G16H 70/60 (2018.01);
U.S. Cl.
CPC ...
G16B 40/20 (2019.02); C12N 15/1093 (2013.01); G16B 30/00 (2019.02); G16H 10/40 (2018.01); G16H 50/20 (2018.01); G16H 50/70 (2018.01); G16H 70/60 (2018.01);
Abstract

The present invention provides a computer-implemented method for detecting variant nucleic acid from a cell-free nucleic acid-containing sample. The method comprises (a) providing data representing fragment sizes of nucleic acid fragments obtained from said sample and/or representing a measure of deviation from copy number neutrality of the nucleic acid fragments obtained from said sample; b) processing the data from step a) according to a classification algorithm, wherein said classification algorithm operates to classify sample data into one of at least a first class containing the variant nucleic acid and a second class not containing the variant nucleic acid, based on a plurality of cell-free nucleic acid fragment size features and/or a deviation from copy number neutrality feature; and c) outputting the classification of the sample from step b, thereby determining whether the sample contains the variant nucleic acid or not, or a probability that the sample contains the variant nucleic acid. Related methods are also provided.


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