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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.:

US 12014831 B1

PDFFull Text
Date of Patent:
Jun. 18, 2024

Filed:

Dec. 01, 2022

Approaches to reducing dimensionality of genetic information used for machine learning and systems for implementing the same

Applicant:

Aionco, Inc., Menlo Park, CA (US);

Inventors:

Cheuk Ying Tang, Cupertino, CA (US);

Victor Solovyev, San Francisco, CA (US);

Gene Lee, Millbrae, CA (US);

Assignee:

AIONCO, Inc., Menlo Park, CA (US);

Attorney:

Perkins Coie LLP

Primary Examiner:

Jay M Patel

Int. Cl.
CPC ...
G16H 50/20 (2018.01); G16B 40/20 (2019.01); G16H 50/70 (2018.01);
U.S. Cl.
CPC ...
G16H 50/20 (2018.01); G16B 40/20 (2019.02); G16H 50/70 (2018.01);
Abstract

Introduced here is an approach to further refining a set of locations that can serve as inputs to a machine learning algorithm. These locations may refer to unique molecular positions in a reference human genome and/or unique mutations thereof that are relevant in diagnosing cancer. A computing system can determine the diagnostic relevance of each location and then discard some of the less diagnostically relevant locations.

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Tang, Cheuk. (2024). Approaches to reducing dimensionality of genetic information used for machine learning and systems for implementing the same (U.S. Patent No. 12014831). U.S. Patent and Trademark Office. https://idiyas.com/patent/badge/12014831

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