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:
Oct. 04, 2022

Filed:

Sep. 30, 2019
Applicant:

Roche Molecular Systems, Inc., Pleasanton, CA (US);

Inventors:

Antoaneta Petkova Vladimirova, Mountain View, CA (US);

Yogesh P. Pandit, Fremont, CA (US);

Vishakha Sharma, Foster City, CA (US);

Tod M. Klingler, San Carlos, CA (US);

Hari Singhal, Foster City, CA (US);

Assignee:

Roche Molecular Systems, Inc., Pleasanton, CA (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G16H 50/20 (2018.01); G16H 20/30 (2018.01); G16H 10/40 (2018.01); G16H 15/00 (2018.01); G16H 50/30 (2018.01); G16B 40/00 (2019.01); G16B 20/00 (2019.01); G06T 7/00 (2017.01); G06V 20/69 (2022.01);
U.S. Cl.
CPC ...
G16H 50/20 (2018.01); G06T 7/0012 (2013.01); G06V 20/69 (2022.01); G16B 20/00 (2019.02); G16B 40/00 (2019.02); G16H 10/40 (2018.01); G16H 15/00 (2018.01); G16H 20/30 (2018.01); G16H 50/30 (2018.01);
Abstract

Methods and systems for performing a clinical prediction are provided. In one example, the method comprises: receiving first molecular data of a patient, the first molecular data including at least gene expressions of the patient; receiving first biopsy image data of the patient; processing, using a machine learning model, the first molecular data and the first biopsy image data to perform a clinical prediction of the patient's response to a treatment, wherein the machine learning model is generated or updated based on second molecular data including at least gene expressions and second biopsy image data of a plurality of patients; and generating an output of the clinical prediction.


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