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:
Mar. 25, 2025

Filed:

Apr. 24, 2024
Applicant:

Insitro, Inc., South San Francisco, CA (US);

Inventors:

Francesco Paolo Casale, San Francisco, CA (US);

Michael Bereket, San Carlos, CA (US);

Matthew Albert, San Francisco, CA (US);

Assignee:

INSITRO, INC., South San Francisco, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G16H 20/10 (2018.01); A61B 5/00 (2006.01); G06T 7/00 (2017.01); G16H 15/00 (2018.01); G16H 30/20 (2018.01); G16H 50/70 (2018.01);
U.S. Cl.
CPC ...
G16H 20/10 (2018.01); A61B 5/4848 (2013.01); G06T 7/0012 (2013.01); G16H 15/00 (2018.01); G16H 30/20 (2018.01); G16H 50/70 (2018.01);
Abstract

An exemplary discovery platform includes machine-learning techniques for using medical imaging data to study a phenotype of interest, such as complex diseases with weak or unknown genetic drivers. An exemplary method of identifying a patient subgroup of interest, comprises inputting a plurality of medical images obtained from a group of clinical subjects into a trained unsupervised machine-learning model to obtain a plurality of embeddings in a latent space, clustering the plurality of embeddings to generate one or more clusters of embeddings, identifying one or more patient subgroups corresponding to the one or more clusters of embeddings, and associating each patient subgroup of the one or more patient subgroups with a covariant to identify the patient subgroup of interest.


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