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:
Jun. 04, 2024

Filed:

Jun. 16, 2023
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 15/00 (2018.01); G06T 7/00 (2017.01); G16H 20/10 (2018.01); G16H 30/20 (2018.01);
U.S. Cl.
CPC ...
G16H 20/10 (2018.01); G06T 7/0012 (2013.01); G16H 15/00 (2018.01); G16H 30/20 (2018.01);
Abstract

The present disclosure relates to a discovery platform including 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 covariant of interest with respect to a phenotype comprises: receiving covariant information of a covariate class and corresponding phenotypic image data related to the phenotype obtained from a group of clinical subjects; inputting the phenotypic image data into a trained unsupervised machine-learning model to obtain a plurality of embeddings in a latent space, each embedding corresponding to a phenotypic state reflected in the phenotypic image data; and determining, based on the covariant information for the group of clinical subjects, the plurality of embeddings, and one or more linear regression models, an association between each candidate covariant of a plurality of candidate covariants and the phenotype state to identify the covariant of interest.


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