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:
Jul. 29, 2025

Filed:

Apr. 09, 2025
Applicant:

Recursion Pharmaceuticals, Inc., Salt Lake City, UT (US);

Inventors:

Arin Minasian, Toronto, CA;

Conor Austin Forsman Tillinghast, Salt Lake City, UT (US);

Jordan Michael Sorokin, Fort Collins, CO (US);

Kelly Anne Zalocusky, Belfair, WA (US);

Marta Marie Fay, Salt Lake City, UT (US);

Maryam Fallah, Toronto, CA;

Mohammadsadegh Saberian, Kitchener, CA;

Assignee:

Recursion Pharmaceuticals, Inc., Salt Lake City, UT (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G16B 45/00 (2019.01); G06N 20/00 (2019.01); G06T 7/00 (2017.01);
U.S. Cl.
CPC ...
G06T 7/0012 (2013.01); G06N 20/00 (2019.01); G06T 2207/20081 (2013.01); G06T 2207/30024 (2013.01);
Abstract

The present disclosure relates to systems, non-transitory computer-readable media, and methods that train and utilize machine learning models to generate perturbation embeddings from phenomic images of cells, including neuronal cell images. Indeed, in one or more implementations, the disclosed systems generate a perturbation embedding using an adapter model or a mixture of experts model. In some implementations, the disclosed systems utilize a mixture of experts model that combines phenomic embeddings from different embedding models to generate a mixture of experts phenomap that contains information from multiple embedding models.


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