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.:
Date of Patent:
Sep. 15, 2026
Filed:
Dec. 20, 2023
Recursion Pharmaceuticals, Inc., Salt Lake City, UT (US);
Anthus John Williams, Salt Lake City, UT (US);
James Thomas Brisette, Salt Lake City, UT (US);
Kristen Rose Morse, Cottonwood Heights, UT (US);
Khanh Ly Thi Nguyen, Salt Lake City, UT (US);
Matthew Lowry Mckeithen, Salt Lake City, UT (US);
Nicholas Cernek, Knoxville, TN (US);
Scott Michael Nielsen, South Jordan, UT (US);
Shweta Deepchand Bhandare, Boulder, CO (US);
Tatjana Sophie Kanashiro, Salt Lake City, UT (US);
Recursion Pharmaceuticals, Inc., Salt Lake City, UT (US);
Abstract
The present disclosure relates to systems, non-transitory computer-readable media, and methods for generating and displaying compatibility metrics between experiment designs and data analysis models. For example, the disclosed systems can display an experiment design user interface that enables user selections of a modular experiment design and data analysis models for the experiment design. Furthermore, the disclosed systems can extract (or identify) one or more analysis code validation components from data analysis models that detect design errors (e.g., incompatibilities) between selected data analysis models and the experiment design. Additionally, the disclosed systems can compare the one or more analysis code validation components to the experiment design to detect compatibilities between the selected data analysis models with the experiment design. Moreover, the disclosed systems can also display, within graphical user interfaces, the detected compatibilities between selected data analysis models and the experiment design during scheduling of the modular experiment design.