SYSTEMS AND METHODS FOR IDENTIFYING BIOACTIVE AGENTS UTILIZING UNBIASED MACHINE LEARNING

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United States of America Patent

APP PUB NO 20250104237A1
SERIAL NO

18906786

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Abstract

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Systems and methods for identifying molecules that are biologically active against a disease, where the method can comprise culturing a first mammalian cell population under organoid formation conditions in the presence of a test molecule to obtain a first organoid, wherein the first mammalian cell population, when cultured under the organoid formation conditions in the absence of the test molecule, results in an organoid with a disease phenotype; imaging the first organoid following exposure to the test molecule; analyzing one or more images of the first organoid using a neural network that has been trained to assign a probability score of disease or non-disease ranging between 0% and 100%; assigning the first organoid a probability score ranging between 0% and 100%; wherein the test molecule is biologically active against the disease if the probability score of the first organoid is greater than a cutoff probability score of non-disease or lower than a cutoff probability score of disease.

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UNIV ROCKEFELLERNot Provided

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Inventor(s)

Inventor Name Address # of filed Patents Total Citations
Brivanlou, Ali New York, US 9 134
Etoc, Fred New York, US 5 2
Metzger, Jakob New York, US 3 1
Siggia, Eric New York, US 2 1

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