| CPC G06T 7/0012 (2013.01) [C12N 5/0606 (2013.01); G01N 1/30 (2013.01); G01N 33/5014 (2013.01); G01N 33/5076 (2013.01); G06F 18/214 (2023.01); G06F 18/217 (2023.01); G06N 3/084 (2013.01); G06V 10/764 (2022.01); G06V 10/82 (2022.01); G06V 20/698 (2022.01); G16B 40/00 (2019.02); C12N 2503/02 (2013.01); C12N 2510/00 (2013.01); G06T 2200/04 (2013.01); G06T 2207/20076 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/30024 (2013.01); G06T 2207/30072 (2013.01); G06V 2201/03 (2022.01)] | 23 Claims |

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1. A method for classifying a test organoid, said method comprising the steps of:
(a) imaging a test organoid to provide an organoid image; and
(b) analyzing the organoid image with a trained neural network that has been trained to assign a classification to the test organoid, wherein the classification comprises disease phenotype or non-disease phenotype.
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