| CPC G16H 20/10 (2018.01) [A61B 5/4848 (2013.01); G06T 7/0012 (2013.01); G16H 15/00 (2018.01); G16H 30/20 (2018.01); G16H 50/70 (2018.01)] | 20 Claims |
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1. A system of identifying a covariant of interest with respect to drug response phenotype (DRP) of a treatment, comprising one or more processors, a memory, and one or more programs, wherein the one or more programs are stored in the memory and configured to be executed by the one or more processors, the one or more programs including instructions for:
receiving covariant information of a covariate class obtained from a group of clinical subjects;
receiving a plurality of baseline medical images and a plurality of follow-up medical images from the group of clinical subjects;
obtaining a plurality of progression embeddings based on the plurality of baseline medical images and the plurality of follow-up medical images;
inputting the plurality of progression embeddings into a trained classification model to obtain a plurality of classification results indicative of DRP values of the group of clinical subjects; and
determining, based on the covariant information for the group of clinical subjects, the plurality of classification results, and one or more machine learning models, an association between each candidate covariant of a plurality of candidate covariants and the DRP values to identify the covariant of interest.
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