Patent ID: 11972870
Assignee: PATHOMIQ INC.
Field: Medical technology (Instruments)
Classification: CPC G | IPC G

Claim 0:
1. A method of predicting patient response to therapy, comprising:
receiving a plurality of patient tissue image slides;
receiving a plurality of patient outcome data; dividing the image slides into patches;
receiving a plurality of labels correlated with a disease or lack thereof, wherein each label comprises of a morphological type;
converting each patch to a patch vector;
training an artificial intelligence network, based on the plurality of labels to identify the morphological types associated with each label in the image slides; generating labeled patch vectors;
clustering the labeled patch vectors, with an unsupervised artificial intelligence network, wherein each cluster corresponds to a morphological subtype expressed in the patch corresponding to the labeled patch vector and a patient outcome;
generating a patch-level score for each patch based at least partly on the cluster to which the patch vector of the patch belongs, wherein the label of a patch vector is assigned based, at least partly, on the plurality of the labels and the morphological type expressed in the patch, wherein generating the patch-level score further comprises:
converting regions surrounding each patch to microenvironment vectors;
obtaining mean vectors by averaging the patch vectors corresponding to the patches with the microenvironment vectors;
clustering the mean vectors;
sampling input mean vectors from each cluster; and
using an artificial intelligence model, comprising a plurality of weights convert each sampled input mean vectors to a patch-level score; and

generating a patient-level score for each patient, at least partly based on the patch-level scores generated for each patient.