Patent ID: 11908139
Assignee: PATHAI, INC.
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 11:
12. A system for predicting an entity of interest for a pathology image, the system comprising:
at least one computer hardware processor; and
at least one non-transitory computer-readable storage medium storing processor-executable instructions that, when executed by the at least one computer hardware processor, cause the at least one computer hardware processor to perform:
accessing a pathology image of a patient;
processing, using a trained deep learning model trained on a plurality of annotated images, the pathology image to determine tissue and cell characteristics for the pathology image;
extracting values for one or more features based on the tissue and cell characteristics for the pathology image;
predicting an entity of interest using the values for the one or more features, wherein the entity of interest includes one or more of patient response, tumor molecular characteristics, and patient clinical outcomes; and
outputting the predicted entity of interest associated with the patient for storing on at least one storage device.