Patent ID: 11935152
Assignee: TEMPUS LABS, INC.
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 0:
1. A computing system for identifying biomarkers in a digital image of a Hematoxylin and Eosin-stained slide of a target tissue, comprising:
one or more processors;
an electronic network; and
one or more memories having stored thereon computer-executable instructions that, when executed by the one or more processors, cause the computing system to:
process a plurality of segmented tile images each corresponding to a different respective portion of the digital image using a deep learning framework by:
(i) predicting a respective biomarker classification for each tile image using one or more trained biomarker classification models; and
(ii) predicting a respective tissue classification for each tile image using one or more trained deep learning classifier models;
determine, based on (i) and (ii), a predicted presence of one or more biomarkers in the target tissue;
transmit, via the electronic network, the predicted presence of the one or more biomarkers;
receive a molecular training dataset for a plurality of training tissue samples, the molecular training dataset comprising molecular data based on sequencing of a substantially similar sample associated with each training tissue sample; and
identify one or more molecular data subsets in the molecular training dataset, each corresponding to a different respective biomarker, by processing the molecular training dataset using a clustering algorithm.