Systems and methods for determining tissue microarray sampling protocols

A method for determining a sampling protocol for sampling tissue cores for a tissue microarray, the method comprising:

• obtaining an initial plurality of tissue cores from an image of a tissue slide;
• selecting a first subset of the initial plurality of tissue cores based on a first candidate sampling protocol;
• inputting the first subset of the plurality of tissue cores into a machine learning model;
• evaluating the first candidate sampling protocol by evaluating a first output of the machine learning model based on the first subset of the plurality of tissue cores;
• selecting a second subset of the initial plurality of tissue cores based on a second candidate sampling protocol;
• inputting the second subset of the plurality of tissue cores into the machine learning model;
• evaluating the second candidate sampling protocol by evaluating a second output of the machine learning model based on the second subset of the plurality of tissue cores;
• and
• determining the sampling protocol based on the evaluation of the first candidate sampling protocol and the second candidate sampling protocol.

A non-transitory computer-readable medium storing instructions for determining a sampling protocol for sampling tissue cores for a tissue microarray, wherein the instructions are executable by a system comprising one or more processors to cause the system to:

• obtain an initial plurality of tissue cores from an image of a tissue slide;
• select a first subset of the initial plurality of tissue cores based on a first candidate sampling protocol;
• input the first subset of the plurality of tissue cores into a machine learning model;
• evaluate the first candidate sampling protocol by evaluating a first output of the machine learning model based on the first subset of the plurality of tissue cores;
• select a second subset of the initial plurality of tissue cores based on a second candidate sampling protocol;
• input the second subset of the plurality of tissue cores into the machine learning model;
• evaluate the second candidate sampling protocol by evaluating a second output of the machine learning model based on the second subset of the plurality of tissue cores;
• and
• determine the sampling protocol based on the evaluation of the first candidate sampling protocol and the second candidate sampling protocol.