Known Medicine was founded to move tumor sensitivity testing out of the patient and into the lab. Here's the very basics of what we do.
We take patient cancer samples and use them to create small tumors. We give these micro-tumors everything they need to behave the way they would in a patient's body, including using immune and scaffolding cells from the cancer patient. Then, we treat each sample with different treatment combinations, and see what that tumor is most sensitive to.
Once the micro-tumors have had some time to respond to the treatments, we can take a look at the results. How many cancer cells died is just one factor here-- we use machine learning to look for phenotypic indicators of real patient sensitivity, many of which are not clear by eye.