Patent ID: 11908560
Assignee: ONCOHOST LTD.
Field: Medical technology (Instruments)
Classification: CPC G | IPC G

Claim 15:
16. The method of claim 13, wherein said predicting the response to said immunotherapy comprises:
a. receiving a plurality of protein data element values
i. in a population of subjects suffering from cancer and known to respond to said immunotherapy (responders); and
ii. in a population of subjects suffering from cancer and known to not respond to said therapy (non-responders);

b. calculating for each protein of said plurality of protein data element values a resistance score, where said resistance score is based on the similarity of said protein data element value in said subject to the protein data element value in said responders and the similarity of said protein data element value in said subject to said non-responders;
c. classifying a protein of said plurality of protein data element values with a resistance score above a predetermined threshold as a resistance-associated protein;
d. summing the number of resistance-associated proteins present for said subject; and
e. applying a trained machine learning algorithm to said number of resistance-associated proteins and at least one clinical parameter of said subject, wherein said trained machine learning algorithm outputs a final resistance score and a final resistance score above a predetermined threshold indicates said subject is resistant to said therapy.