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

Claim 18:
19. 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 factors of said plurality of factors a resistance score, where said resistance score is based on the similarity of said factor expression level in said subject to the factor expression level in said responders and the similarity of said factor expression level in said subject to said non-responders and wherein said calculating comprises applying a machine learning algorithm trained on a training set comprising said received factor expression levels in responders and non-responders and the sex of each of said responders and non-responders to individual received factor expression levels from said subject and said subject's sex and wherein said machine learning algorithm outputs said resistance score; and
c. sum said calculated resistance scores to produce a total resistance score;
wherein a subject with a total resistance score beyond a predetermined threshold is predicted to be resistant to said therapy.