Immunotherapy response means whether a patient's cancer shrinks or stays controlled when the immune system is unleashed; predicting who will respond is one of the hardest open problems in cancer AI.
Cancer immunotherapy stimulates the immune system to treat cancer (Wikipedia). Only a minority of patients respond to checkpoint inhibitors, and the approved predictors (PD-L1 staining, mismatch repair deficiency, tumour mutational burden) are imperfect, so pathology and multimodal foundation models are trained to predict benefit from slides, sequencing and clinical data; MUSK reported such a task. Response is defined by imaging criteria at set time points, which makes the label noisy.
Showing the technology this term belongs to: Immune checkpoint inhibitors.
Shares Tertiary lymphoid structures (TLS), Cancer AI vocabulary (CanSim terms map) and the tag cansim-terms.
Shares Biomarker, Cancer AI vocabulary (CanSim terms map) and the tag cansim-terms.
Shares Tumour mutational burden (TMB), Cancer AI vocabulary (CanSim terms map) and the tag cansim-terms.
Shares Biomarker, Cancer AI vocabulary (CanSim terms map) and the tag cansim-terms.
Shares Biomarker, Cancer AI vocabulary (CanSim terms map) and the tag cansim-terms.
Shares Cancer AI vocabulary (CanSim terms map) and the tag cansim-terms.
Shares Cancer AI vocabulary (CanSim terms map) and the tag cansim-terms.
Shares Cancer AI vocabulary (CanSim terms map) and the tag cansim-terms.