The talk focus then on the use of AI immuno-oncology applications where AI can support biomarker quantification such as the tumor proportion scoring based on PD-L1 staining, the detection of tertiary lymphoid structures, and their germinal centers, and the quantification of tumor-infiltrating lymphocytes, towards fully-automated quantification of composite biomarkers.13 This evidence concerns the gene CD274 and neoplasm.