PDCD1 and neoplasm: The most significant tumor micro-environment features (the patient-specific kc value, the initial CD8+ cytotoxic T-cell population, and the initial CD8+ naive T-cell population) were used as inputs into the classification systems biology informed neural network (C-SBINN) to predict response phenotype to anti-PD-1 immunotherapy directly from these features.