NIH researchers developed an AI tool, LORIS, predicting cancer response to immune checkpoint inhibitors using routine clinical data. It evaluates age, cancer type, therapy history, blood albumin, neutrophil-to-lymphocyte ratio, and tumor mutational burden. The model, tested on 2,881 patients, accurately predicts treatment response and survival, identifying effective immunotherapy candidates beyond current biomarkers.