BRAF and neoplasm: However, not only did they classify cancer tissues, but they also predicted genome duplications, driver mutations like TP53 or BRAF, and tumor-infiltrating lymphocyte (TIL) scores, setting the stage for a broad application of AI in creating pathology biomarkers.