MKI67 and neoplasm: In this pilot study, we explored how machine-learning on H&E-based morphometric features could distinguish the proliferation-committed fraction of neoplastic cells (which immunohistochemistry detects by Ki67-positive nuclear stain) in OSCC, to allow pathologists to evaluate this fundamental feature (information) directly on H&E-stained FFPE tumor slides (Figure S1).