COMPASS Uses Two-Stage Training: Self-Supervised Pre-Training and Cohort Fine-Tuning
marinkazitnik · x · 2026-07-03
COMPASS employs a two-stage training architecture. It first undergoes self-supervised pre-training on 10,184 tumor samples across 33 cancer types to learn universal tumor immune representations. Subsequently, it is fine-tuned on 16 clinical cohorts spanning 7 cancer types. This supports various adaptation strategies ranging from zero-shot inference to full-parameter updates, with training methods calibrated based on cohort size.
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