AI RESEARCH
SAGE: Agentic Framework for Interpretable and Clinically Translatable Computational Pathology Biomarker Discovery
arXiv CS.LG
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ArXi:2602.00953v2 Announce Type: replace Engineered image-based biomarkers offer a clinically interpretable alternative to black-box AI in computational pathology, yet their discovery remains largely intuition-driven, guided by fragmented literature rather than rigorous biological validation. We