Molecular Translators as a Computational Primitive for Biomarker Discovery: Learnability Gains Under Conserved Information Ceilings (opens in new tab)

Virtual molecular mapping systems such as MISO and GigaTIME introduce a potentially transformative primitive in computational pathology: translation of H&E whole-slide images into biologically structured molecular representations, learned on paired cohorts and deployed as an inference-time map. Despite sustained progress in machine learning, H&E-to-molecular-biomarker (e.g., gene mutation) prediction continues to exhibit recurrent field-level performance plateaus whose drivers remain poorly r...