Glyph: An Interpretability Engine for AI-Driven Scientific Discovery in Clinical Data
arXiv cs.AI · Robbie Holland, Ashwin Kumar, Mateus A. Esmeraldo, David Le, Andrea Fisher, Jiazhen Pan, Louisa Fay, Magdalini Paschali, Vasiliki Sideri-Lampretsa, Ates Fettahoglu, Stefania Moroianu, Philipp Wesp, Iv ·
arXiv:2611.08922v1 Announce Type: new Abstract: Automated scientific discovery has the potential to advance understanding of disease mechanisms and accelerate identification of early disease markers. Manual data annotation is infeasible at population scale, motivating methods that automatically extract pre-defined…
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