Author

B. D. de Senneville

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#machine learning Preprint Sep 2026

Interpretable Multi-Instance Learning Enables Early Prediction of Key Molecular Alterations from Routine Flow Cytometry in Acute Myeloid Leukemia

Background: Molecular testing for NPM1 and FLT3-ITD mutations guides critical early treatment decisions in acute myeloid leukemia (AML), but results can take weeks, long after these decisions must be made. Flow cytometry, already performed within hours of admission as part of routine care, may carry enough signal to pr...

Jonathan Legrand, Aguirre Mimoun, B. D. de Senneville et al. · 0 citations