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Hepatology (Baltimore, Md.)|February 29, 2020
Predicting Survival After Hepatocellular Carcinoma Resection Using Deep Learning on Histological SlidesCharlie Saillard, Benoit Schmauch, Oumeima Laifa, et al.Nature Communications|November 27, 2025
A deep learning-based multiscale integration of spatial omics with tumor morphologyBenoît Schmauch, Loïc Herpin, Antoine Olivier, et al.Communications Biology|February 4, 2022
Macrophage migration inhibitory factor is overproduced through EGR1 in TET2low resting monocytesElodie Pronier, Aygun Imanci, Dorothée Selimoglu-Buet, et al.Nature Communications|August 19, 2016
Genetic hierarchy and temporal variegation in the clonal history of acute myeloid leukaemiaPierre Hirsch, Yanyan Zhang, Ruoping Tang, et al.Blood|July 8, 2011
Inhibition of TET2-mediated conversion of 5-methylcytosine to 5-hydroxymethylcytosine disturbs erythroid and granulomonocytic differentiation of human hematopoietic progenitorsElodie Pronier, Carole Almire, Hayat Mokrani, et al.Cell Reports|December 9, 2014
DNA hydroxymethylation profiling reveals that WT1 mutations result in loss of TET2 function in acute myeloid leukemiaRaajit Rampal, Altuna Alkalin, Jozef Madzo, et al.Iscience|January 27, 2025
Deep learning uncovers histological patterns of YAP1/TEAD activity related to disease aggressiveness in cancer patientsBenoit Schmauch, Vincent Cabeli, Omar Darwiche Domingues, et al.Nature Communications|January 28, 2021
Integrating deep learning CT-scan model, biological and clinical variables to predict severity of COVID-19 patientsNathalie Lassau, Samy Ammari, Emilie Chouzenoux, et al.Nature Medicine|November 15, 2016
DNMT3A mutations promote anthracycline resistance in acute myeloid leukemia via impaired nucleosome remodelingOlga A Guryanova, Kaitlyn Shank, Barbara Spitzer, et al.Pageof 2