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Thomas Tassin

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Articles by Thomas Tassin

Prognostic impact of measurable residual disease in AML patients treated frontline with azacitidine and venetoclax: results from the French VENAURA registry

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By Maël Heiblig, Zofia Gross, Amine Belhabri, Urbain Tauveron-Jalenques, Emmanuelle Tavernier, Martin Carré, Adrien Contejean, Clémence Santana, Clément Rocher Verified, Sylvain Lamure, Mauricette Michallet, Jérôme Cornillon, Mathieu Meunier, Natacha Mauz, Ugo Thevenet, Arthur Dony, Grégoire Le Meur, Emmanuel Beillard, Delphine Manzoni, Thomas Tassin, Sarah Huet, Adriana Plesa, Gaspar Requena Aspas, Gian-Matteo Pica, Samy Chraibi, Lucie Coster, Sylvie Tondeur, Serge Carillo, Pascale Flandrin
| Nature Verified
Abstract Measurable residual disease (MRD) is a key prognostic marker in acute myeloid leukemia (AML), but its significance in patients treated with azacitidine and venetoclax (AZA/VEN) outside clinical trials remains unclear. We retrospectively analyzed 220 newly diagnosed AML patients from the French VENAURA registry who achieved composite complete remission and underwent MRD evaluation by multiparametric flow cytometry (MFC, LAIP/LSC) and/or NPM1 RT-qPCR.
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Multicentric data challenge for artificial intelligence-based classification of leukocytes: results from the CytologIA consortium

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By Elise Sourdeau, Franck Genevieve, Lucile Baseggio, Bouchra Badaoui, Charles H. Chevalier, Alexandre Janel, Ahmadreza Arbab, Laurent Weinmann, Camille Debord, Patrick Cohen, Sandrine Girard, Frederique Dubois, Véronique Baccini, Pierre Lemaire, Yaël Berda-Haddad, Thomas Tassin, Soufiane Z. Azdad, Naama BAK, Paul Steffen, Valérie Bardet, Thomas Boyer, Mélanie Pannetier, Agathe Maillon, Anne-Camille Faure, Samy Dahmani, Lauriane Armand, Agathe Delaune, Eric Ben Hamou
| Nature Verified
Abstract Accurate morphological classification of blood leukocytes remains a cornerstone of hematological diagnostics but still relies on manual expertise, leading to variability across laboratories. The CytologIA data challenge was organized to benchmark artificial intelligence (AI) models for automated classification of normal and pathological leukocytes from peripheral blood smears.
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Optimizing Wilms tumor 1 thresholds for measurable residual disease monitoring in acute myeloid leukemia: Improved sensitivity and concordance with nucleophosmin 1 in a single‐center validation study

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By Sabrina Barriere, Céline Bourgne, Thomas Tassin, Anais Establie
| Wiley Online Library Verified
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Cytopenias revealing a case of carcinocythemia with bone marrow metastasis

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By Thomas Tassin, Benjamin Lebecque
| Wiley Online Library Verified
Use the link below to share a full-text version of this article with your friends and colleagues. Learn more. I have read and accept the Wiley Online Library Terms and Conditions of Use I have read and accept the Wiley Online Library Terms and Conditions of Use There are not any competing financial interests in relation to the work described. Data sharing not applicable to this article as no data sets were generated or analyzed during the current study. • , , , et al.
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