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Nicolas Freynet

Showing results (1-10 of 8) with videos related to

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Diagnostics (Basel, Switzerland)|July 27, 2022
Automated Detection of Dysplasia: Data Mining from Our Hematology AnalyzersJaja Zhu, Sylvain Clauser, Nicolas Freynet, et al.
Cytometry. Part B, Clinical Cytometry|November 7, 2017
High sensitivity of the Hematoflow™ solution for chronic myelomonocytic leukemia screeningRomain Vazquez, Mikael Roussel, Bouchra Badaoui, et al.
American Journal of Clinical Pathology|November 2, 2018
Reference Values for WBC Differential by Hematoflow AnalysisMarion Magierowicz, Nicolas Lechevalier, Nicolas Freynet, et al.
The Lancet. Digital Health|April 26, 2024
Evaluation of a machine-learning model based on laboratory parameters for the prediction of acute leukaemia subtypes: a multicentre model development and validation study in FranceVincent Alcazer, Grégoire Le Meur, Marie Roccon, et al.
Haematologica|February 1, 2015
Multicentric study underlining the interest of adding CD5, CD7 and CD56 expression assessment to the flow cytometric Ogata score in myelodysplastic syndromes and myelodysplastic/myeloproliferative neoplasmsValérie Bardet, Orianne Wagner-Ballon, Julien Guy, et al.
Leukemia|October 7, 2021
Machine learning identifies the independent role of dysplasia in the prediction of response to chemotherapy in AMLMatthieu Duchmann, Orianne Wagner-Ballon, Thomas Boyer, et al.
The Lancet. Haematology|June 4, 2026
Prediction of bone marrow fibrosis from complete blood count in myeloproliferative neoplasms (FIBOM-AI): a multicentre machine learning model development and validation studyMarie Donzel, Syrine Khedimallah, Sabrina Barriere, et al.
Blood Advances|December 24, 2019
How should we diagnose and treat blastic plasmacytoid dendritic cell neoplasm patients?Francine Garnache-Ottou, Chrystelle Vidal, Sabeha Biichlé, et al.
Pageof 1

Showing results (1-10 of 8) with videos related to

Sort By:
Pageof 1
Diagnostics (Basel, Switzerland)|July 27, 2022
Automated Detection of Dysplasia: Data Mining from Our Hematology AnalyzersJaja Zhu, Sylvain Clauser, Nicolas Freynet, et al.
Cytometry. Part B, Clinical Cytometry|November 7, 2017
High sensitivity of the Hematoflow™ solution for chronic myelomonocytic leukemia screeningRomain Vazquez, Mikael Roussel, Bouchra Badaoui, et al.
American Journal of Clinical Pathology|November 2, 2018
Reference Values for WBC Differential by Hematoflow AnalysisMarion Magierowicz, Nicolas Lechevalier, Nicolas Freynet, et al.
The Lancet. Digital Health|April 26, 2024
Evaluation of a machine-learning model based on laboratory parameters for the prediction of acute leukaemia subtypes: a multicentre model development and validation study in FranceVincent Alcazer, Grégoire Le Meur, Marie Roccon, et al.
Haematologica|February 1, 2015
Multicentric study underlining the interest of adding CD5, CD7 and CD56 expression assessment to the flow cytometric Ogata score in myelodysplastic syndromes and myelodysplastic/myeloproliferative neoplasmsValérie Bardet, Orianne Wagner-Ballon, Julien Guy, et al.
Leukemia|October 7, 2021
Machine learning identifies the independent role of dysplasia in the prediction of response to chemotherapy in AMLMatthieu Duchmann, Orianne Wagner-Ballon, Thomas Boyer, et al.
The Lancet. Haematology|June 4, 2026
Prediction of bone marrow fibrosis from complete blood count in myeloproliferative neoplasms (FIBOM-AI): a multicentre machine learning model development and validation studyMarie Donzel, Syrine Khedimallah, Sabrina Barriere, et al.
Blood Advances|December 24, 2019
How should we diagnose and treat blastic plasmacytoid dendritic cell neoplasm patients?Francine Garnache-Ottou, Chrystelle Vidal, Sabeha Biichlé, et al.
Pageof 1