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Alexander Höllein

Showing results (1-10 of 16) with videos related to

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Hemasphere|November 15, 2019
Molecular characterization of AML with <i>RUNX1-RUNX1T1</i> at diagnosis and relapse reveals net loss of co-mutationsAlexander Höllein, Niroshan Nadarajah, Manja Meggendorfer, et al.
Leukemia|March 24, 2018
Minimal residual disease (MRD) monitoring and mutational landscape in AML with RUNX1-RUNX1T1: a study on 134 patientsAlexander Höllein, Sabine Jeromin, Manja Meggendorfer, et al.
Blood Advances|November 21, 2018
<i>NPM1</i> mutated AML can relapse with wild-type <i>NPM1</i>: persistent clonal hematopoiesis can drive relapseAlexander Höllein, Manja Meggendorfer, Frank Dicker, et al.
Acta Oncologica (Stockholm, Sweden)|January 5, 2021
Characteristics and outcomes of patients with cancer and COVID-19: results from a cohort studyAlexander Höllein, Peter Bojko, Sebastian Schulz, et al.
Leukemia|November 14, 2019
Molecular characterization of a second myeloid neoplasm developing after treatment for acute myeloid leukemiaLuise Hartmann, Niroshan Nadarajah, Manja Meggendorfer, et al.
Leukemia|June 19, 2019
DNMT3A mutations are over-represented in young adults with NPM1 mutated AML and prompt a distinct co-mutational patternLuca Vincenzo Cappelli, Manja Meggendorfer, Frank Dicker, et al.
Cytometry. Part a : the Journal of the International Society for Analytical Cytology|June 11, 2020
Hematologist-Level Classification of Mature B-Cell Neoplasm Using Deep Learning on Multiparameter Flow Cytometry DataMax Zhao, Nanditha Mallesh, Alexander Höllein, et al.
Leukemia|August 11, 2021
Indeterminate and oncogenic potential: CHIP vs CHOP mutations in AML with NPM1 alterationLuca Vincenzo Cappelli, Manja Meggendorfer, Constance Baer, et al.
Cancer Genetics|January 26, 2020
The combination of WGS and RNA-Seq is superior to conventional diagnostic tests in multiple myeloma: Ready for prime time?Alexander Höllein, Sven O Twardziok, Wencke Walter, et al.
Patterns (New York, N.Y.)|October 25, 2021
Knowledge transfer to enhance the performance of deep learning models for automated classification of B cell neoplasmsNanditha Mallesh, Max Zhao, Lisa Meintker, et al.
Pageof 2

Showing results (1-10 of 16) with videos related to

Sort By:
Pageof 2
Hemasphere|November 15, 2019
Molecular characterization of AML with <i>RUNX1-RUNX1T1</i> at diagnosis and relapse reveals net loss of co-mutationsAlexander Höllein, Niroshan Nadarajah, Manja Meggendorfer, et al.
Leukemia|March 24, 2018
Minimal residual disease (MRD) monitoring and mutational landscape in AML with RUNX1-RUNX1T1: a study on 134 patientsAlexander Höllein, Sabine Jeromin, Manja Meggendorfer, et al.
Blood Advances|November 21, 2018
<i>NPM1</i> mutated AML can relapse with wild-type <i>NPM1</i>: persistent clonal hematopoiesis can drive relapseAlexander Höllein, Manja Meggendorfer, Frank Dicker, et al.
Acta Oncologica (Stockholm, Sweden)|January 5, 2021
Characteristics and outcomes of patients with cancer and COVID-19: results from a cohort studyAlexander Höllein, Peter Bojko, Sebastian Schulz, et al.
Leukemia|November 14, 2019
Molecular characterization of a second myeloid neoplasm developing after treatment for acute myeloid leukemiaLuise Hartmann, Niroshan Nadarajah, Manja Meggendorfer, et al.
Leukemia|June 19, 2019
DNMT3A mutations are over-represented in young adults with NPM1 mutated AML and prompt a distinct co-mutational patternLuca Vincenzo Cappelli, Manja Meggendorfer, Frank Dicker, et al.
Cytometry. Part a : the Journal of the International Society for Analytical Cytology|June 11, 2020
Hematologist-Level Classification of Mature B-Cell Neoplasm Using Deep Learning on Multiparameter Flow Cytometry DataMax Zhao, Nanditha Mallesh, Alexander Höllein, et al.
Leukemia|August 11, 2021
Indeterminate and oncogenic potential: CHIP vs CHOP mutations in AML with NPM1 alterationLuca Vincenzo Cappelli, Manja Meggendorfer, Constance Baer, et al.
Cancer Genetics|January 26, 2020
The combination of WGS and RNA-Seq is superior to conventional diagnostic tests in multiple myeloma: Ready for prime time?Alexander Höllein, Sven O Twardziok, Wencke Walter, et al.
Patterns (New York, N.Y.)|October 25, 2021
Knowledge transfer to enhance the performance of deep learning models for automated classification of B cell neoplasmsNanditha Mallesh, Max Zhao, Lisa Meintker, et al.
Pageof 2