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Christian Pohlkamp

Showing results (1-10 of 12) with videos related to

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Blood Reviews|October 14, 2022
Artificial intelligence in hematological diagnostics: Game changer or gadget?Wencke Walter, Christian Pohlkamp, Manja Meggendorfer, et al.
International Journal of Hematology|September 4, 2025
Sequential occurrence of BCR::ABL1-negative MPN and CML and vice versa: results from a real world cohortKatrin Schweneker, Miriam Lenk, Wolfgang Kern, et al.
The American Journal of Case Reports|January 3, 2026
A Case of VEXAS Syndrome Initially Masked as Myelodysplastic Syndrome: Importance of Marrow Vacuolization and UBA1 Testing: A Case ReportEhsan Shahverdi, Petra Mundmann, Christian Pohlkamp, et al.
PLOS Digital Health|March 15, 2023
Explainable AI identifies diagnostic cells of genetic AML subtypesMatthias Hehr, Ario Sadafi, Christian Matek, et al.
Seminars in Hematology|July 5, 2025
AML diagnostics in the 21st century: Use of AITorsten Haferlach, Jan-Niklas Eckardt, Wencke Walter, et al.
Scientific Data|November 11, 2025
A large expert-annotated single-cell peripheral blood dataset for hematological disease diagnosticsSayedali Shetab Boushehri, Salome Kazeminia, Armin Gruber, et al.
Leukemia|April 29, 2023
AML classification in the year 2023: How to avoid a Babylonian confusion of languagesSandra Huber, Constance Baer, Stephan Hutter, et al.
Blood Advances|March 20, 2026
IDH1 and IDH2 mutated myeloid neoplasms: mutational pattern, clonal hierarchy and the role in AML transformationSandra Huber, Flora Goessweiner, Wencke Walter, et al.
Blood Advances|October 24, 2023
The clinical and genomic landscape of patients with DDX41 variants identified during diagnostic sequencingAnna Maierhofer, Nikita Mehta, Ryan A Chisholm, et al.
Journal of Cancer Research and Clinical Oncology|March 20, 2020
Improved survival in metastatic breast cancer: results from a 20-year study involving 1033 women treated at a single comprehensive cancer centerAnja Welt, Simon Bogner, Marina Arendt, et al.
Pageof 2

Showing results (1-10 of 12) with videos related to

Sort By:
Pageof 2
Blood Reviews|October 14, 2022
Artificial intelligence in hematological diagnostics: Game changer or gadget?Wencke Walter, Christian Pohlkamp, Manja Meggendorfer, et al.
International Journal of Hematology|September 4, 2025
Sequential occurrence of BCR::ABL1-negative MPN and CML and vice versa: results from a real world cohortKatrin Schweneker, Miriam Lenk, Wolfgang Kern, et al.
The American Journal of Case Reports|January 3, 2026
A Case of VEXAS Syndrome Initially Masked as Myelodysplastic Syndrome: Importance of Marrow Vacuolization and UBA1 Testing: A Case ReportEhsan Shahverdi, Petra Mundmann, Christian Pohlkamp, et al.
PLOS Digital Health|March 15, 2023
Explainable AI identifies diagnostic cells of genetic AML subtypesMatthias Hehr, Ario Sadafi, Christian Matek, et al.
Seminars in Hematology|July 5, 2025
AML diagnostics in the 21st century: Use of AITorsten Haferlach, Jan-Niklas Eckardt, Wencke Walter, et al.
Scientific Data|November 11, 2025
A large expert-annotated single-cell peripheral blood dataset for hematological disease diagnosticsSayedali Shetab Boushehri, Salome Kazeminia, Armin Gruber, et al.
Leukemia|April 29, 2023
AML classification in the year 2023: How to avoid a Babylonian confusion of languagesSandra Huber, Constance Baer, Stephan Hutter, et al.
Blood Advances|March 20, 2026
IDH1 and IDH2 mutated myeloid neoplasms: mutational pattern, clonal hierarchy and the role in AML transformationSandra Huber, Flora Goessweiner, Wencke Walter, et al.
Blood Advances|October 24, 2023
The clinical and genomic landscape of patients with DDX41 variants identified during diagnostic sequencingAnna Maierhofer, Nikita Mehta, Ryan A Chisholm, et al.
Journal of Cancer Research and Clinical Oncology|March 20, 2020
Improved survival in metastatic breast cancer: results from a 20-year study involving 1033 women treated at a single comprehensive cancer centerAnja Welt, Simon Bogner, Marina Arendt, et al.
Pageof 2