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British Journal of Haematology
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July 28, 2025
Promises and challenges of artificial intelligence in haematological diagnostics
Jan-Niklas Eckardt, Jan Moritz Middeke
Blood Advances
|
December 8, 2020
Application of machine learning in the management of acute myeloid leukemia: current practice and future prospects
Jan-Niklas Eckardt, Martin Bornhäuser, Karsten Wendt, et al.
Frontiers in Oncology
|
August 1, 2022
Semi-supervised learning in cancer diagnostics
Jan-Niklas Eckardt, Martin Bornhäuser, Karsten Wendt, et al.
British Journal of Haematology
|
November 13, 2025
Artificial intelligence for risk assessment and outcome prediction in malignant haematology
Jan-Niklas Eckardt, Wencke Walter, Jan Moritz Middeke, et al.
Cancers
|
September 28, 2021
Reinforcement Learning for Precision Oncology
Jan-Niklas Eckardt, Karsten Wendt, Martin Bornhäuser, et al.
NPJ Precision Oncology
|
March 23, 2024
Large language models and multimodal foundation models for precision oncology
Daniel Truhn, Jan-Niklas Eckardt, Dyke Ferber, et al.
Studies in Health Technology and Informatics
|
August 23, 2024
Synthetic Data Generation in Hematology - Paving the Way for OMOP and FHIR Integration
Waldemar Hahn, Najia Ahmadi, Katja Hoffmann, et al.
Nature Reviews. Cancer
|
February 20, 2026
Artificial intelligence-generated synthetic data for cancer research and clinical trials
Jan-Niklas Eckardt, Waldemar Hahn, Arsela Prelaj, et al.
Seminars in Hematology
|
July 5, 2025
AML diagnostics in the 21st century: Use of AI
Torsten Haferlach, Jan-Niklas Eckardt, Wencke Walter, et al.
Annals of Hematology
|
January 31, 2025
How I diagnose and treat patients in the pre-fibrotic phase of primary myelofibrosis (pre-PMF) - practical approaches of a German expert panel discussion in 2024
Martin Griesshammer, Haifa Kathrin Al-Ali, Jan-Niklas Eckardt, et al.
Page
of 4
Search research articles
Search
Showing results (1-10 of 37) with videos related to
Sort By:
Page
of 4
British Journal of Haematology
|
July 28, 2025
Promises and challenges of artificial intelligence in haematological diagnostics
Jan-Niklas Eckardt, Jan Moritz Middeke
Blood Advances
|
December 8, 2020
Application of machine learning in the management of acute myeloid leukemia: current practice and future prospects
Jan-Niklas Eckardt, Martin Bornhäuser, Karsten Wendt, et al.
Frontiers in Oncology
|
August 1, 2022
Semi-supervised learning in cancer diagnostics
Jan-Niklas Eckardt, Martin Bornhäuser, Karsten Wendt, et al.
British Journal of Haematology
|
November 13, 2025
Artificial intelligence for risk assessment and outcome prediction in malignant haematology
Jan-Niklas Eckardt, Wencke Walter, Jan Moritz Middeke, et al.
Cancers
|
September 28, 2021
Reinforcement Learning for Precision Oncology
Jan-Niklas Eckardt, Karsten Wendt, Martin Bornhäuser, et al.
NPJ Precision Oncology
|
March 23, 2024
Large language models and multimodal foundation models for precision oncology
Daniel Truhn, Jan-Niklas Eckardt, Dyke Ferber, et al.
Studies in Health Technology and Informatics
|
August 23, 2024
Synthetic Data Generation in Hematology - Paving the Way for OMOP and FHIR Integration
Waldemar Hahn, Najia Ahmadi, Katja Hoffmann, et al.
Nature Reviews. Cancer
|
February 20, 2026
Artificial intelligence-generated synthetic data for cancer research and clinical trials
Jan-Niklas Eckardt, Waldemar Hahn, Arsela Prelaj, et al.
Seminars in Hematology
|
July 5, 2025
AML diagnostics in the 21st century: Use of AI
Torsten Haferlach, Jan-Niklas Eckardt, Wencke Walter, et al.
Annals of Hematology
|
January 31, 2025
How I diagnose and treat patients in the pre-fibrotic phase of primary myelofibrosis (pre-PMF) - practical approaches of a German expert panel discussion in 2024
Martin Griesshammer, Haifa Kathrin Al-Ali, Jan-Niklas Eckardt, et al.
Page
of 4