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1. How to customize common data models for rare diseases: an OMOP-based implementation and lessons learned

3. Mimicking clinical trials with synthetic acute myeloid leukemia patients using generative artificial intelligence

4. The Multi-modality Cell Segmentation Challenge: Towards Universal Solutions

5. The multimodality cell segmentation challenge: toward universal solutions

6. Mutated IKZF1 is an independent marker of adverse risk in acute myeloid leukemia

7. Secondary-type mutations do not impact outcome in NPM1-mutated acute myeloid leukemia – implications for the European LeukemiaNet risk classification

8. An overview and a roadmap for artificial intelligence in hematology and oncology

9. The future landscape of large language models in medicine

10. UBTF tandem duplications are rare but recurrent alterations in adult AML and associated with younger age, myelodysplasia, and inferior outcome

11. Unsupervised meta-clustering identifies risk clusters in acute myeloid leukemia based on clinical and genetic profiles

12. Alterations of cohesin complex genes in acute myeloid leukemia: differential co-mutations, clinical presentation and impact on outcome

13. Differential impact of IDH1/2 mutational subclasses on outcome in adult AML: results from a large multicenter study

14. Deep learning identifies Acute Promyelocytic Leukemia in bone marrow smears

15. Molecular profiling and clinical implications of patients with acute myeloid leukemia and extramedullary manifestations

17. Impact of PTPN11 mutations on clinical outcome analyzed in 1529 patients with acute myeloid leukemia

19. Synthetic Data Generation in Hematology - Paving the Way for OMOP and FHIR Integration.

20. How to customize Common Data Models for rare diseases: an OMOP-based implementation and lessons learned

21. Mimicking Clinical Trials with Synthetic Acute Myeloid Leukemia Patients Using Generative Artificial Intelligence

22. S138: VALIDATION OF THE REVISED 2022 EUROPEAN LEUKEMIANET (ELN) RISK STRATIFICATION IN ADULT PATIENTS WITH ACUTE MYELOID LEUKEMIA

23. Die kommende Entwicklung großer Sprachmodelle in der Medizin

24. An overview and a roadmap for artificial intelligence in hematology and oncology

25. Mutated IKZF1is an independent marker of adverse risk in acute myeloid leukemia

27. Prediction of complete remission and survival in acute myeloid leukemia using supervised machine learning

28. Deep learning identifies Acute Promyelocytic Leukemia in bone marrow smears

29. Molecular profiling and clinical implications of patients with acute myeloid leukemia and extramedullary manifestations

30. Differential impact of IDH1/2 mutational subclasses on outcome in adult AML: results from a large multicenter study

31. Additional file 1 of Molecular profiling and clinical implications of patients with acute myeloid leukemia and extramedullary manifestations

32. Prediction of Complete Remission and Survival in Acute Myeloid Leukemia Using Supervised Machine Learning

34. Deep learning detects acute myeloid leukemia and predicts NPM1 mutation status from bone marrow smears

35. Explainable End-to-End Supervised Learning Identifies Myelodysplastic Neoplasms in Bone Marrow Smears

36. Mimicking Clinical Trials with Synthetic Acute Myeloid Leukemia Patients Using Generative Artificial Intelligence

37. Secondary-Type Mutations Do Not Impact the Favorable Outcome of NPM1-Mutated Acute Myeloid Leukemia Patients - Results from a Large Cohort of Intensively Treated Patients

39. Loss-of-function mutations of bcor are an independent marker of adverse outcomes in intensively treated patients with acute myeloid leukemia

40. Loss-of-Function Mutations of BCOR Are an Independent Marker of Adverse Outcomes in Intensively Treated Patients with Acute Myeloid Leukemia

41. Secondary-type mutations do not impact outcome in NPM1-mutated acute myeloid leukemia – implications for the European leukemia net risk classification

42. Impact of PTPN11mutations on clinical outcome analyzed in 1529 patients with acute myeloid leukemia

43. Deep learning detects acute myeloid leukemia and predicts NPM1mutation status from bone marrow smears

44. VALIDATION OF THE REVISED 2022 EUROPEAN LEUKEMIANET RISK STRATIFICATION IN ADULT PATIENTS WITH ACUTE MYELOID LEUKEMIA

45. Differential impact of IDH1/2mutational subclasses on outcome in adult AML: Results from a large multicenter study

46. Prediction of complete remission and survival in acute myeloid leukemia using supervised machine learning.

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