41 results on '"Eckardt, Jan-Niklas"'
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2. The Multi-modality Cell Segmentation Challenge: Towards Universal Solutions
3. How to customize common data models for rare diseases: an OMOP-based implementation and lessons learned
4. Large language models and multimodal foundation models for precision oncology
5. Mimicking clinical trials with synthetic acute myeloid leukemia patients using generative artificial intelligence
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. Deep learning detects acute myeloid leukemia and predicts NPM1 mutation status from bone marrow smears
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
16. Differential impact of IDH1/2 mutational subclasses on outcome in adult AML: results from a large multicenter study
17. Impact of PTPN11 mutations on clinical outcome analyzed in 1529 patients with acute myeloid leukemia
18. Application of machine learning in the management of acute myeloid leukemia: current practice and future prospects
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. Die kommende Entwicklung großer Sprachmodelle in der Medizin.
23. S138: VALIDATION OF THE REVISED 2022 EUROPEAN LEUKEMIANET (ELN) RISK STRATIFICATION IN ADULT PATIENTS WITH ACUTE MYELOID LEUKEMIA
24. Mutated IKZF1is an independent marker of adverse risk in acute myeloid leukemia
25. Semi-supervised learning in cancer diagnostics
26. Prediction of complete remission and survival in acute myeloid leukemia using supervised machine learning
27. Additional file 1 of Molecular profiling and clinical implications of patients with acute myeloid leukemia and extramedullary manifestations
28. Prediction of Complete Remission and Survival in Acute Myeloid Leukemia Using Supervised Machine Learning
29. Reinforcement Learning for Precision Oncology
30. Deep learning detects acute myeloid leukemia and predicts NPM1 mutation status from bone marrow smears
31. Secondary-type mutations do not impact outcome in NPM1-mutated acute myeloid leukemia – implications for the European leukemia net risk classification
32. Loss-of-function mutations of bcor are an independent marker of adverse outcomes in intensively treated patients with acute myeloid leukemia
33. Loss-of-Function Mutations of BCOR Are an Independent Marker of Adverse Outcomes in Intensively Treated Patients with Acute Myeloid Leukemia
34. Impact of PTPN11mutations on clinical outcome analyzed in 1529 patients with acute myeloid leukemia
35. Deep learning detects acute myeloid leukemia and predicts NPM1mutation status from 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
38. Explainable End-to-End Supervised Learning Identifies Myelodysplastic Neoplasms in Bone Marrow Smears
39. Automated Preselection of Regions of Interest By Deep Learning Facilitates Rapid Whole Slide Image Analysis of Bone Marrow Smears
40. Differential impact of IDH1/2mutational subclasses on outcome in adult AML: Results from a large multicenter study
41. Prediction of complete remission and survival in acute myeloid leukemia using supervised machine learning.
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