46 results on '"Eckardt, Jan-Niklas"'
Search Results
2. Large language models and multimodal foundation models for precision oncology
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
16. Deep learning detects acute myeloid leukemia and predicts NPM1 mutation status from bone marrow smears
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. 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
26. Semi-supervised learning in cancer diagnostics
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
33. Reinforcement Learning for Precision Oncology
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
38. Automated Preselection of Regions of Interest By Deep Learning Facilitates Rapid Whole Slide Image Analysis of Bone Marrow Smears
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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