361 results on '"Akarca, Ayse"'
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2. Mitochondrial dsRNA from B-ALL cells stimulates mesenchymal stromal cells to become cancer-associated fibroblasts
3. Self-supervised deep learning for highly efficient spatial immunophenotyping
4. ConCORDe-Net: Cell Count Regularized Convolutional Neural Network for Cell Detection in Multiplex Immunohistochemistry Images
5. Integrated phenotyping of the anti-cancer immune response in HIV-associated hepatocellular carcinoma
6. DeepMIF: Deep Learning Based Cell Profiling for Multispectral Immunofluorescence Images with Graphical User Interface
7. Self-supervised Antigen Detection Artificial Intelligence (SANDI)
8. Thyroid MALT lymphoma: self-harm to gain potential T-cell help
9. Self-supervised Antigen Detection Artificial Intelligence (SANDI)
10. Single-cell profiling of myasthenia gravis identifies a pathogenic T cell signature
11. Cancer Associated Bacteria in Primary and Metastatic Non-Small Cell Lung Cancer
12. Geospatial immune variability illuminates differential evolution of lung adenocarcinoma
13. CD25-Treg-depleting antibodies preserving IL-2 signaling on effector T cells enhance effector activation and antitumor immunity
14. Activated stromal cells transfer mitochondria to rescue acute lymphoblastic leukemia cells from oxidative stress
15. Microenvironmental immune cell alterations across the spectrum of nodular lymphocyte predominant Hodgkin lymphoma and T-cell/histiocyte-rich large B-cell lymphoma
16. Novel markers in pediatric-type follicular lymphoma
17. Clinical implications of heterogeneity in PD-L1 immunohistochemical detection in hepatocellular carcinoma: the Blueprint-HCC study
18. Circulating tumour cells and their association with bone metastases in patients with neuroendocrine tumours
19. Impact of MYC and BCL2 double expression on outcomes in primary CNS lymphoma: a UK multicenter analysis
20. Mitochondrial dsRNA from B-ALL cells stimulates mesenchymal stromal cells to become cancer associated fibroblasts
21. ABCL-184 Impact of MYC and BCL2 Double Expression on Outcomes in Primary CNS Lymphoma: A UK Multicenter Analysis
22. POSTER: ABCL-184 Impact of MYC and BCL2 Double Expression on Outcomes in Primary CNS Lymphoma: A UK Multicenter Analysis
23. Correction to: Immune landscape in Burkitt lymphoma reveals M2-macrophage polarization and correlation between PD-L1 expression and non-canonical EBV latency program
24. Immune landscape in Burkitt lymphoma reveals M2-macrophage polarization and correlation between PD-L1 expression and non-canonical EBV latency program
25. ConCORDe-Net: Cell Count Regularized Convolutional Neural Network for Cell Detection in Multiplex Immunohistochemistry Images
26. Correction to: Single‑cell profiling of myasthenia gravis identifies a pathogenic T cell signature
27. Granulysin, a novel marker for extranodal NK/T cell lymphoma, nasal type
28. CD47 expression in acute myeloid leukemia varies according to genotype
29. Phenotyping of lymphoproliferative tumours generated in xenografts of non-small cell lung cancer
30. Figure 5 from Spatial Positioning of Immune Hotspots Reflects the Interplay between B and T Cells in Lung Squamous Cell Carcinoma
31. Figure 2 from Spatial Positioning of Immune Hotspots Reflects the Interplay between B and T Cells in Lung Squamous Cell Carcinoma
32. Table 1 from Spatial Positioning of Immune Hotspots Reflects the Interplay between B and T Cells in Lung Squamous Cell Carcinoma
33. Supplementary Data from Spatial Positioning of Immune Hotspots Reflects the Interplay between B and T Cells in Lung Squamous Cell Carcinoma
34. Figure 4 from Spatial Positioning of Immune Hotspots Reflects the Interplay between B and T Cells in Lung Squamous Cell Carcinoma
35. Table S1 from Spatial Positioning of Immune Hotspots Reflects the Interplay between B and T Cells in Lung Squamous Cell Carcinoma
36. Data from Spatial Positioning of Immune Hotspots Reflects the Interplay between B and T Cells in Lung Squamous Cell Carcinoma
37. Figure 6 from Spatial Positioning of Immune Hotspots Reflects the Interplay between B and T Cells in Lung Squamous Cell Carcinoma
38. Figure 1 from Spatial Positioning of Immune Hotspots Reflects the Interplay between B and T Cells in Lung Squamous Cell Carcinoma
39. Figure 3 from Spatial Positioning of Immune Hotspots Reflects the Interplay between B and T Cells in Lung Squamous Cell Carcinoma
40. Table S2 from Immune Surveillance in Clinical Regression of Preinvasive Squamous Cell Lung Cancer
41. Data from Immune Surveillance in Clinical Regression of Preinvasive Squamous Cell Lung Cancer
42. Data from ADCT-301, a Pyrrolobenzodiazepine (PBD) Dimer–Containing Antibody–Drug Conjugate (ADC) Targeting CD25-Expressing Hematological Malignancies
43. Supplemental Figure 5 from ADCT-301, a Pyrrolobenzodiazepine (PBD) Dimer–Containing Antibody–Drug Conjugate (ADC) Targeting CD25-Expressing Hematological Malignancies
44. Data from Induction of APOBEC3 Exacerbates DNA Replication Stress and Chromosomal Instability in Early Breast and Lung Cancer Evolution
45. Supplemental Figure 3 from ADCT-301, a Pyrrolobenzodiazepine (PBD) Dimer–Containing Antibody–Drug Conjugate (ADC) Targeting CD25-Expressing Hematological Malignancies
46. Supplementary Data from Immune Surveillance in Clinical Regression of Preinvasive Squamous Cell Lung Cancer
47. Supplementary Figure 4 from Induction of APOBEC3 Exacerbates DNA Replication Stress and Chromosomal Instability in Early Breast and Lung Cancer Evolution
48. TRACERx Consortium Members from Induction of APOBEC3 Exacerbates DNA Replication Stress and Chromosomal Instability in Early Breast and Lung Cancer Evolution
49. Supplemental Figure 7 from ADCT-301, a Pyrrolobenzodiazepine (PBD) Dimer–Containing Antibody–Drug Conjugate (ADC) Targeting CD25-Expressing Hematological Malignancies
50. Supplementary Figure 2 from Induction of APOBEC3 Exacerbates DNA Replication Stress and Chromosomal Instability in Early Breast and Lung Cancer Evolution
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