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Your search keyword '"Danielsen, Håvard E."' showing total 121 results

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121 results on '"Danielsen, Håvard E."'

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2. Deep learning for automated scoring of immunohistochemically stained tumour tissue sections – Validation across tumour types based on patient outcomes

5. Molecular circuit involving KLK4 integrates androgen and mTOR signaling in prostate cancer

7. The Essentials of Multiomics

8. Stromal composition predicts recurrence of early rectal cancer after local excision

10. PTEN and DNA Ploidy Status by Machine Learning in Prostate Cancer

11. STAMP2 increases oxidative stress and is critical for prostate cancer

12. Essentials of Multiomics.

14. Breast cancer metastasis: immune profiling of lymph nodes reveals exhaustion of effector T cells and immunosuppression.

17. Large expert-curated database for benchmarking document similarity detection in biomedical literature search

19. Tumour heterogeneity poses a significant challenge to cancer biomarker research.

23. Chromatin changes predict recurrence after radical prostatectomy.

24. Changes in Chromatin Structure in Curettage Specimens Identifies High-Risk Patients in Endometrial Cancer

26. Increased passive stiffness promotes diastolic dysfunction despite improved Ca2+ handling during left ventricular concentric hypertrophy.

27. Familial/Bilateral and Sporadic Testicular Germ Cell Tumors Show Frequent Genetic Changes at Loci with Suggestive Linkage Evidence1

32. Identification of p53 as a strong predictor of survival for patients with malignant peripheral nerve sheath tumors

41. Large scale genomic instability as an additive prognostic marker in early prostate cancer.

42. Prognostic value of adaptive textural features – The effect of standardizing nuclear first-order gray level statistics and mixing information from nuclei having different area.

45. Synovial sarcoma. Evaluation of prognosis with emphasis on the study of DNA ploidy and proliferation (PCNA and Ki-67) markers.

46. Deep learning for automated scoring of immunohistochemically stained tumour tissue sections - Validation across tumour types based on patient outcomes.

47. Accounting for intensity variation in image analysis of large-scale multiplexed clinical trial datasets.

48. Automated assessment of CD8 + T-lymphocytes and stroma fractions complement conventional staging of colorectal cancer.

49. [Properties of cancer cell DNA affects the prognosis].

50. Changes in Chromatin Structure in Curettage Specimens Identifies High-Risk Patients in Endometrial Cancer.

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