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381 results on '"Alexopoulos, Leonidas G"'

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1. Predicting disease severity in multiple sclerosis using multimodal data and machine learning

7. Cadherin-11, Sparc-related modular calcium binding protein-2, and Pigment epithelium-derived factor are promising non-invasive biomarkers of kidney fibrosis

8. MAPK pathway and B cells overactivation in multiple sclerosis revealed by phosphoproteomics and genomic analysis

10. Prediction of combination therapies based on topological modeling of the immune signaling network in multiple sclerosis

13. Multiscale networks in multiple sclerosis

14. Predicting disease severity in multiple sclerosis using multimodal data and machine learning

16. Selective cytotoxicity of the herbal substance acteoside against tumor cells and its mechanistic insights

21. Α Humanized RANKL Transgenic Mouse Model of Progestin-Induced Mammary Carcinogenesis for Evaluation of Novel Therapeutics

27. Targeted Proteomic Analysis of Patients with Ascending Thoracic Aortic Aneurysm

37. Immuno-Modulatory Effects of Intervertebral Disc Cells

39. Epicardial Adipocyte-derived TNF-α Modulates Local Inflammation in Patients with Advanced Coronary Artery Disease

42. Cadherin-11, Sparc-related modular calcium binding protein-2, and Pigment epithelium-derived factor are promising non-invasive biomarkers of kidney fibrosis

44. Mechanical Compression Regulates Brain Cancer Cell Migration Through MEK1/Erk1 Pathway Activation and GDF15 Expression

45. Additional file 2 of Prediction of combination therapies based on topological modeling of the immune signaling network in multiple sclerosis

46. Additional file 3 of Prediction of combination therapies based on topological modeling of the immune signaling network in multiple sclerosis

47. Additional file 1 of Prediction of combination therapies based on topological modeling of the immune signaling network in multiple sclerosis

48. Stress-induced inflammation evoked by immunogenic cell death is blunted by the IRE1α kinase inhibitor KIRA6 through HSP60 targeting

49. Prediction of combination therapies based on topological modeling of the immune signaling network in multiple sclerosis

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