Omics-Based Strategies for Improved Diagnosis and Treatment of Endocrine Hypertension (ENSAT-HT) (Joint with Inserm, University of Torino, University of Padua, University of Glasgow, University of Birmingham, Radboud University Medical Centre, SleekIT Limited and Inserm Transfert)

Keyphrases

1. Endocrine Hypertension 100%
2. Primary Hypertension 88%
3. Machine Learning 64%
4. Hypertension Subtypes 55%
5. Cushing's Syndrome 52%
6. Hypertension 51%
7. Pheochromocytoma 43%
8. Targeted Proteomics 37%
9. Primary Aldosteronism 36%
10. Machine Learning Approach 29%
11. Machine Learning Techniques 25%
12. Hypertensive Patients 21%
13. Functional Paraganglioma 20%
14. Paraganglioma 19%
15. Data-driven Study 18%
16. Research Data Management 18%
17. Nuclear Magnetic Resonance Metabolomics 18%
18. Process-based 18%
19. Clinical Data 18%
20. Longitudinal Cohort 18%
21. Preanalytical Phase 18%
22. Retrospective Data 18%
23. Untargeted 18%
24. Whole Blood 18%
25. Open-source Tools 18%
26. Biological Systems 18%
27. Multi-omics 18%
28. Methylome 18%
29. Multi-omics Analysis 18%
30. Data Platform 18%
31. Identification Method 18%
32. Profile Learning 18%
33. MicroRNA Profile 18%
34. Omics 15%
35. Hypertension Patients 14%
36. MicroRNA 13%
37. Omics Data 12%
38. Circulating microRNA 11%
39. Disease Combination 9%
40. Multi-omics Features 9%
41. Biomedical Studies 9%
42. Patient Stratification 9%
43. Novel Technique 9%
44. Systems Biology 9%
45. High-throughput Omics 9%
46. Precision Medicine 9%
47. Measurement Platform 9%
48. Disease Prediction 9%
49. Predictive Algorithm 9%
50. New Biomarkers 9%
51. Metabolomics 9%
52. Multi-omics Study 9%
53. Proteomics 9%
54. Physiological Function 9%
55. Machine Learning Based 9%
56. Learning Skills 9%
57. Paraganglioma Syndromes 8%
58. Balanced Accuracy 8%
59. Confounding Effect 7%
60. Clinical Datasets 6%
61. Endocrine Disorders 6%
62. MiR-15a 6%
63. Cardiovascular Risk 6%
64. Training Model 6%
65. Quality of Life 6%
66. Treatment Delay 6%
67. Antihypertensive Treatment 6%
68. Secondary Hypertension 6%
69. Metabolic Pattern 6%
70. Hyperaldosteronism 6%
71. Area under the Curve 6%
72. Plasma Samples 5%
73. Small Metabolites 5%
74. Learning Classifiers 5%
75. Hypertension Disease 5%
76. Biomarker Combination 5%