The Institute for Future Health: A New ASU-UA Joint Venture in Biomedical Innovation & The Need to Evolve a State-Wide, Multi-Institutional Network of Excellence in Precision Medicine and Digital Medicine

Keyphrases

1. Digital Medicine 100%
2. Network of Excellence 100%
3. Institutional Networks 100%
4. Biomedical Innovation 100%
5. Multi-institutional 100%
6. Arizona 100%
7. Precision Medicine 100%
8. Future Health 100%
9. Health Care Delivery 45%
10. Target Firms 36%
11. Biomedical Industry 27%
12. New Joint 27%
13. Disruptive Forces 18%
14. Industry Investment 18%
15. Patient Health 18%
16. Biomedicine 18%
17. Science Foundation 18%
18. Telemedicine 18%
19. Cross-sectoral 18%
20. Remote Monitoring 18%
21. Remote Patient Monitoring 18%
22. Academic Research 18%
23. Best Matches 18%
24. Start-up Companies 18%
25. Building Scale 18%
26. Clinical Trials 18%
27. Phoenix 18%
28. Big Data Stream 9%
29. Voice Analysis 9%
30. Entrepreneurial Startups 9%
31. Corporate R&D 9%
32. Media Vehicle 9%
33. Recognition Analysis 9%
34. Project Management Capability 9%
35. Joint Enterprise 9%
36. Clinical Deterioration 9%
37. Clinical Specialty 9%
38. Coexisting Disease 9%
39. Joint Task Force 9%
40. Large-scale Data Analytics 9%
41. Disciplinary Expertise 9%
42. Novartis 9%
43. Fujitsu 9%
44. Psychiatric Illness 9%
45. Competitive Location 9%
46. Workdays Lost 9%
47. Telemedicine Network 9%
48. Clinical Medicine 9%
49. Complex Treatment 9%
50. Strategic Principles 9%
51. Clinical Engineering 9%
52. Requisite Skills 9%
53. New Competencies 9%
54. Medical Computing 9%
55. Competitive Intelligence 9%
56. Scientific Specialty 9%
57. Digital Healthcare Services 9%
58. Health Sciences 9%
59. Patient Treatment 9%
60. Small Units 9%
61. Innovation Networks 9%
62. Vice President 9%
63. Table of Contents 9%
64. Treatment Regimen 9%
65. Google 9%
66. Strategic Analysis 9%
67. Systems-based 9%
68. Biopharmaceuticals 9%
69. Big Data Processing 9%
70. Internal R&D 9%
71. Wearable Sensors 9%
72. Health Care Delivery System 9%
73. Hospitalization 9%
74. Healthcare 9%
75. Siemens 9%
76. Healthcare Industry 9%
77. Computing Machines 9%
78. Regent 9%
79. Combination Products 9%
80. R&D Programs 9%
81. Elderly People 9%
82. Advanced Computing 9%
83. Cultural Factors 9%
84. Early Detection 9%
85. Knowledge Base 9%
86. Organizational Factors 9%
87. Life Sciences 9%
88. Market Sector 9%
89. Health Records 9%
90. Corporate Objective 9%
91. Second Category 9%
92. Access to Care 9%
93. Hitachi 9%
94. Technology Advancement 9%
95. Clinical Care 9%
96. Digital Platforms 9%
97. Research Capability 9%
98. Metro 9%
99. Funding Sources 9%
100. Healthcare Facilities 9%
101. Decision Maker 9%
102. Healthcare Data 9%
103. Healthcare Professionals 9%
104. Intelligence Learning 9%
105. Related Components 9%
106. Individual Company 9%
107. Cognitive Computing 9%
108. Transformative Innovation 9%
109. Robotics 9%
110. University Startups 9%
111. Facial Recognition 9%
112. Public Sector 9%
113. Future of Health Care 9%
114. Health Innovation 9%
115. Success Indicators 9%
116. Amazon 9%
117. Interdisciplinary Skills 9%
118. Medication Adherence 9%
119. Diagnostic Tool 9%
120. Single Domain 9%
121. Network Activity 9%
122. Third Component 9%
123. Clinical Goals 9%
124. Operational Objectives 9%
125. Multimedia 9%
126. Machine Learning 9%
127. Persons with Mental Illness 9%
128. Improving Patient Care 9%
129. Intelligence Analysis 9%
130. Artificial Intelligence 9%
131. Synergistic Cooperation 9%
132. Rapid Progress 9%
133. Arizona State University 9%
134. Suicide Risk 9%
135. In-home 9%
136. Medical School 9%