Full Description
Modern mental health issues are characterized by their complex, multi-systemic nature and broad societal impact, making them poorly suited to siloed approaches of thinking and innovation. Convergence science integrates knowledge, tools, and thought strategies from various fields and is the focal point where novel insights arise. Convergence Mental Health presents a blueprint for leveraging convergence science within the context of mental health in order to improve patient outcomes and health care systems.
Contents
Framing Definitions
1. Leveraging Convergence Science to Address Global Mental Health Challenges
2. On the road to convergence research: scientists reaching across disciplines to tackle tough problems.
3. Convergence and the Changing Nature of Innovation
4. Developing Convergence Neuroscience as a Model
5. Establishing Transdisciplinarity within a University: Learning from the Experience of the University of Technology Sydney
6. The Therapeutic Centaur: Training the half-human, half-computer clinician of 2040
7. Update on the War on Mental Illness: Perspectives on Translational Psychiatry
8. Promoting early child development: using convergence science for the scalable assessment and monitoring of cognitive development
9. Artificial Intelligence in Mental Health
10. Precision Mental Health: Focus on Depression
11. Emerging Role for Technology in Positive Psychiatry Interventions: Importance of Convergence Medicine in Improving Mental Well-being
12. A Social, Behavioral and Implementation Science Perspective on Convergence Mental Health
13. Convergence Mental Health Across the Life Span: Advances in Precision Geriatric Psychiatry
14. Convergence Neuroscience of Meditative Mind-Body Therapies for Mental Health
15. The use of bioinformatics and big data for the in silico study of psychiatric disorders
16. Converging technologies between the Space Mars Mission and Earth Global Mental Health
17. Innovation Diplomacy in the Clinical Neurosciences
18. Towards Multi-Omic Informed Psychotropic Prescribing
19. Biobehavioral Sensing for Objective Evaluation of OCD Patients
20. An Introduction to Antidepressant Pharmacomicrobiomics and Implications in Depression
21. Blockchain for Convergence Science in Mental Health
22. Global Mental Health and Technology: Examples of the Asia-Pacific Economic Cooperation Digital Hub for Mental Health and the Enhanced Measurement-Based care Effectiveness in Depression
23. Digital Health Entrepreneurship: A Convergent Discipline for Mental Health
24.Stanford's Brainstorm Lab for Mental Health Innovation
25. Innovating dementia care through convergence science in brain health: UCSF Memory Aging Center as a case example
26. NODE.Health Algorithm to Support Digital Mental Health Validation
27. Key Considerations for Developing Digital Health Accelerators
28. Screening for Convergent Practitioners in Health Research and Innovation: The Role of a High Potential Personality
29. The Minds Behind the Technology: Lessons on Entrepreneurial Mental Health
30. Consumer participation in personalized psychiatry:
31. Collaborative Research and Investment to Secure
