The Digital Future of Brain Health
The report discusses the impact of digital technology on brain health, focusing on big data, machine learning, continuous monitoring, consumerization, and open science.
(Generated with the help of GPT-4)
Quick Facts | |
---|---|
Report location: | source |
Language: | English |
Publisher: | World Economic Forum |
Authors: | Allan Jones, Barbara Sahakian, Florian Holsboer, Frank Tarazi, Geoffrey Ling, Gordon Liu, H. Robert Horvitz, Henry Markram, I-han Chou, Jeffrey Borenstein, Joshua Sanes, Kay Davies, Melanie Walker, Michael Ehlers, Nancy Ip, Olivier Oullier, P. Murali Doraiswamy, Sarah Caddick, Tetsuyuki Maruyama, Jessica Beegle |
Geographic focus: | Global |
Page count: | 10 pages |
Methods
The research method involved reviewing emerging themes in digital technology and their potential impact on brain health. The report synthesizes information from various sources, including scientific studies, technological advancements, and healthcare industry trends.
(Generated with the help of GPT-4)
Key Insights
The report by the World Economic Forum's Global Agenda Council on Brain Research explores the intersection of digital technology and brain health. It highlights the potential of big data, machine learning, continuous monitoring, consumerization, and open science to transform our understanding and treatment of brain disorders. The report emphasizes the need for collaboration, rigorous scientific evidence, and regulatory compliance to fully realize the benefits of digital advancements in healthcare. It also addresses the challenges of data privacy, the need for standardization, and the importance of creating a cooperative ecosystem to foster innovation in brain health research.
(Generated with the help of GPT-4)
Additional Viewpoints
Categories: English publication language | Global geographic scope | big data | brain health | consumerization | continuous monitoring | data privacy | digital futures | digital innovation | digital life | digital technology | health | healthcare innovation | machine learning | open science | regulatory compliance | science | technology