2017
DOI: 10.1097/pp9.0000000000000006
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Viva Europa, a Land of Excellence in Research and Innovation for Health and Wellbeing

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Cited by 6 publications
(4 citation statements)
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“…The technological barriers to introducing systems medicine into clinical practice are thus being overcome, as shown by the growing number of successful applications being presented at international conferences [39]. It is likely to take a generation to achieve the training of a new cohort of data scientists, medical doctors, health practitioners, and policy makers who are familiar with ‘advanced intelligence’ and who will work at the crossroads of human wisdom and machine performance, its application to healthcare and wellbeing, and its endorsement by the citizens through a world alliance of health and wellbeing [40].…”
Section: Ten Years Of Systems Medicine In Genome Medicine and Beyondmentioning
confidence: 99%
“…The technological barriers to introducing systems medicine into clinical practice are thus being overcome, as shown by the growing number of successful applications being presented at international conferences [39]. It is likely to take a generation to achieve the training of a new cohort of data scientists, medical doctors, health practitioners, and policy makers who are familiar with ‘advanced intelligence’ and who will work at the crossroads of human wisdom and machine performance, its application to healthcare and wellbeing, and its endorsement by the citizens through a world alliance of health and wellbeing [40].…”
Section: Ten Years Of Systems Medicine In Genome Medicine and Beyondmentioning
confidence: 99%
“…6,7 The development of an open standard protocol enabling full compliance with personal data and privacy protection regulations will catalyze the transformation of healthcare delivery and the transition toward emphasis on management of well-being. 8 With the full deployment of systems medicine, through their monitor-ing over a long period of time, individuals will be provided with actionable recommendations to maintain their state of health and well-being, detect early events indicative of a risk or a transition to disease, enabling their management and reversal. The expectation is that expanding the monitoring from one to millions then billions of individuals over the next 25 years will trigger in one generation a reversal of the escalating costs of healthcare management, drug, and diagnostic development, providing the basis for a more cost-efficient and sustainable integrated healthcare system.…”
Section: What Will Be the Impact?mentioning
confidence: 99%
“…As in many other scientific and technological fields, the European Union has demonstrated its potential to play a leading role in the development of systems medicine. 8 The European Commission has invested very significant resources during the past decades in the development of systems biology and systems medicine, that is, through the Coordinating Action for the implementation of Systems Medicine in Europe (CASyM), which led to the formation of the European Association of Systems Medicine (EASyM; http://easym.eu), and a call for action to make sense of big data in health research. 9 The journal Systems Medicine will hopefully serve as a vehicle to echo the progress made in demonstrating the effectiveness of systems medicine principles, first in successful proof-of-concept pilot projects, then with deployment through renovated healthcare systems worldwide.…”
Section: What Will Be the Impact?mentioning
confidence: 99%
“…As elegantly elaborated by Topol, the use of big data in medicine is going to disrupt the medical system as we know it 2. Big data include both clinical data (eg, originating from electronic health records, healthcare system claims data or patient-generated data such as from apps), biological data issued from the development of molecular research leading to multi-omics complex molecular data,3 social data (eg, originating from social networks, Internet of Things, physical social connexions or economic data repositories), imaging data and environmental data (eg, urbanistic data, pollution or atmospheric conditions) 4 5. In parallel, artificial intelligence–based methodologies allowing computer systems to ‘learn’ from data (ie, progressively improve performance on a specific task without being explicitly programmed) are more and more accessible 6 7.…”
Section: Introductionmentioning
confidence: 99%