ABC FOR MEDICAL APPLICATIONS AI, BIG DATA AND CLOUD EU PERSPECTIVE - SASA JENKO, PHD EUROPEAN COMMISSION DG RESEARCH & INNOVATION AND DG SANTE ...
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ABC for medical applications
AI, Big Data and Cloud
EU perspective
Sasa Jenko, PhD
European Commission
DG Research & Innovation and DG SANTE
ABC for medical applications: AI, Big Data
and Cloud
• European open
• science cloud Big data • Digitalising health
• European Commission Cloud Strategy • and care
Artificial intelligence
for Europe
ABC for medical applications: AI, Big Data and Cloud
Coordinated Plan on the Development and Use of ‘’AI Made in Europe’’
• National AI strategies: By mid-2019 all Member States should have their own strategies in place outlining
investment levels and implementation measures, which will feed into discussions at EU-level
• A new European AI public-private partnership: A new research and innovation partnership on AI will be
set up, to foster collaboration between academia and industry in Europe and to define a common strategic
research agenda on AI
• A new AI scale-up fund: The Commission will support startups and innovators in AI and blockchain in
their early stages as well as for companies in their scale-up phase
• Developing and connecting world-leading centres for AI: European AI excellence centres will be
developed and connected, world-reference testing facilities will be established in areas such as connected
mobility, and the uptake of AI across the economy will be encouraged through Digital Innovation Hubs (€66
million for robotics hubs are announced today). A European Innovation Council pilot initiative will also be
launched to support next generation AI technologies
High Level Group of Experts
European AI Alliance
https://ec.europa.eu/futurium/en/ai-alliance-consultation/membership
ABC for medical applications: AI, Big Data and Cloud What is artificial intelligence? Artificial intelligence (AI) refers to systems that display intelligent behaviour by analysing their environment and taking actions – with some degree of autonomy – to achieve specific goals. From Communication from the Commission to the European Parliament, the European Council, the Council, the European Economic and Social Committee and the Committee of the Regions on Artificial Intelligence for Europe
ABC for medical applications: AI, Big Data and Cloud Examples:
ABC for medical applications: AI, Big Data and Cloud
Simple example:
StethoMe: faster diagnostics within arm’s reach
• wireless intelligent stethoscope StethoMe
• smart device uses artificial intelligence
algorithms to monitor a patient’s breathing
sounds, allowing parents to examine their
child and send the data to a doctor –
without leaving the house
StethoMe, a start-up from Poznan, Polan
AI in health and care - examples
http://www.htx-h2020.eu/
Patient-centred, societally oriented, real-time
decision-making on access to reimbursement
for health technologies throughout Europe
prediction models and AI/machine learning
methods are used to forecast treatment effects
in groups of patients that receive combination
therapies, individualised treatments
Coordinator: Wim Goettsch, University of Utr
ABC for medical applications: AI, Big Data and Cloud
What is Big Data?
Big data in health encompasses high
volume, high diversity biological,
clinical, environmental, and
lifestyle information collected
https://www.ncbi.nlm.nih.gov/pubmed/27338147 from single individuals to large
cohorts, in relation to their health
and wellness status, at one or
several time points.
Big Data in Health refers to large routinely
or automatically collected datasets, which
are electronically captured and stored. It is
reusable in the sense of multipurpose data
and comprises the fusion and
connection of existing databases for the
purpose of improving health and health
system performance. It does not refer to
data collected for a specific study.
https://ec.europa.eu/health/sites/health/files/ehealth/docs/bigdata_report_en.pdf
Big Data example:
Big Data for Better Outcomes is a comprehensive European research programme
funded by the Innovative Medicines Initiative 2 Joint Undertaking (IMI2) aiming to
develop key enablers to support healthcare system transformation through the use of
big data.
European Health Data and Evidence Network will build
a large scale federated network of data sources and
harmonize 100 million anonymized health records
https://bd4bo.eu/i
ABC for medical applications: AI, Big Data
and Cloud
• What is European open science cloud?
A catalogue of European research data funded with public
money
A catalogue of services to re-use these data
Tools to make their own data open and FAIR
Advanced tools to merge and analyse the data in a secure
environment
A simple access gateway to these services (EOSC Portal)
Communities at work (EOSC ‘Coalition of Doers’)
Prototype EOSC Portal
Turning FAIR into Reality: Report and Action Plan: https://doi.org/10.2777/1524
Prompting an EOSC in practice: https://ec.europa.eu/info/events/2nd-eosc-summit-2018-jun-11_en• Building European open science cloud EOSC
H2020 INFRAEOSC Calls 2018-2020 > 250 Mio €
INFRAEOSC-06-2019
Enhancing the user
Portal experience
INFRAEOSC-03-2020
development Portal integration &
consolidation
INFRAEOSC-01-2018
Access to commercial
services
INFRAEOSC-04-2018
Connecting ESFRI
infrastructures
INFRAEOSC-05-b-2018-
New services 2019
Coordination of national
new users initiatives
INFRAEOSC-02-2019
Prototyping new services for new
users
INFRAEOSC-07-2020
Increasing the service
offer
INFRAEOSC-05-a-c-2018
Governance - EOSC coordination structure
and policy - FAIR Data uptake and
complianceEOSC thematic cloud: Health research and innovation
Cloud
RTD-BIG-DATA@ec.europaEOSC thematic cloud: Health research and innovation
Cloud
Interoperability, standards where necessary:
community driven
HRIC ethics/legal/security issues = gatekeeper
Health Research and Innovation Cloud
SaaS: software as a service
PaaS: platform as a service
FAIR data • Health Care?
• Health Research
Public trust
Local/ national
Local/ national clouds
clouds
Some requirements: Needs:
Data resides locally strategic agenda built on close interaction between
Federation of local databases/clouds community & policy
licenses for data use code of conduct, guidance on interpretation for
lessons learned from different health implementation of GDPR in health research/care
communities
better dialogue between researchers, clinicians,
lawyers, bioinformaticians and ethicists
skills: researchers trained in ethics/data , DPO
RTD-BIG-DATA@ec.europaCloud example:
EUROPOND: European Progression of Neurological Disease Initiative
• data from neurological patients to improve treatment and develop
predictive models of disease progression
• Case studies: Dementia, understanding healthy ageing process,
neurodevelopment, multiple sclerosis, prion diseases
• two software-based tools for computer-assisted evaluation of
patients
• computational modelling tools in cloud-based image-analysis
systems that supply radiological assessments to clinicians
Coordinators: Daniel Alexander, Neil Oxtoby, UniversityCloud example:
CINECA: Common Infrastructure for National Cohorts in Europe, Canada, and
Africa
- transcontinental cloud-based human data exchange
- access to human big data to accelerate research and improve
patient care
Coordinator: Thomas Kaene, EMBLABC and D for medical applications: AI, Big Data, Cloud and Digicare
Health Priorities in the Digital Single Market Strategy
Commission Mid-Term Review of the Digital Single Market Strategy,
May 2017
http://ec.europa.eu/health/ehealth/policy/index_en.htm
http://ec.europa.eu/digital-agenda/en/eu-policy-ehealthDigicare example:
1. Secure access and exchange of healthcare data
• Progressive exchange of e-prescriptions and patient summaries across EU
• Increased interoperability & exchange of Electronic Health Records
eHDSI: Better citizens’ access to
their health data
http://ec.europa.eu/health/ehealth/policy/ind
ex_en.htmDigicare example:
2. Health data pooled for research and personalised medicine
EU
1 million genomes initiative
China
100 million
genomes United
€ 7.9 billion
States
1 million
genomes
€ 3.8 billion
http://ec.europa.eu/health/ehealth/policy/index_en.htm
http://ec.europa.eu/digital-agenda/en/eu-policy-ehealthDigicare example:
2. Health data pooled for research and personalised medicine
300 hospitals connected for patients with rare diseases to exchange
images, results of diagnostic tests,..
26 Countries Full
Member
Affiliated
partner
Clinical online patient management
teleradiology/surgery/imaging/dermato
24 Networks gy
Virtual clinical boards
Remote trainingDigicare example:
3. Digital tools and data for citizens empowerment and person-centred healthcare
SELFIE: Sustainable intEgrated chronic care modeLs for multi-morbidity: delivery, FInancing,
and performancE
connecting data from health care and social care systems
for multimorbid patients
Coordinator: Maureen Rutten van Moelken, Erasmus UnivABC and D for medical applications: AI, Big Data, Cloud and Digicare
Future Skills:
https://www.nature.com/articles/d42473-019-00143-2ABC and D for medical applications: AI, Big Data, Cloud and Digicare
Funds:
• European open
• science cloud FAIR data • Digitalising health
• European Commission Cloud Strategy Public trust • and care
Horizon Europe Horizon Europe
Digital Europe program Digital Europe program
Connecting Europe Facility
Artificial intelligence
for Europe European Regional and Development
Fund
Structural Reform Support Program
InvestEU
National fundsYou can also read
