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 * About
   * Partners
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   * AI-SPRINT Alliance
   * Deliverables
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     * Personalised Healthcare
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     * Farming 4.0
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AI IN SECURE PRIVACY-PRESERVING COMPUTING CONTINUUM

 * About
   * Partners
   * External Advisory Board
 * Results
   * AI-SPRINT Alliance
   * Deliverables
   * Components
   * Use Cases
     * Personalised Healthcare
     * Maintenance & Inspection
     * Farming 4.0
 * Publications
   * Scientific Publications
   * Press Clippings and Press Releases
 * News & Events
   * News
   * Events
   * Webinars

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 * About
   * Partners
   * External Advisory Board
 * Results
   * AI-SPRINT Alliance
   * Deliverables
   * Components
   * Use Cases
     * Personalised Healthcare
     * Maintenance & Inspection
     * Farming 4.0
 * Publications
   * Scientific Publications
   * Press Clippings and Press Releases
 * News & Events
   * News
   * Events
   * Webinars


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PERSONALISED HEALTHCARE


BREADCRUMB

 1. Home
 2. Personalised Healthcare
 3. 





BACKGROUND

In AI-SPRINT, the Life Sciences Department of the Barcelona Supercomputing
Center (BSC) leads the medical use case on personalised healthcare with its
focus on stroke risk assessment and prevention. Over 36 months, BSC will
implement its COMPSs programming models and machine learning developments in
this AI-SPRINT use case. It will use the edge-cloud environment as an effective
framework to develop innovative and impactful clinical applications for stroke
prevention, with a view to realising the benefits of incorporating wearable
technology into healthcare, such as continuous data acquisition and low patient
burden.


USE CASE ECOSYSTEM 

This use case combines the efforts of: 

 * Barcelona Supercomputing Center: Data analyst and modelling provider. High
   performance computing (HPC) provider - MareNostrum. Leading the use case and
   coordinating all phases of the study from wearable device acquisition to
   analysis and modelling as a specialist in complex data analytics for
   personalised medicine and accessibility to high computational power.
 * Foundation Freno al ICTUS: Non-profit organisation with the mission of
   overcoming the personal, family and social impacts of stroke-related illness.
   Managing use case study participants and committed to implementing the
   necessary protocols in compliance with all applicable laws and regulations on
   personal data protection.
 * Nuubo: Wearable device provider with a team of IT entrepreneurs and doctors
   specialised in arrhythmia and cardiologists.
 * María Alonso de Leciñana, MD, PhD: Stroke neurologist at “La Paz” University
   Hospital, in Madrid, serving as a medical advisor in the use case development
   and implementation. 


KEY FACTS

In the European Union, stroke is the second most common cause of death and a
leading cause of adult disability. In 2017, there were 1.12 million incident
strokes in Europe, 9.53 million stroke survivors, 0.46 million deaths and 7.06
million disability-adjusted life years (DALYs) lost because of stroke. The
number of people living with stroke is forecast to increase by 27% between 2017
and 2047 in the EU (Source: H. A. Wafa, et al, ‘Burden of Stroke in Europe’ in
Stroke, vol. 15, No. 8, July 2020, available in open access journal). 
Associated costs are a significant burden in the EU. In 2017, this was estimated
at €45 billion, including direct and indirect costs of care provision and
productivity loss. These costs are expected to increase dramatically with
growing populations and the number of elderly citizens alongside the rise in
stroke events and their long-term sequelae. Studies has projected that the
absolute burden of stroke is increasing and expected to continue over the next
three decades with smaller portions of the population of working age. The
imperative is to make greater efforts to prevent stroke and improve healthcare
planning and priority setting, with a view to reducing the expected financial
and logistic challenges in already strained healthcare systems. (Source:
European Journal of Stroke, R. Luengo-Fernandez et al, vol. 5, issue 1, October
2019). 


UNIQUENESS

BSC’s use case focuses on personalised healthcare, collecting different kinds of
information and combining quantitative and qualitative data. Per patient, the
personalised model will gather this information, anonymously and respecting both
privacy and security frameworks: 

 * Lifestyle information from questionnaires.
 * Biochemical measurements, like glucose, cholesterol, or haemoglobin, if
   available.
 * Heart parameters digital data, like heart rhythms, atrial fibrillations,
   electrocardiograms, from wearable devices.

BSC will enhance its high-performance data analytics framework in Edge-to-Cloud
platforms to manage distribution and parallelism across the resources. 
AI-SPRINT will test its technology on a use case for personalised stroke risk
assessment and prevention enhanced with AI models.
AI-SPRINT will focus on ensuring the protection of sensitive data and healthcare
risk forecasting models. The distinctive AI-SPRINT framework makes possible the
adoption of wearable and mobile devices to capture new insights on patient care
powered by AI, with the smart allocation of the workload between cloud and
edge. 


BUSINESS IMPACT

The final model will provide personalised notifications, alerts, and
recommendations for stroke prevention, which is a reduced number of strokes, and
a faster detection of risks of strokes.
This project, based on Artificial Intelligence in the healthcare industry,
represents a unique opportunity for implementing effective healthcare
applications working in real-time monitoring patients’ vital signs. Using
Artificial Intelligence to help reinvigorate modern healthcare, such as:

 * Improved patient monitoring.
 * Enhanced patient care.
 * Reduced human error.
 * Better managed patient flow.

 


POTENTIAL SOCIETAL OR ENVIRONMENTAL IMPACTS

The BSC personalised healthcare use case will significantly impact on
well-being. It will pave the way for an effective framework based on Artificial
Intelligence models helping to prevent stroke risks coupled with a lifestyle
data. This is expected to benefit people aged between 40 and 80, improving and
extending human lives. AI-SPRINT will therefore also contribute to the United
Nation’s Sustainable Development Goals (SDG 3) on “Ensuring healthy lives and
promoting well-being for all at all ages”, including increasing life expectancy
and helping to save lives. 

 

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The AI-Sprint project has received funding from the European Union Horizon 2020
research and innovation programme under Grant Agreement No. 101016577



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