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Personalised Medicine by Predictive Modeling in Stroke for better Quality of Life

Objective

Stroke is one of the most severe medical problems with far-reaching public health and socio-economic impact, gathering momentum in an ageing society. PRECISE4Q sets out to minimise the burden of stroke for the individual and for society. It will create multi-dimensional data-driven predictive simulation computer models enabling – for the first time – personalised stroke treatment, addressing patient’s needs in four stages: prevention, acute treatment, rehabilitation and reintegration.
Heterogeneous data from multidisciplinary sources will be integrated: genomics, microbiomics, biochemical; imaging including mechanistic biophysiological models of brain perfusion/function; social, lifestyle, gender; economic and worklife, requiring substantial efforts for information extraction, semantic labelling and standardisation.
Novel hybrid model architectures, structured prediction models, complex deep-learning and gradient boosting models will form the Digital Stroke Patient Platform including a Stroke Risk CDSS (Clinical Decision Support System), Treatment Outcomes CDSS, Rehab Programme, Socio-Economic Planning Tool and New QvidLab. The decision support will be tailored to the patient's current life stage thus enabling clinicians to optimise prevention and treatment strategies over time, and will include personalised coping strategies, support of well-being and reintegration into social life and work.
The predictive capability and clinical precision will be validated with real clinical data generated by (i) prospective clinical studies and (ii) retrospective analyses of big data sets: health registries, cohort studies, health insurance data, electronic health records.
PRECISE4Q will have a clinically measurable and sustainable impact leading to better understanding of risk, health and resilience factors. In contrast to current schematic therapy guidelines, it will support patients throughout their life-long journey by personalised strategies for their specific needs.

Coordinator

CHARITE - UNIVERSITAETSMEDIZIN BERLIN

Address

Chariteplatz 1
10117 Berlin

Germany

Activity type

Higher or Secondary Education Establishments

EU Contribution

€ 1 445 000

Participants (11)

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EMPIRICA GESELLSCHAFT FUR KOMMUNIKATIONS UND TECHNOLOGIEFORSCHUNG MBH

Germany

EU Contribution

€ 567 750

INSTITIUID TEICNEOLAIOCHTA BHAILE ATHA CLIATH

Ireland

TECHNOLOGICAL UNIVERSITY DUBLIN

Ireland

EU Contribution

€ 1 278 750

EIDGENOESSISCHE TECHNISCHE HOCHSCHULE ZUERICH

Switzerland

EU Contribution

€ 467 205

TARTU ULIKOOL

Estonia

EU Contribution

€ 366 250

FUNDACIO INSTITUT GUTTMANN

Spain

EU Contribution

€ 377 190

LINKOPINGS UNIVERSITET

Sweden

EU Contribution

€ 454 225

MEDIZINISCHE UNIVERSITAT GRAZ

Austria

EU Contribution

€ 315 625

DEUTSCHES FORSCHUNGSZENTRUM FUR KUNSTLICHE INTELLIGENZ GMBH

Germany

EU Contribution

€ 281 250

AOK NORDOST - DIE GESUNDHEITSKASSE

Germany

EU Contribution

€ 118 750

QMENTA IMAGING, SL

Spain

EU Contribution

€ 306 250

Project information

Grant agreement ID: 777107

Status

Ongoing project

  • Start date

    1 May 2018

  • End date

    30 April 2022

Funded under:

H2020-EU.3.1.5.

  • Overall budget:

    € 5 978 245

  • EU contribution

    € 5 978 245

Coordinated by:

CHARITE - UNIVERSITAETSMEDIZIN BERLIN

Germany